US20150161195A1 - DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof - Google Patents
DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof Download PDFInfo
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- US20150161195A1 US20150161195A1 US14/486,769 US201414486769A US2015161195A1 US 20150161195 A1 US20150161195 A1 US 20150161195A1 US 201414486769 A US201414486769 A US 201414486769A US 2015161195 A1 US2015161195 A1 US 2015161195A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2365—Ensuring data consistency and integrity
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
Definitions
- FIG. 1 illustrates the systems and processes utilized by the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof.
- FIG. 2 illustrates the data collecting and data approval processes utilized by the DVIVD Match Audit System and 5 Start Data Recorder Method Thereof.
- FIG. 3 is a Logic Data Flow Chart describing the CPEI Data Processing Steps in Audit #2.
- FIG. 4 displays all the databases and modules used by the DVIVD Event Data Match Audit Recorder.
- FIG. 5 displays the reporting components of the DVIVD Event Data Match Audit Recorder.
- FIG. 6 is a visual representation of the DVIVD Event Data Match Audit Recorder according to the preferred embodiment.
- FIGS. 7A-7D display the CPEI Audit #1 and Audit #2 Data Match Testing Section of the DVIVD Event Data Match Audit Recorder. It is a visual display to indicate the status of the Data Match Audit.
- FIG. 7A displays the results of the DVIVD Data Match Testing when the Audit #1 and the Audit #2 are a Match.
- FIG. 7B displays the results of the DVIVD Data Match Testing when the Audit #1 and the Audit #2 are a Mismatch.
- FIG. 7C displays the results of the DVIVD Data Match Testing indicating the 2 nd audit data results is data that has not been validated or verified by the CPEI Owner 352 .
- FIG. 7D displays the results of the DVIVD Data Match Testing indicating that the data audit has not been performed.
- FIG. 8 displays the Element Owner and Formulaic Data Field Audit Report Section of the DVIVD Event Data Match Audit Recorder.
- FIG. 9 displays the CPEI Data Match Testing Processes and Data Match Testing Reporting components of the DVIVD Event Data Match Audit Recorder.
- FIG. 10 is an example of a report displaying a Primary Effort.
- FIGS. 11A-11D is an example of a report displaying a Secondary Effort and a Tertiary Effort.
- FIG. 11A is an example of a report displaying a check marked Secondary Effort that has not yet passed the Primary Owner Credited Rules.
- FIG. 11B is an example of a report displaying a check marked Tertiary Effort that has not yet passed the Secondary Owner Credited Rules.
- FIG. 11C is an example of a report displaying a star marked Secondary Effort that has passed the Primary Owner Credited Rules.
- FIG. 11D is an example of a report displaying a star marked Tertiary Effort that has passed the Secondary Owner Credited Rules.
- FIGS. 12A-12B is an example of a report displaying an Auto Effort and an Auto Inference Association.
- FIG. 12A is a display of an open star Auto Effort report.
- FIG. 12B is a display of an Auto Inference Association report.
- FIG. 13 describes the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof with regard to the approval of Auto Efforts.
- FIG. 14 describes the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof with regard to the approval of Secondary Efforts.
- FIG. 15 describes the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof with regard to the approval of Tertiary Efforts.
- FIG. 16 describes the specific DVIVD Match Audit System and 5 Star Event Data Recorder Method for generating Auto Inference Associations.
- a First Device Data Collecting Computing Device
- a Computerized Device Data System Computing Device
- Level #1 Identified Process (Auto)
- the present invention is directed to a dynamic live dual audit system and its first and second dual audit tests recorded in real time by the method's DVIVD 5 Star Event Data Match Audit Recorder which displays audited CPEI Match and Mismatch Reports and Mismatch audit data System location.
- the DVIVD Match Audit System and 5 Star Event Data Recorder System Thereof insures audited reports are as inputted by the system auditor and are validated and independently verified CPEI Element Effort Event Data displays whether said data is inputted by an Element Effort Owner or generated by the System automatically from other Element inputted effort event data.
- the term DVIVD (Dual Validated Independently Verified Dynamic) defines that the system and method are twice validating and independently verifying the system's effort event data.
- the first is when the source data is input into the system's repository, and the second is when it validates and verifies that the system data that is dynamically constructed and reported from its core database matches the source data that was initially input into the system's repository.
- CPEI Conjoined Project Effort Instance
- CPEI Conjoined Project Effort Instance
- FIG. 1 is a hi-line diagram that illustrates the systems and processes utilized by a “DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof”; wherein said System and Method include a Data Collection Process 332 , a Data Auditing Processes 334 , an Approved Data Identified Process (Auto) 116 , a Data Audit Level Rating Processes 336 , a Data Approval Processes 346 , a Data Match Audit Testing Processes 338 , and a Data Reporting Processes 340
- the System and Method are comprised of the Data Collection Processes 332 in which a CPEI Data 156 is collected from an Industry Data Sources 100 via a First Device (Data Collecting Computing Device) 101 and input via a Second Device (Data Reformatting Computing Device) 103 into an Industry Data Repository Database 104 via an Element Effort Event Data Inputting (Form 2 ) 102 .
- the Industry Data Repository Database 104 within a Computerized Device (Data System Computing Device) 105 is the database for storing raw CPEI Data 156 in a CPEI Data Repository Tables 166 , for storing a CPEI Exhibit 124 in CPEI Exhibit Data Repository Tables 168 , and for storing general System data.
- FIG. 1 establishes Data Approval Processes 346 in which CPEI Data 156 is migrated from the Industry Data Repository Database 104 to an Industry Core Database 106 semi-automatically based on the approval of an Audit Rules 342 .
- Both the Data Auditing Processes 334 and the Data Approval Processes 346 are designed to ensure data integrity within the System and Method by providing tools, processes, and rules for validating and verifying data within.
- FIG. 1 also defines the Industry Core Database 106 as a relational database that stores formatted CPEI Data 156 and general System data.
- FIG. 1 also details the System and Method includes Data Audit Level Rating Processes 336 of CPEI Data 156 based on an Level Rules 130 132 134 136 138 140 and an Audit Processes 141 142 144 146 148 FIG. 3 based on the result of the Data Auditing Processes 334 . Furthermore, changes to Data Audit Level Rating Processes 336 are maintained by a System Auditor (Effortologist) 348 via a DVIVD 5-Star Auditor Working Panel Screen Interface (Form # 3 ) 118 as displayed in FIG. 1 .
- FIG. 1 details Data Reporting Processes 340 , wherein CPEI Data 156 is displayed within a CPEI Report 110 (Conjoined Project Effort Instance Report). This process is facilitated by a CPEI Report Generating Modules 112 .
- FIG. 1 details that Data Match Testing Processes 338 are facilitated by a DVIVD Event Data Match Audit Recorder 114 , wherein the DVIVD Event Data Match Audit Recorder 114 is an interactive tool used by the System Auditor 348 in the facilitation of the Data Auditing Processes.
- FIG. 2 illustrates the data collecting and data approval processes utilized by the “DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof”.
- the System is comprised of the Data Collection Processes 332 in which CPEI Data 156 and Industry Data Sources 100 are received via the First Device (Data Collecting Computing Device) 101 and are input into the Industry Data Repository Database housed in Computerized Device (Data System Computing Device) 105 via Data Inputting Form 2 utilizing the Second Device (Data Reformatting Computing Device) 103 .
- Industry Data Sources 100 which provide the CPEI Data are now used by a CPEI 1 st Data Auditing Process 128 to validate and verify the submitted CPEI Data 156 so it can be moved along to a Level #1: Identified Process (Auto) 126 .
- the Industry Data Sources 100 may include, but are not limited to the following:
- Element Effort Event Data Inputting (Form 2) 102 is used by the Second Device (Data Reformatting Computing Device) 103 to format raw data into usable CPEI Data 156 that will eventually be migrated into the Industry Core Database 106 in Computerized Device (Data System Computing Device) 105 .
- the Industry Data Source 100 will be preserved as CPEI Exhibit 124 which is stored in the Industry Data Repository Database 104 to be used as a means for validating and verifying CPEI Data 156 .
- FIG. 2 further establishes the Data Approval Process 346 in which the CPEI Data 156 is either designated as an Approved Formatted CPEI Data 122 or a Non-Approved Formatted CPEI Data 120 .
- CPEI Data 156 must be approved before it can be migrated from the Industry Data Repository Database 104 to the Industry Core Database 106 .
- Data Approval Process 346 is a semi-automated process by which the System Auditor 348 reviews the CPEI Data 156 according to established Audit Rules 342 .
- Data Approval Process 346 is facilitated by an Audit #1 Approval (Form 2A) 108 .
- FIG. 3 illustrates various processes within the “DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof” relating to the management of Data Audit Level Rating Processes 336 that occur via the DVIVD 5 Star Auditor Working Panel Screen Interface (Form 3 ) 118 .
- the System and Method Thereof are comprised of the Data Audit Level Rating Processes 336 facilitated by System Auditors 348 via DVIVD 5 Star Auditor Working Panel Screen Interface (Form 3) 118 .
- a Data Audit Level Rating Processes 336 are used to:
- FIG. 3 defines that Data Audit Level Rating Processes 336 include a system by which the CPEI Report 110 Audit Level Rating 132 134 136 138 140 is raised as more an Elements 300 are fulfilled.
- FIG. 3 details the System and Method Thereof assigns the Audit Level #1 Rating 132 to CPEI Report 110 when Audit Level #1 Rules 141 have been satisfied.
- FIG. 3 details the System and Method Thereof assigns the Level #2 Rating 134 to CPEI Report 110 when Level #2 Rule 2 Audit Process 142 has been satisfied.
- FIG. 3 details the System and Method Thereof assigns the Level #3 Rating 136 to CPEI Report 110 when Level #3 Rule 3 Audit Process 144 has been satisfied.
- FIG. 3 details the System and Method Thereof assigns the Level #4 Rating to CPEI Report 110 when Level #4 Rule 4 Audit Process 146 has been satisfied.
- FIG. 3 further details that the System and Method Thereof assigns the highest Audit Level #5 Rating 140 , a System Audit Certified Effort 360 , to CPEI Report 110 when Level #5 Rule 5 Audit Process 148 has been satisfied.
- FIG. 4 displays all of the databases and modules used in the DVIVD Event Data Match Audit Recorder 114 as they relate to the various Data Auditing Processes 334 that occur as part of the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof.
- CPEI Data 156 moves throughout the Industry Databases, Industry Data Repository Database 104 and Industry Core Database 106 , it encounters a number of Data Auditing Processes 334 , the sum of which provides the infrastructure for the DVIVD Event Data Match Audit Recorder 114 Data Match Audit Processes 338 and Data Reporting Processes 340 .
- FIG. 4 details the Data Auditing Processes 334 provide a verification and validation process in which CPEI Data 156 is logged when it firsts enters the System in the Industry Data Repository Database 104 , logged when the CPEI Data 156 is migrated to the Industry Core Database 106 , logged when CPE Audit Level Rating 132 134 136 138 140 changes occur, and logged when the CPEI Data 156 is dynamically reported from the Industry Core Database 106 .
- FIG. 4 also details that the System is comprised of, but not limited to, the following auditing modules:
- FIGS. 1 & 4 detail how the Industry Data Repository Database 104 is used to store CPEI Data 156 , which includes CPEI Exhibits 124 . Said CPEI Exhibits 124 can be accessed and displayed within the DVIVD Event Data Match Audit Recorder 114 as a means for validating CPEI Data 156 and CPEI Reports 110 .
- FIG. 4 expands on this by detailing that the CPEI Data Match Testing Module 162 is the main component for executing the two main Data Auditing Processes 334 of the System and Method, which include but are not limited to:
- the results of the CPEI Data Match Testing Module 162 are displayed within the DVIVD Event Data Match Audit Recorder 114 within a CPEI Data Match Testing Component 176 see FIG. 5 .
- FIG. 4 also details how CPEI Data 156 is extracted from the Industry Core Database 106 via the CPEI Generating Module 184 and used in a number of dynamic reports.
- CPEI Generating Modules 184 are used in the Data Auditing Processes 334 by generating and displaying CPEI Data 156 within the DVIVD Event Data Match Audit Recorder 114 .
- FIG. 5 displays a DVIVD Event Data Match Audit Recorder Reporting Components 188 as they relate to the System and Method Thereof.
- Said reporting components/modules include, but are not limited to, the following:
- FIG. 6 is a visual representation of the DVIVD Event Data Match Audit Recorder 114 according to the preferred embodiment of the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof.
- FIG. 6 displays the various reporting sections within the DVIVD Event Data Match Audit Recorder 114 which can include, but are not limited to, the following:
- FIG. 6 displays the Header Section 190 is used to report the CPEI Owner 352 general data along with general CPEI information. This can include, but is not limited to, the following:
- the function of the 5 Star Event Data Recorder Section 192 is to report the Audit Level Rating 132 134 136 138 140 of the reported CPEI Report 110 and the date on which it was achieved.
- the Audit Level Rating 132 134 136 138 140 is depicted by a Star Icon 230 232 234 236 238 or a Check Mark Icon 240 .
- the date the Audit Level Rating 132 134 136 138 140 was achieved is depicted by displaying MM/DD/YYYY in a field next to the corresponding Star Icon 230 232 234 236 238 or Check Mark Icon 240 .
- the 5 Star Event Data Recorder Section 192 in FIG. 6 displays an example of the DVIVD Event Data Match Audit Recorder 114 for a Primary CPEI 356 at Audit Level #1 Rating 136 .
- the DVIVD Event Data Match Audit Recorder 114 is designed to facilitate Primary CPEIs 356 as well as a Secondary Efforts 226 , a Tertiary Efforts 228 , an Auto Efforts 242 , and an Auto Inference Associations 244 at a variety of Audit Level Ratings 132 134 136 138 140 . It should therefore be noted that both the Header Section 190 and 5 Star Event Data Recorder Section 192 will be reported differently based on CPEI type and the current Audit Level Rating 132 134 136 138 140 .
- FIG. 7A-7D displays the CPEI Audit #1 and Audit #2 Data Match Testing Section 194 of the DVIVD Event Data Match Audit Recorder 114 according to the preferred embodiment of the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof.
- the CPEI Audit #1 and Audit #2 Data Match Testing Section 194 is used to display the Data Match Audit Testing Process 338 results that have occurred between the CPEI 1 st Data Auditing Process 128 and CPEI 2 nd Data Auditing Procedure 150 . This is indicated by an Audit Light Indicators 198 FIG. 9 in a Data Match Testing Report 214 which details the results according to the following
- a Match/Mismatch Rollover Window 200 will appear when a viewer rolls over or mouses over the Audit Light Indicators 198 within the CPEI Audit #1 and Audit #2 Data Match Testing Section 194 .
- the Match/Mismatch Rollover Message Window 200 is used to detail a summary audit report as to the audit status of the CPEI 110 .
- FIGS. 7A-7D display four examples of the CPEI Audit #1 and Audit #2 Data Match Testing Section 194 .
- the CPEI Audit #1 and Audit #2 Data Match Testing Section 194 will be reported differently based on the status of any given CPEI Report 110 .
- FIG. 7A is displaying a match result from the Data Match Audit Testing Processes 338 indicated by three Green Light Indicators 202 .
- the Match/Mismatch Message Rollover Window 200 will display “Match,” indicating no errors were found in the reporting.
- FIG. 7B is displaying a mismatch result from the Data Match Audit Testing Processes 338 indicated by one Green Light Indicator 202 and two Red Light Indicators 204 .
- the Match/Mismatch Message Rollover Window 200 will display “Mismatch,” indicating errors were found in the reporting.
- the Match/Mismatch Message Rollover Window 200 message will further indicate the data that does not match by displaying the data that was input vs. the data that was reported so the error can be corrected.
- FIG. 7C is displaying the result from the Data Match Audit Testing Processes 338 as one Green Light Indicator 202 and two Yellow Light Indicators 206 .
- the two Yellow Light Indicators 206 indicate the 2 nd audit data results is data that has not been validated or verified by the CPEI Owner 352 and this message will be displayed in the Match/Mismatch Message Rollover Window 200 when a user rolls over Yellow Light Indicator 206 .
- FIG. 7D is displaying the result from the Data Match Audit Testing Processes 338 as three White Light Indicators 208 .
- the White Light Indicators 208 indicate the Data Match Audit Testing Processes 338 have not been performed and this message will be disiplayed in the Match/Mismatch Message Rollover Window 200 when a user rolls over White Light Indicator 208 .
- FIG. 8 displays the Element Owner and CPEI Data Field Audit Report Section 196 of the DVIVD Event Data Match Audit Recorder 114 according to the preferred embodiment of the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof.
- the Element Owner and CPEI Data Field Audit Report Section 196 is used to display:
- FIG. # 8 a CPEI Data Field Icons 210 for CPEI Data Fields 362 currently fulfilled are highlighted.
- FIG. 8 details that an Element Icons 212 are highlighted when the corresponding Element 300 has System Auditor 348 approved association to a Project 306 which is the subject of the CPEI Report 110 .
- FIG. # 8 illustrates that CPEI Data Field 362 displayed within the Element Owner Indicator and CPEI Data Field Audit Report Section 196 may contain a VIV Icon 366 indicating that the corresponding CPEI Data Field 362 has been validated and independently verified by an approved CPEI Exhibit 124 .
- FIG. 8 illustrates the Primary CPEI 356 with Audit Level #3 Rating 136 .
- the DVIVD Event Data Match Audit Recorder 114 is designed to facilitate Primary CPEI 356 as well Secondary Efforts 226 , Tertiary Efforts 228 , Auto Efforts 242 , and Auto Inference Associations 244 at a variety of Audit Level Ratings 132 134 136 138 140 .
- FIG. 9 is a high line diagram that details the parameters and processes used to provide the Data Match Audit Testing Processes 338 of the DVIVD Event Data Match Audit Recorder 114 as related to the CPEI Audit #1 and Audit #2 Data Match Testing Section 194 use of the Audit Light Indicators 198 .
- the CPEI Data Match Testing Module 162 compares CPEI Data 156 from both the Industry Data Repository Database 104 and the Industry Core Database 106 . This information is used by CPEI 1 st Data Auditing Process 128 and CPEI 2 nd Data Auditing Process 150 , whereby the CPEI Data Match Testing Module 162 uses those CPEI Exhibits 124 stored within the Industry Data Repository Database 104 as a means for said comparison.
- CPEI Data Match Testing Module 162 is used to generate a CPEI Data Match Testing Report 368 that will include the CPEI Exhibits 124 for reference.
- Said CPEI Data Match Testing Report 368 includes the Audit Light Indicators 198 within the CPEI Audit #1 and Audit #2 Data Match Testing Section 194 of the DVIVD Event Data Match Audit Recorder 114 .
- the specific details of said CPEI Data Match Testing Report 368 are displayed within a Match/Mismatch Message Rollover Window 200 that appears whenever a viewer rolls over the Match/Mismatch Light Indicators 198 .
- FIG. 10 illustrates an example of Primary CPEI 356 displays with their corresponding Audit Level Rating 132 134 136 138 140 .
- FIG. 10 is an extension of FIG. 3 , wherein FIG. 10 visually displays multiple Primary CPEIs 356 according to the following:
- FIG. 11A-11D illustrates an example of a report displaying Secondary Effort 226 and Tertiary Effort 228 displays.
- FIGS. 11A-11D is an extension of FIGS. 14 and 15 , wherein FIGS. 11A-11D visually displays the Secondary Effort 226 and Tertiary Effort 228 that are a result of the Data Auditing Processes 334 defined in FIGS. 14 and 15 :
- FIG. 12A-12B illustrates an example of a report displaying Auto Effort 242 and Auto Inference Association 244 displays.
- FIG. 12A-12B is an extension of FIGS. 13 and 16 , wherein FIG. 12A visually displays the Auto Effort 242 and FIG. 12B visually displays the Auto Inference Association 244 , displays that are a result of the Data Auditing Processes 334 defined in FIGS. 13 and 16 :
- FIG. 13 illustrates the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof with regard to the approval of Auto Efforts 242 .
- FIG. 13 details how the System and Method validate and verify Auto Effort 242 data.
- Auto Efforts 242 conform to the following Auto Effort Rules 250 :
- FIG. 13 also details those validation and verification procedures for Auto Efforts 242 as defined by the Auto Effort Rules 250 .
- Validation and verification procedures include the following:
- FIG. 14 details how the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof validates and verifies Secondary Efforts 226 .
- Secondary Efforts 226 are awarded to Secondary Element 372 when the following a Secondary Effort Rules 268 have been met:
- FIG. 14 also details validation and verification audit procedures for Secondary Efforts 226 as defined by the System and Method which include:
- FIG. 15 illustrates how the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof validates and verifies Tertiary Efforts 228 .
- Tertiary Efforts 228 are awarded when a Tertiary Effort Rules 284 have been met and approved:
- FIG. 15 also details the validation and verification procedures for Tertiary Efforts 228 as defined by the System and Method Thereof. Validation and Verification procedures include the following:
- FIG. 16 describes the specific DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof in regards to Auto Inference Associations 244 .
- Auto Inference Association Rules 376 include, but are not limited to, the following:
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Abstract
A live dual audit system and recorder method validating and independently verifying element effort event data, assigning audit levels to element effort reports displaying audit level icons whether effort event data is submitted by effort owner or generated by the system's dynamic method, and whether the effort is acknowledged by the project owner. A semi-automated first audit examines repository auditor input effortology decisions against provided effort exhibit data. A fully automated second audit examines dynamically generated system effort data against repository data. A DVIVD event data match audit recorder displays real time dynamic dual audit test reports with each effort audit level movement, and indicates any element effort audit mismatch data system location. An element's audited effort dataset level is displayed in the DVIVD event data match audit recorder until all dataset requirements are fulfilled and satisfy that element's highest audit level, and displays a “System Audit Certified” icon report.
Description
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FIG. 1 illustrates the systems and processes utilized by the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof. -
FIG. 2 illustrates the data collecting and data approval processes utilized by the DVIVD Match Audit System and 5 Start Data Recorder Method Thereof. -
FIG. 3 is a Logic Data Flow Chart describing the CPEI Data Processing Steps inAudit # 2. -
FIG. 4 displays all the databases and modules used by the DVIVD Event Data Match Audit Recorder. -
FIG. 5 displays the reporting components of the DVIVD Event Data Match Audit Recorder. -
FIG. 6 is a visual representation of the DVIVD Event Data Match Audit Recorder according to the preferred embodiment. -
FIGS. 7A-7D display theCPEI Audit # 1 andAudit # 2 Data Match Testing Section of the DVIVD Event Data Match Audit Recorder. It is a visual display to indicate the status of the Data Match Audit. -
FIG. 7A displays the results of the DVIVD Data Match Testing when theAudit # 1 and theAudit # 2 are a Match. -
FIG. 7B displays the results of the DVIVD Data Match Testing when theAudit # 1 and theAudit # 2 are a Mismatch. -
FIG. 7C displays the results of the DVIVD Data Match Testing indicating the 2nd audit data results is data that has not been validated or verified by theCPEI Owner 352. -
FIG. 7D displays the results of the DVIVD Data Match Testing indicating that the data audit has not been performed. -
FIG. 8 displays the Element Owner and Formulaic Data Field Audit Report Section of the DVIVD Event Data Match Audit Recorder. -
FIG. 9 displays the CPEI Data Match Testing Processes and Data Match Testing Reporting components of the DVIVD Event Data Match Audit Recorder. -
FIG. 10 is an example of a report displaying a Primary Effort. -
FIGS. 11A-11D is an example of a report displaying a Secondary Effort and a Tertiary Effort. -
FIG. 11A is an example of a report displaying a check marked Secondary Effort that has not yet passed the Primary Owner Credited Rules. -
FIG. 11B is an example of a report displaying a check marked Tertiary Effort that has not yet passed the Secondary Owner Credited Rules. -
FIG. 11C is an example of a report displaying a star marked Secondary Effort that has passed the Primary Owner Credited Rules. -
FIG. 11D is an example of a report displaying a star marked Tertiary Effort that has passed the Secondary Owner Credited Rules. -
FIGS. 12A-12B is an example of a report displaying an Auto Effort and an Auto Inference Association. -
FIG. 12A is a display of an open star Auto Effort report. -
FIG. 12B is a display of an Auto Inference Association report. -
FIG. 13 describes the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof with regard to the approval of Auto Efforts. -
FIG. 14 describes the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof with regard to the approval of Secondary Efforts. -
FIG. 15 describes the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof with regard to the approval of Tertiary Efforts. -
FIG. 16 describes the specific DVIVD Match Audit System and 5 Star Event Data Recorder Method for generating Auto Inference Associations. - 100. Industry Data Sources
- 101. A First Device (Data Collecting Computing Device)
- 102. Element Effort Event Data Inputting (Form 2)
- 103. A Second Device (Data Reformatting Computing Device)
- 104. Industry Data Repository Database
- 105. A Computerized Device (Data System Computing Device)
- 106. Industry Core Database
- 108.
Audit # 1 Approval (Form 2A) - 110. CPEI Reports
- 112. CPEI Report Generating Modules
- 114. DVIVD Event Data Match Audit Recorder
- 116. Approved Data Identified Process (Auto)
- 118.
DVIVD 5 Star Auditor Working Panel Screen Interface (Form 3) - 120. Non-approved Formatted CPEI Data
- 122. Approved Formatted CPEI Data
- 124. CPEI Exhibits
- 126. Level #1: Identified Process (Auto)
- 128.
CPEI 1st Data Auditing Process - 130.
Level # 1 Effort Data Staging Area - 132.
Audit Level # 1 Rating - 134.
Audit Level # 2 Rating - 136.
Audit Level # 3 Rating - 138.
Audit Level # 4 Rating - 140.
Audit Level # 5 Rating - 141.
Level # 1 Rule Audit Process - 142.
Level # 2Rule 2 Audit Process - 144.
Level # 3Rule 3 Audit Process - 146.
Level # 4Rule 4 Audit Process - 148.
Level # 5Rule 5 Audit Process - 150.
CPEI 2nd Data Auditing Process - 152. Auditing Recorder Data
- 156. CPEI Data
- 157. - - -
- 158. - - -
- 160.
CPEI 5 Star Event Data Recording Module - 162. CPEI Data Match Testing Module
- 164. CPEI Exhibit Display Module
- 166. CPEI Data Repository Tables
- 168. CPEI Exhibit Data Repository Tables
- 170. CPEI Data Tables
- 172. Event Data Recorder Table
- 174. Header Component
- 176. CPEI Data Match Testing Component
- 178. CPEI Effort Line Data Component
- 180. 5 Star Event Data Recorder Component
- 182. Effort Instance Field Audit Event Data Meter
- 184. CPEI Generating Modules
- 188. DVIVD Event Data Match Audit Recorder Reporting Component
- 190. Header Section
- 191. CPEI Owner I.D.#
- 192. 5 Star Event Data Recorder Section
- 194.
CPEI Audit # 1 andAudit # 2 Data Match Testing Section - 196. Element Owner and CPEI Data Field Audit Report Section
- 198. Audit Light Indicators
- 200. Match/Mismatch Message Rollover Window
- 202. Green Light Indicator
- 204. Red Light Indicator
- 206. Yellow Light Indicator
- 208. White Light Indicator
- 210. CPEI Data Field Icon
- 212. Element Icon
- 214. Data Match Testing Report
- 216. Primary CPEI Display Module
- 218.
Level # 2 Primary CPEI - 220.
Level # 3 Primary CPEI - 222.
Level # 4 Primary CPEI - 224.
Level # 5 Primary CPEI - 226. Secondary Effort
- 228. Tertiary Effort
- 230. 1 Star Icon
- 232. 2 Star Icon
- 234. 3 Star Icon
- 236. 4 Star Icon
- 238. 5 Star Icon
- 240. Check Mark Icon
- 241. Secondary Star Icon
- 242. Auto Effort
- 243. Tertiary Star Icon
- 244. Auto Inference Association
- 246. Open Star Icon
- 248. Auto Effort (Manual or Auto) Auditing Procedure
- 249. DVIVD 5-
Star Audit # 2 Auto Effort Working Panel Screen Interface - 250. Auto Effort Rules
- 252. 2 Open Star Rules
- 254. 3 Open Star Rules
- 256. 4 Open Star Rules
- 258. Auto Effort Approving Process
- 259. Approved Auto Effort
- 260. Unapproved Auto Effort
- 262. 2 Open Star Auto Effort
- 264. 3 Open Star Auto Effort
- 266. 4 Open Star Auto Effort
- 267. DVIVD 5-
Star Audit # 2 Secondary Effort Working Panel Screen Interface - 268. Secondary Effort Rules
- 269. Secondary Effort Auditing Procedure
- 270. General DVIVD Rules
- 272. DVIVD Audit Level Rules
- 274. Project Owner Credited Rules
- 276. Unapproved Secondary Effort
- 278. Check Marked Approved Secondary Effort
- 280. Star Marked Approved Secondary Effort
- 282. Secondary Effort Approving Process
- 283. DVIVD 5-
Star Audit # 2 Tertiary Effort Working Panel Screen Interface - 284. Tertiary Effort Rules
- 286. Tertiary Effort Auditing Procedure
- 288. Tertiary Effort Approving Process
- 290. Unapproved Tertiary Effort
- 292. Check Marked Approved Tertiary Effort
- 294. Star Marked Approved Tertiary Effort
- 296. Effort Instance
- 298. Inference
- 300. Element
- 302. People
- 304. Places
- 306. Project
- 308. Object
- 309. CPEI Domain Authority
- 310. Point In Phasetime (PiPT)
- 312. Auto Inference Association Reports
- 314. PP1-PP2 on PR@PiPT
- 316. PP1-PL2 on PR@PiPT
- 318. PP1-OB2 on PR@PiPT
- 320. PL1-PP2 on PR@PiPT
- 322. PL1-PL2 on PR@PiPT
- 324. PL1-OB2 on PR@PiPT
- 326. OB1-PP2 on PR@PiPT
- 328. OB1-PL2 on PR@PiPT
- 330. OB1-OB2 on PR@PiPT
- 332. Data Collection Processes
- 334. Data Auditing Processes
- 336. Data Audit Level Rating Processes
- 338. Data Match Audit Testing Processes
- 340. Data Reporting Processes
- 342. Audit Rules
- 344. - - -
- 346. Data Approval Processes
- 348. System Auditor (Effortologist)
- 350. - - -
- 352. CPEI Owners
- 354. Effort
- 356. Primary CPEI
- 358. - - -
- 360. System Audit Certified Effort
- 362. CPEI Data Field
- 364. Element Data Fields
- 365. Element Indicator
- 366. VIV Icon
- 368. CPEI Data Match Testing Report
- 370. Primary Element
- 372. Secondary Element
- 374. Tertiary Element
- 376. Auto Inference Effort Rules
- 378. Reciprocating Associations
- The present invention is directed to a dynamic live dual audit system and its first and second dual audit tests recorded in real time by the method's
DVIVD 5 Star Event Data Match Audit Recorder which displays audited CPEI Match and Mismatch Reports and Mismatch audit data System location. The DVIVD Match Audit System and 5 Star Event Data Recorder System Thereof insures audited reports are as inputted by the system auditor and are validated and independently verified CPEI Element Effort Event Data displays whether said data is inputted by an Element Effort Owner or generated by the System automatically from other Element inputted effort event data. The term DVIVD (Dual Validated Independently Verified Dynamic) defines that the system and method are twice validating and independently verifying the system's effort event data. The first is when the source data is input into the system's repository, and the second is when it validates and verifies that the system data that is dynamically constructed and reported from its core database matches the source data that was initially input into the system's repository. The term “CPEI” (Conjoined Project Effort Instance) is defined as a point in time when a People's role, a Place's contribution, and an Object's utilization on a Project intersect when an event occurs. -
FIG. 1 . is a hi-line diagram that illustrates the systems and processes utilized by a “DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof”; wherein said System and Method include aData Collection Process 332, a Data Auditing Processes 334, an Approved Data Identified Process (Auto) 116, a Data Audit Level Rating Processes 336, a Data Approval Processes 346, a Data Match Audit Testing Processes 338, and a Data Reporting Processes 340 - The System and Method are comprised of the Data Collection Processes 332 in which a
CPEI Data 156 is collected from anIndustry Data Sources 100 via a First Device (Data Collecting Computing Device) 101 and input via a Second Device (Data Reformatting Computing Device) 103 into an IndustryData Repository Database 104 via an Element Effort Event Data Inputting (Form 2) 102. The IndustryData Repository Database 104 within a Computerized Device (Data System Computing Device) 105 is the database for storingraw CPEI Data 156 in a CPEI Data Repository Tables 166, for storing aCPEI Exhibit 124 in CPEI Exhibit Data Repository Tables 168, and for storing general System data. -
FIG. 1 establishes Data Approval Processes 346 in whichCPEI Data 156 is migrated from the IndustryData Repository Database 104 to anIndustry Core Database 106 semi-automatically based on the approval of an Audit Rules 342. Both theData Auditing Processes 334 and the Data Approval Processes 346 are designed to ensure data integrity within the System and Method by providing tools, processes, and rules for validating and verifying data within. -
FIG. 1 also defines theIndustry Core Database 106 as a relational database that stores formattedCPEI Data 156 and general System data. -
FIG. 1 also details the System and Method includes Data Audit Level Rating Processes 336 ofCPEI Data 156 based on anLevel Rules 130 132 134 136 138 140 and an Audit Processes 141 142 144 146 148FIG. 3 based on the result of the Data Auditing Processes 334. Furthermore, changes to Data Audit Level Rating Processes 336 are maintained by a System Auditor (Effortologist) 348 via a DVIVD 5-Star Auditor Working Panel Screen Interface (Form #3) 118 as displayed inFIG. 1 . - Accordingly,
FIG. 1 details Data Reporting Processes 340, whereinCPEI Data 156 is displayed within a CPEI Report 110 (Conjoined Project Effort Instance Report). This process is facilitated by a CPEIReport Generating Modules 112. - Finally,
FIG. 1 details that Data Match Testing Processes 338 are facilitated by a DVIVD Event DataMatch Audit Recorder 114, wherein the DVIVD Event DataMatch Audit Recorder 114 is an interactive tool used by theSystem Auditor 348 in the facilitation of the Data Auditing Processes. -
FIG. 2 illustrates the data collecting and data approval processes utilized by the “DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof”. - The System is comprised of the Data Collection Processes 332 in which
CPEI Data 156 andIndustry Data Sources 100 are received via the First Device (Data Collecting Computing Device) 101 and are input into the Industry Data Repository Database housed in Computerized Device (Data System Computing Device) 105 viaData Inputting Form 2 utilizing the Second Device (Data Reformatting Computing Device) 103. -
Industry Data Sources 100 which provide the CPEI Data are now used by aCPEI 1stData Auditing Process 128 to validate and verify the submittedCPEI Data 156 so it can be moved along to a Level #1: Identified Process (Auto) 126. TheIndustry Data Sources 100 may include, but are not limited to the following: -
- web sites
- resume databases
- online resumes
- print media
- third party databases
- private resources
- During the Data Collection Processes 332, Element Effort Event Data Inputting (Form 2) 102 is used by the Second Device (Data Reformatting Computing Device) 103 to format raw data into
usable CPEI Data 156 that will eventually be migrated into theIndustry Core Database 106 in Computerized Device (Data System Computing Device) 105. TheIndustry Data Source 100 will be preserved asCPEI Exhibit 124 which is stored in the IndustryData Repository Database 104 to be used as a means for validating and verifyingCPEI Data 156. -
FIG. 2 further establishes the Data Approval Process 346 in which theCPEI Data 156 is either designated as an Approved FormattedCPEI Data 122 or a Non-Approved FormattedCPEI Data 120.CPEI Data 156 must be approved before it can be migrated from the IndustryData Repository Database 104 to theIndustry Core Database 106. Data Approval Process 346 is a semi-automated process by which theSystem Auditor 348 reviews theCPEI Data 156 according to established Audit Rules 342. Data Approval Process 346 is facilitated by anAudit # 1 Approval (Form 2A) 108. -
FIG. 3 illustrates various processes within the “DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof” relating to the management of Data Audit Level Rating Processes 336 that occur via theDVIVD 5 Star Auditor Working Panel Screen Interface (Form 3) 118. - According to
FIG. 3 , the System and Method Thereof are comprised of the Data Audit Level Rating Processes 336 facilitated bySystem Auditors 348 viaDVIVD 5 Star Auditor Working Panel Screen Interface (Form 3) 118. A Data Audit Level Rating Processes 336 are used to: -
- Review the
Audit Level Rating 132 134 136 138 140 ofCPEI Report 110, along with validation and verification, usingCPEI Exhibits 124 and Level Rules Audit Processes 141, 142, 144, 146, 148. - Review level change requests made by a
CPEI Owners 352, owners ofCPEI Reports 110; - Review
new CPEI Exhibits 124 that support upgradingAudit Level Ratings 132 134 136 138 140; - Approve or reject
Audit Level Ratings 132 134 136 138 140 according to Level Rules Audit Processes 141 142 144 146 148.
- Review the
-
FIG. 3 defines that Data Audit Level Rating Processes 336 include a system by which theCPEI Report 110Audit Level Rating 132 134 136 138 140 is raised as more anElements 300 are fulfilled. -
FIG. 3 details the System and Method Thereof assigns theAudit Level # 1Rating 132 toCPEI Report 110 whenAudit Level # 1Rules 141 have been satisfied. -
FIG. 3 details the System and Method Thereof assigns theLevel # 2Rating 134 toCPEI Report 110 whenLevel # 2Rule 2Audit Process 142 has been satisfied. -
FIG. 3 details the System and Method Thereof assigns theLevel # 3Rating 136 toCPEI Report 110 whenLevel # 3Rule 3Audit Process 144 has been satisfied. -
FIG. 3 details the System and Method Thereof assigns theLevel # 4 Rating toCPEI Report 110 whenLevel # 4Rule 4Audit Process 146 has been satisfied. -
FIG. 3 further details that the System and Method Thereof assigns the highestAudit Level # 5Rating 140, a SystemAudit Certified Effort 360, toCPEI Report 110 whenLevel # 5Rule 5Audit Process 148 has been satisfied. -
FIG. 4 displays all of the databases and modules used in the DVIVD Event DataMatch Audit Recorder 114 as they relate to the various Data Auditing Processes 334 that occur as part of the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof. - According to
FIG. 4 , asCPEI Data 156 moves throughout the Industry Databases, IndustryData Repository Database 104 andIndustry Core Database 106, it encounters a number ofData Auditing Processes 334, the sum of which provides the infrastructure for the DVIVD Event DataMatch Audit Recorder 114 Data Match Audit Processes 338 and Data Reporting Processes 340. -
FIG. 4 details theData Auditing Processes 334 provide a verification and validation process in whichCPEI Data 156 is logged when it firsts enters the System in the IndustryData Repository Database 104, logged when theCPEI Data 156 is migrated to theIndustry Core Database 106, logged when CPEAudit Level Rating 132 134 136 138 140 changes occur, and logged when theCPEI Data 156 is dynamically reported from theIndustry Core Database 106. -
FIG. 4 also details that the System is comprised of, but not limited to, the following auditing modules: -
- A
CPEI 5 Star Event Data Recording Module 160: A module which generates anAuditing Recorder Data 152. - A CPEI Generating Modules 184: Modules that will generate and display
CPEI Data 156 visually. - A CPEI Data Match Testing Module 162: Modules that will compare data from the Industry
Data Repository Database 104 against data reported from theIndustry Core Database 106 and display match or mismatch results within the DVIVD Event DataMatch Audit Recorder 114. - A CPEI Exhibit Display Module 164: A module that displays those
CPEI Exhibits 124 used to validate/verifyCPEI Reports 110.
- A
-
FIGS. 1 & 4 detail how the IndustryData Repository Database 104 is used to storeCPEI Data 156, which includes CPEI Exhibits 124. SaidCPEI Exhibits 124 can be accessed and displayed within the DVIVD Event DataMatch Audit Recorder 114 as a means for validatingCPEI Data 156 andCPEI Reports 110. -
FIG. 4 expands on this by detailing that the CPEI DataMatch Testing Module 162 is the main component for executing the two mainData Auditing Processes 334 of the System and Method, which include but are not limited to: -
-
CPEI 1st Data Auditing Process 128: a semi-automated process by which theCPEI Data 156 is logged as it is entered into the IndustryData Repository Database 104. - A
CPEI 2nd Data Auditing Process 150: a fully automated process by which theCPEI Data 156 is logged as reported from theIndustry Core Database 106 so that it may be audited againstCPEI Data 156 as inputted into the IndustryData Repository Database 106.
-
- The results of the CPEI Data
Match Testing Module 162 are displayed within the DVIVD Event DataMatch Audit Recorder 114 within a CPEI DataMatch Testing Component 176 seeFIG. 5 . -
FIG. 4 also details howCPEI Data 156 is extracted from theIndustry Core Database 106 via theCPEI Generating Module 184 and used in a number of dynamic reports.CPEI Generating Modules 184 are used in theData Auditing Processes 334 by generating and displayingCPEI Data 156 within the DVIVD Event DataMatch Audit Recorder 114. -
FIG. 5 displays a DVIVD Event Data Match AuditRecorder Reporting Components 188 as they relate to the System and Method Thereof. Said reporting components/modules include, but are not limited to, the following: -
- A Header Component 174: A component of the DVIVD Event Data Match
-
Audit Recorder 114 that displaysCPEI Owner 352 basic Information reported from a CPEI Data Tables 170 which reside in theIndustry Core Database 106. -
- CPEI Data Match Testing Component 176: A component displaying the
CPEI 1stData Auditing Process 128 andCPEI 2ndData Auditing Process 150 testing results. The testing results display a match or mismatch betweenCPEI Data 156 reported from theIndustry Core Database 106 andCPEI Data 156 inputted into the IndustryData Repository Database 104. - A CPEI Effort Line Data Component 178: A component that visually displays
CPEI Report 110 of theCPEI Owner 352. SaidCPEI Report 110 is generated dynamically from the CPEI Data Tables 170 within theIndustry Core Database 106. - A 5 Star Event Data Recorder Component 180: A component that displays the
Audit Level Rating 132 134 136 138 140 details which includes 1) theAudit Level Rating 132 134 136 138 140 at which theCPEI Report 110 is currently rated, one to five Stars; and 2) the dates at which theAudit Level Rating 132 134 136 138 140 was achieved. TheAudit Level Rating 132 134 136 138 140 data is dynamically reported from an Event Data Recorder Table 172 of theIndustry Core Database 106. - An Effort Instance Field Audit Event Data Meter 182: A component that displays the status of all
Elements 300 andCPEI Data Fields 362 in theCPEI Report 110. This status data is extracted from the Event Data Recorder Table 172 of theIndustry Core Database 106. - CPEI Exhibits 124: A component that displays all of the
CPEI Exhibits 124 used to validate and verify theCPEI Report 110. The CPEI Exhibits 124 are stored within the IndustryData Repository Database 104.
- CPEI Data Match Testing Component 176: A component displaying the
-
FIG. 6 is a visual representation of the DVIVD Event DataMatch Audit Recorder 114 according to the preferred embodiment of the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof. -
FIG. 6 displays the various reporting sections within the DVIVD Event DataMatch Audit Recorder 114 which can include, but are not limited to, the following: - 1. A
Header Section 190 - 2. A 5 Star Event
Data Recorder Section 192 - 3. A
CPEI Audit # 1 andAudit # 2 DataMatch Testing Section 194 - 4. An Element Owner and CPEI Data Field
Audit Report Section 196 -
FIG. 6 displays theHeader Section 190 is used to report theCPEI Owner 352 general data along with general CPEI information. This can include, but is not limited to, the following: - 1. CPEI Owner's 352 name
- 2.
CPEI Owner 352Core Database 106 ID# - 3.
CPEI Report 110 ID# - The function of the 5 Star Event
Data Recorder Section 192 is to report theAudit Level Rating 132 134 136 138 140 of the reportedCPEI Report 110 and the date on which it was achieved. TheAudit Level Rating 132 134 136 138 140 is depicted by a Star Icon 230 232 234 236 238 or aCheck Mark Icon 240. The date theAudit Level Rating 132 134 136 138 140 was achieved is depicted by displaying MM/DD/YYYY in a field next to the corresponding Star Icon 230 232 234 236 238 orCheck Mark Icon 240. - The 5 Star Event
Data Recorder Section 192 inFIG. 6 displays an example of the DVIVD Event DataMatch Audit Recorder 114 for aPrimary CPEI 356 atAudit Level # 1Rating 136. However, the DVIVD Event DataMatch Audit Recorder 114 is designed to facilitatePrimary CPEIs 356 as well as aSecondary Efforts 226, aTertiary Efforts 228, anAuto Efforts 242, and anAuto Inference Associations 244 at a variety ofAudit Level Ratings 132 134 136 138 140. It should therefore be noted that both theHeader Section Data Recorder Section 192 will be reported differently based on CPEI type and the currentAudit Level Rating 132 134 136 138 140. -
FIG. 7A-7D displays theCPEI Audit # 1 andAudit # 2 DataMatch Testing Section 194 of the DVIVD Event DataMatch Audit Recorder 114 according to the preferred embodiment of the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof. - According to
FIGS. 7A-7D , theCPEI Audit # 1 andAudit # 2 DataMatch Testing Section 194 is used to display the Data MatchAudit Testing Process 338 results that have occurred between theCPEI 1stData Auditing Process 128 andCPEI 2ndData Auditing Procedure 150. This is indicated by anAudit Light Indicators 198FIG. 9 in a DataMatch Testing Report 214 which details the results according to the following -
- a. A
Green Light Indicator 202 indicates that theCPEI Report 110 has passed the Data MatchAudit Testing Process 338. - b. A
Red Light Indicator 204 indicates that theCPEI Report 110 has not passed the Data MatchAudit Testing Process 338 and is reporting a mismatch. - c. A
Yellow Light Indicator 206 indicates that theCPEI Data 156 has not been validated or verified by theCPEI Owner 352. - d. A
White Light Indicator 208 indicates thatData Auditing Processes 334 have not been performed on theCPEI Report 110.
- a. A
- According to
FIGS. 7A-7D , a Match/Mismatch Rollover Window 200 will appear when a viewer rolls over or mouses over theAudit Light Indicators 198 within theCPEI Audit # 1 andAudit # 2 DataMatch Testing Section 194. The Match/MismatchRollover Message Window 200 is used to detail a summary audit report as to the audit status of theCPEI 110. -
FIGS. 7A-7D display four examples of theCPEI Audit # 1 andAudit # 2 DataMatch Testing Section 194. TheCPEI Audit # 1 andAudit # 2 DataMatch Testing Section 194 will be reported differently based on the status of any givenCPEI Report 110. -
FIG. 7A is displaying a match result from the Data Match Audit Testing Processes 338 indicated by threeGreen Light Indicators 202. When a user rolls overGreen Light Indicator 202 of the DataMatch Testing Report 214, the Match/MismatchMessage Rollover Window 200 will display “Match,” indicating no errors were found in the reporting. -
FIG. 7B is displaying a mismatch result from the Data Match Audit Testing Processes 338 indicated by oneGreen Light Indicator 202 and twoRed Light Indicators 204. When a user rolls overRed Light Indicator 204 of the DataMatch Testing Report 214, the Match/MismatchMessage Rollover Window 200 will display “Mismatch,” indicating errors were found in the reporting. The Match/MismatchMessage Rollover Window 200 message will further indicate the data that does not match by displaying the data that was input vs. the data that was reported so the error can be corrected. -
FIG. 7C is displaying the result from the Data Match Audit Testing Processes 338 as oneGreen Light Indicator 202 and twoYellow Light Indicators 206. The twoYellow Light Indicators 206 indicate the 2nd audit data results is data that has not been validated or verified by theCPEI Owner 352 and this message will be displayed in the Match/MismatchMessage Rollover Window 200 when a user rolls overYellow Light Indicator 206. -
FIG. 7D is displaying the result from the Data Match Audit Testing Processes 338 as threeWhite Light Indicators 208. TheWhite Light Indicators 208 indicate the Data Match Audit Testing Processes 338 have not been performed and this message will be disiplayed in the Match/MismatchMessage Rollover Window 200 when a user rolls overWhite Light Indicator 208. -
FIG. 8 displays the Element Owner and CPEI Data FieldAudit Report Section 196 of the DVIVD Event DataMatch Audit Recorder 114 according to the preferred embodiment of the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof. - According to
FIG. 8 , the Element Owner and CPEI Data FieldAudit Report Section 196 is used to display: -
- An
Element Indicator 365 indicates to which Element 300 a reportedEffort 354 belongs by displaying a double framed icon; - The
Element Indicator 365 also indicates anElement Data Field 364 that has been fulfilled or not fulfilled; - The
CPEI Data Fields 362 that appear within thePrimary CPEI 356, theSecondary Efforts 226, theTertiary Efforts 228,Auto Efforts 242 andAuto Inference Association 244; - Those
CPEI Data Fields 362 that have been validated and verified; - Those
CPEI Data Fields 362 that have not been validated and verified; and - Links to those
CPEI Exhibits 124 used in the validation and verification of theCPEI Data Field 362.
- An
- According to FIG. #8, a CPEI
Data Field Icons 210 forCPEI Data Fields 362 currently fulfilled are highlighted.FIG. 8 details that anElement Icons 212 are highlighted when thecorresponding Element 300 hasSystem Auditor 348 approved association to aProject 306 which is the subject of theCPEI Report 110. - FIG. #8 illustrates that
CPEI Data Field 362 displayed within the Element Owner Indicator and CPEI Data FieldAudit Report Section 196 may contain aVIV Icon 366 indicating that the correspondingCPEI Data Field 362 has been validated and independently verified by an approvedCPEI Exhibit 124. -
FIG. 8 illustrates thePrimary CPEI 356 withAudit Level # 3Rating 136. However, the DVIVD Event DataMatch Audit Recorder 114 is designed to facilitatePrimary CPEI 356 as wellSecondary Efforts 226,Tertiary Efforts 228,Auto Efforts 242, andAuto Inference Associations 244 at a variety ofAudit Level Ratings 132 134 136 138 140. -
FIG. 9 is a high line diagram that details the parameters and processes used to provide the Data Match Audit Testing Processes 338 of the DVIVD Event DataMatch Audit Recorder 114 as related to theCPEI Audit # 1 andAudit # 2 DataMatch Testing Section 194 use of theAudit Light Indicators 198. - According to
FIG. 9 , the CPEI DataMatch Testing Module 162 comparesCPEI Data 156 from both the IndustryData Repository Database 104 and theIndustry Core Database 106. This information is used byCPEI 1stData Auditing Process 128 andCPEI 2ndData Auditing Process 150, whereby the CPEI DataMatch Testing Module 162 uses thoseCPEI Exhibits 124 stored within the IndustryData Repository Database 104 as a means for said comparison. - CPEI Data
Match Testing Module 162 is used to generate a CPEI DataMatch Testing Report 368 that will include theCPEI Exhibits 124 for reference. Said CPEI DataMatch Testing Report 368 includes theAudit Light Indicators 198 within theCPEI Audit # 1 andAudit # 2 DataMatch Testing Section 194 of the DVIVD Event DataMatch Audit Recorder 114. In addition, the specific details of said CPEI DataMatch Testing Report 368 are displayed within a Match/MismatchMessage Rollover Window 200 that appears whenever a viewer rolls over the Match/Mismatch Light Indicators 198. -
FIG. 10 illustrates an example ofPrimary CPEI 356 displays with their correspondingAudit Level Rating 132 134 136 138 140.FIG. 10 is an extension ofFIG. 3 , whereinFIG. 10 visually displaysmultiple Primary CPEIs 356 according to the following: -
- A
Level # 2 Primary CPEI 218:Primary CPEIs 356 will be reported with the 2Star Icon 232 whenLevel # 2Rule 2Audit Process 142 has been met and approved bySystem Auditor 348 as defined withinFIG. 3 . - A
Level # 3 Primary CPEI 220:Primary CPEIs 356 will be reported with the 3Star Icon 234 whenLevel # 3Rule 3Audit Process 144 has been met and approved bySystem Auditor 348 as defined withinFIG. 3 . - A
Level # 4 Primary CPEI 222:Primary CPEIs 356 will be reported with the 4Star Icon 236 whenLevel # 4Rule 4 Audit Process146 has been met and approved bySystem Auditor 348 as defined withinFIG. 3 . - A
Level # 5 Primary CPEI 224:Primary CPEIs 356 will be reported with the 5Star Icon 238 whenLevel # 5Rule 5Audit Process 148 has been met and approved bySystem Auditor 348 as defined withinFIG. 3 .
- A
-
FIG. 11A-11D illustrates an example of a report displayingSecondary Effort 226 andTertiary Effort 228 displays.FIGS. 11A-11D is an extension ofFIGS. 14 and 15 , whereinFIGS. 11A-11D visually displays theSecondary Effort 226 andTertiary Effort 228 that are a result of theData Auditing Processes 334 defined inFIGS. 14 and 15 : -
-
FIG. 11A is aSecondary Effort 226 Display:Secondary Efforts 226 will be reported withCheck Mark Icon 240 whenSecondary Element 372 has an approved association to aPrimary Element 370, wherein said association supported thePrimary Element 370 in achieving theirPrimary CPEI 356, seeFIG. 14 and corresponding specifications. -
FIG. 11B is aTertiary Effort 228 Display:Tertiary Efforts 228 will be reported withCheck Mark Icon 240 when Tertiary Element 374 has an approved association to aSecondary Element 372, wherein said association assisted theSecondary Element 372 in achieving theirSecondary Effort 226, seeFIG. 15 and corresponding specifications. -
FIG. 11C is a Star Marked ApprovedSecondary Effort 280 Display:Secondary Efforts 226 will be reported with Secondary Star Icon 241 whenSecondary Element 372 has an approved association toPrimary Element 370 in achieving theirPrimary CPEI 356 by successfully completing the SecondaryEffort Approving Process 282, seeFIG. 14 and corresponding specifications. -
FIG. 11D is a Star Marked ApprovedTertiary Effort 294 Display:Tertiary Efforts 228 will be reported withTertiary Star Icon 243 when Tertiary Element 374 has an approved association toSecondary Element 372 in achieving theirSecondary Effort 226 by successfully completing the TertiaryEffort Approving Process 288, seeFIG. 15 and corresponding specifications.
-
-
FIG. 12A-12B illustrates an example of a report displayingAuto Effort 242 andAuto Inference Association 244 displays.FIG. 12A-12B is an extension ofFIGS. 13 and 16 , whereinFIG. 12A visually displays theAuto Effort 242 andFIG. 12B visually displays theAuto Inference Association 244, displays that are a result of theData Auditing Processes 334 defined inFIGS. 13 and 16 : -
-
FIG. 12A is a display ofAuto Efforts 242 that will be reported with an Open Star Icon 246, an outline of a star that is not filled in, according to anAuto Effort Rules 250 defined inFIG. 13 . -
FIG. 12B is a display ofAuto Inference Associations 244 that will be reported according to an Auto Inference Effort Rules 376 defined inFIG. 16 .
-
-
FIG. 13 illustrates the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof with regard to the approval ofAuto Efforts 242. -
FIG. 13 details how the System and Method validate and verifyAuto Effort 242 data.Auto Efforts 242 conform to the following Auto Effort Rules 250: -
-
Auto Efforts 242 are automatically generated by the System as a result of a Reciprocating Association 378 entered into the System byElement 300 other than the owner. This includes the reporting ofAuto Efforts 242 when theProject 306 entersElements 300 who worked on theProject 306. -
Auto Efforts 242 must pass through an Auto Effort, Manual or Auto,Auditing Procedure 248, even though theAuto Efforts 242 have not yet gone through the mainData Auditing Processes 334 that pertain toPrimary CPEIs 356. -
Auto Efforts 242 are reported with Open Star Icons 246, the number of which are dependent on the number ofElements 300 that are associated and displayed in theAuto Effort 242 according to Level Rules Audit Processes 141 142 144 146 148. -
Auto Efforts 242 may be generated by the System and Method Thereof via Reciprocating Associations 378. For example, if aPeople 302Element 300 inputs they used anObject 308Element 300 on theProject 306, theObject 308Element 300 will automatically receiveAuto Effort 242 reporting it was used by thePeople 302 on theProject 306. -
Auto Efforts 242 can be reported with a minimum of twoElements 300 when theProject 306, which is a CPEI Domain Authority 309, submits anElement 300 hadEffort 354 on theProject 306. - As more
Element Data Fields 364 are fulfilled in theAuto Effort 242, the number of Open Star Icons 246 will increase. In other words, the Open Star Icons 246 will accumulate until all theElement Data Fields 364 are fulfilled. -
Auto Efforts 242 cannot becomePrimary CPEIs 356 until such time as theCPEI Owner 352 becomes a participant in the System and agrees to theEffort 354. Upon agreement, theAuto Effort 242 will then be subject to theData Auditing Process 334 pertaining toPrimary CPEIs 356.
-
-
FIG. 13 also details those validation and verification procedures forAuto Efforts 242 as defined by theAuto Effort Rules 250. Validation and verification procedures include the following: -
- The
System Auditor 348 can approve or reject theAuto Effort 242 via aDVIVD 5Star Audit # 2 Auto Effort WorkingPanel Screen Interface 249. This procedure utilizesCPEI Exhibits 124 and establishedAuto Effort Rules 250 as a means for approval. CPEI Exhibits 124 are stored in the IndustryData Repository Database 104 and may be submitted by the owner of theAuto Effort 242 orother Elements 300 involved in theAuto Effort 242. - If the
Auto Effort Rules 250, and anOpen Star Rules 252 254 256, have been met, theAuto Effort 242 will be stored in theIndustry Core Database 106 as an Approved Auto Effort 259 with corresponding Open Star Icons 246. During this this process,Auto Effort 242 may be deemedPrimary CPEI 356 or simply remain in theIndustry Core Database 106 as Approved Auto Effort 259, - If the
Auto Effort Rules 250 have not been met, theAuto Effort 242 will be stored as anUnapproved Auto Effort 260 within theIndustry Core Database 106 where it will remain inactive.
- The
-
FIG. 14 details how the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof validates and verifiesSecondary Efforts 226.Secondary Efforts 226 are awarded toSecondary Element 372 when the following a Secondary Effort Rules 268 have been met: -
- The
Secondary Effort 226 onProject 306 can be established in the System whenElement 300, also known asSecondary Element 372, has an approved association to thePrimary Element 370 on theProject 306, wherein theSecondary Element 372 supported thePrimary Element 370 in achieving theirPrimary CPEI 356. - When approved by the
Project 306 owner, theSecondary Effort 226 will display a Secondary Star Icon 241; if not approved by theProject 306 owner, theSecondary Effort 226 will displayCheck Mark Icon 240. -
Secondary Efforts 226 will not be displayed if thePrimary Element 370 disapproves.
- The
-
FIG. 14 also details validation and verification audit procedures forSecondary Efforts 226 as defined by the System and Method which include: -
- The
System Auditor 348 can approve or rejectSecondary Efforts 226 via aDVIVD 5Star Audit 2 Secondary Effort WorkingPanel Screen Interface 267. This is part of a SecondaryEffort Auditing Process 282 which utilizesCPEI Exhibits 124 and establishedSecondary Efforts Rules 268 as a means for approval. CPEI Exhibits 124 are stored in the IndustryData Repository Database 104 and may be submitted by the owner of theSecondary Effort 226 orother Elements 300 involved in theSecondary Effort 226. - Secondary Effort Rules 268 are comprised of, but not limited to, a
General DVIVD Rules 270, a DVIVDAudit Level Rules 272, and a Project Owner CreditedRules 274. - If the
Secondary Effort 226 meets the requirements and rules defined by theGeneral DVIVD Rules 270, theSecondary Effort 226 will move on to the DVIVDAudit Level Rules 272 process. However, if saidGeneral DVIVD Rules 270 are not met, theSecondary Effort 226 will be stored in theIndustry Core Database 106 as an UnapprovedSecondary Effort 276 where it will remain inactive. - If the DVIVD
Audit Level Rules 272 are met, theSecondary Effort 226 will move on to the Project OwnerCredited Rules 274 process. However, if the DVIVDAudit Level Rules 272 are not met theSecondary Effort 226 will be stored in the Industry Core Database as UnapprovedSecondary Effort 276 where it will remain inactive. - If the Project Owner
Credited Rules 274 are met, the theSecondary Effort 226 will be stored in theIndustry Core Database 106 as a Star Marked ApprovedSecondary Effort 280, wherein theSecondary Effort 226 will be displayed with the Secondary Star Icon 241. - If the Project
Owner Effort Rules 274 have not been met, theSecondary Effort 226 will be stored in theIndustry Core Database 106 as a Check Marked ApprovedSecondary Credit 278, wherein theSecondary Effort 226 is displayed withCheck Mark Icon 240 which indicates that, while approved, it has yet to pass the Project Owner Credited Rules 274.
- The
-
FIG. 15 illustrates how the DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof validates and verifiesTertiary Efforts 228.Tertiary Efforts 228 are awarded when aTertiary Effort Rules 284 have been met and approved: -
-
Tertiary Efforts 228 can be established whenElement 300, also known as a Tertiary Element 374, has an approved association to theSecondary Element 372 with theSecondary Effort 226, wherein the approved association assisted theSecondary Element 372 in achieving theSecondary Effort 226. -
Tertiary Efforts 228 must be approved by theSecondary Element 372 which is the subject of theSecondary Effort 226 to which theTertiary Effort 228 is associated. When approved by theSecondary Element 372, theTertiary Effort 228 will display theCheck Mark Icon 240.
-
-
FIG. 15 also details the validation and verification procedures forTertiary Efforts 228 as defined by the System and Method Thereof. Validation and Verification procedures include the following: -
- The
System Auditor 348 can approve or rejectTertiary Efforts 228 via aDVIVD 5 Star Auditor Tertiary WorkingPanel Screen Interface 283. This is part of a TertiaryEffort Auditing Procedure 286 which utilizesCPEI Exhibits 124 and establishedTertiary Efforts Rules 284 as a means for approval. CPEI Exhibits 124 are stored in the IndustryData Repository Database 104 and may be submitted by the owner of theTertiary Effort 228 orother Elements 300 involved in theTertiary Effort 228. -
Tertiary Effort Rules 284 are comprised of, but not limited to,General DVIVD Rules 270, DVIVDAudit Level Rules 272, and Project Owner Credited Rules 274. - If the
Tertiary Effort 228 meets the requirements and rules defined by theGeneral DVIVD Rules 270, theTertiary Effort 228 will move on to the DVIVDAudit Level Rules 272 process. However, if theGeneral DVIVD Rules 270 are not met, theTertiary Effort 228 will be stored in theIndustry Core Database 106 as an UnapprovedTertiary Effort 290 where it will remain inactive. - If the DVIVD
Audit Level Rules 272 are met, theTertiary Effort 228 will move on to the Project OwnerCredited Rules 274 process. However, if said DVIVDAudit Level Rules 272 are not met, theTertiary Effort 228 will be stored in theIndustry Core Database 106 asUnapproved Tertiary Effort 290 where it will remain inactive. - If the Project Owner
Credited Rules 274 are met, theTertiary Effort 228 will be stored as a Star Marked ApprovedTertiary Effort 294 within theIndustry Core Database 106, wherein theTertiary Effort 228 will be reported with aTertiary Star Icon 243 indicating its approval status. - If the Project Owner
Credited Rules 274 have not been met, theTertiary Effort 228 will be stored in theIndustry Core Database 106 as a Check Marked ApprovedTertiary Effort 292 which indicates that, while approved, it has yet to pass the Project Owner Credited Rules 274.
- The
-
FIG. 16 describes the specific DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof in regards toAuto Inference Associations 244. Auto Inference Association Rules 376 include, but are not limited to, the following: -
- 1.
Auto Inference Associations 244 are automatically generated by the System when twoElements 300 in the System enter anEffort Instances 296 havingEfforts 354 on acommon Project 306 at a common Point inPhasetime 310. These associations are called an Inference 298. - 2.
Auto Inference Associations 244 are not stored in the tables in theIndustry Core Database 106; they are generated dynamically by the System based on the AutoInference Association Rules 376. - 3.
Auto Inference Associations 244 are considered unverified associations. - 4. Only the
individual Elements 300, theProject 306, and the Point inPhasetime 310 can be ascribed to those data fields in theAuto Inference Association 244. - 5. The System will utilize an auto responder technology to contact the
Elements 300 in theAuto Inference Association 244 to seek cooperation in verifying and validating the Inference 298 data. - 6. If the
Auto Inference Association 244 is confirmed by theElement 300 in theAuto Inference Association 244, theElement 300 can request that it be converted toPrimary CPEI 356 through the various Data Auditing Processes 334 which useCPEI Exhibits 124 to verify and validate the data. - 7. When
Auto Inference Associations 244 are verified through the Data Auditing Processes 334, the approved associations will be entered into theIndustry Core Database 106.
- 1.
Claims (7)
1. A live Dual Validated Independently Verified Dynamic (DVIVD) Match Audit System comprising
a first device for transmitting an element effort event data, which data details an effort of an element on an event, and a source data exhibit;
a second device for receiving said element effort event data and said source data exhibit
a computerized device for storing said element effort event data in an industry data repository database and said source data exhibit in an exhibit database, for validating and independently verifying said element effort event data utilizing a real time match audit method for collecting, examining, and tracking said element effort event data, migrating said element effort event data from said industry data repository database into a staging area upon approval of a first semi-automated audit process, assigning a dataset fulfillment audit level to said element effort event data, and reporting said element effort event data in an audited report.
2. The system as recited in claim 1 wherein said element effort event data include dimensional primary, secondary, tertiary and auto element effort event data.
3. The system as recited in claim 1 whereas said element effort event data are validated and independently verified utilizing said real time match audit method comprising the steps of
(i) receiving and examining said element effort event data,
(ii) inputting said element effort event data in said industry data repository database and said source data exhibit in said exhibit database in said computerized device,
(iii) validating and independently verifying said element effort event data has been accurately inputted into said industry data repository database, and furthermore verifying said element effort event data in said industry data repository database matches said element effort event source data exhibit in said exhibit database by said first semi-automated audit process, thereafter said effort event data are migrated from said industry data repository database into said staging area upon approval of said first semi-automated audit process,
(iv) assigning said dataset fulfillment audit level to said element effort event data by a system auditor, and
(v) a further step of migrating said element effort event data from said staging area into an industry core database in said computerized device at said dataset fulfillment audit level upon said system auditor approval.
4. The system as recited in claim 1 whereas said element effort event data are further validated and independently verified by a fully automated second audit inference reasoning process comprising
auditing said element effort event data and said element effort event data audit level reported from said industry core database against said element effort event data and said element effort event data audit level in said repository database,
reporting an audit match or an audit mismatch resulting from said second audit of said element effort event data reported from said industry core database against said element effort event data in said industry data repository database,
reporting a database location of any said audit mismatch resulting from said second audit process,
making any required corrections in said industry core database or said industry data repository database when said audit mismatch occurs,
reporting an audited Conjoined Project Effort Instance (CPEI) display of said element effort event data by a CPEI Effort Instance data generating module upon query, whether said element effort event data was inputted by an effort owner directly or whether said element effort event data was dynamically generated by the system's method automatically from said element effort event data inputted by other said elements,
displaying a Validated and Verified (VIV) icon according to system rules and auditing processes when reporting said effort instance data CPEI which delineates said effort acknowledged by an event project owner as a credited effort from said effort not acknowledged by said event project owner as said credited effort, and
transmitting said audited CPEI to a client machine for display with accompanying said VIV icon indicating said CPEI audit level and whether said effort instance data displayed is said effort or is said credited effort.
5. A live Dual Validated Independently Verified Dynamic (DVIVD) Match effort instance data Audit method, comprising the steps of
(i) tracking and displaying
a) a element effort event data,
b) a element effort event Conjoined Project Effort Instance (CPEI) dataset fulfillment,
c) a element effort data CPEI audit level,
d) a element effort event data dual audit match testing analysis, and
e) a element effort event data auditing processes,
(ii) recording and displaying said element effort event CPEI dataset fulfillment in a DVIVD Event Data Match Audit Recorder in real time,
(iii) recording and displaying in said DVIVD Event Data Match Audit Recorder an Element Indicator indicating which said element is the owner of said CPEI,
(iv) recording and displaying in said DVIVD Event Data Match Audit Recorder a “Match” light indicator or a “Mismatch” light indicator resulting from a system dual audit match testing analysis in real time,
(v) recording and displaying a Validated and Verified (VIV) icon indicating whether a reported effort is further classified as a credited effort when so acknowledged by an event project owner in said DVIVD Event Data Match Audit Recorder in real time, and
(vi) recording and displaying said element effort event data CPEI audit level assigned to said element effort event data according to system rules and auditing processes, including the system highest audit a System Audit Certified Effort in said DVIVD Event Data Match Audit Recorder in real time.
6. The live Dual Validated Independently Verified Dynamic (DVIVD) Match effort instance data Audit method recited in claim 5 , wherein in step (i) said element effort event data processes include semi-automated and fully automated audit processes.
7. A Dual Validated Independently Verified Dynamic (DVIVD) Inference Association method comprising the steps of
(i) tracking element effort event data,
(ii) matching element effort event data having identical projects
(iii) matching element effort event data having identical points in phasetime (PiPT) on said identical projects, and
(iv) reporting said element effort event data having both matching identical projects and matching identical points in phasetime as Inference Associations based on inference reasoning rules.
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US14/486,769 US20150161195A1 (en) | 2010-12-31 | 2014-09-15 | DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof |
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US201061460360P | 2010-12-31 | 2010-12-31 | |
US13/342,935 US8880460B2 (en) | 2010-12-31 | 2012-01-03 | DVIVD match audit system and 5 star event data recorder method thereof |
US14/486,769 US20150161195A1 (en) | 2010-12-31 | 2014-09-15 | DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof |
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US13/342,935 Continuation US8880460B2 (en) | 2010-09-11 | 2012-01-03 | DVIVD match audit system and 5 star event data recorder method thereof |
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US20150161195A1 true US20150161195A1 (en) | 2015-06-11 |
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US13/342,935 Expired - Fee Related US8880460B2 (en) | 2010-09-11 | 2012-01-03 | DVIVD match audit system and 5 star event data recorder method thereof |
US14/486,769 Abandoned US20150161195A1 (en) | 2010-12-31 | 2014-09-15 | DVIVD Match Audit System and 5 Star Event Data Recorder Method Thereof |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017182269A1 (en) * | 2016-04-20 | 2017-10-26 | Asml Netherlands B.V. | Method of matching records, method of scheduling maintenance and apparatus |
CN110572601A (en) * | 2019-09-29 | 2019-12-13 | 青岛希望鸟科技有限公司 | Double-recording video recording system with real-time checking function |
US11403580B2 (en) | 2018-07-09 | 2022-08-02 | International Business Machines Corporation | Advising audit ratings in a multiple-auditor environment |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10740186B2 (en) * | 2017-05-15 | 2020-08-11 | The Boeing Company | High data integrity processing system |
CN113327093A (en) * | 2021-04-28 | 2021-08-31 | 青岛鼎信通讯股份有限公司 | Material newly-increased management system applied to electric power product |
US11658881B1 (en) * | 2022-06-30 | 2023-05-23 | Bank Of America Corporation | System and method for predicting anomalous requests and preventing anomalous interactions in a network |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070008890A1 (en) * | 2005-07-11 | 2007-01-11 | Tseitlin Eugene R | Method and apparatus for non-stop multi-node system synchronization |
US20080148059A1 (en) * | 2003-07-25 | 2008-06-19 | Shapiro Michael F | Universal, Biometric, Self-Authenticating Identity Computer Having Multiple Communication Ports |
US20100241595A1 (en) * | 2000-07-06 | 2010-09-23 | David Paul Felsher | Information record infrastructure, system and method |
US7908167B1 (en) * | 2006-07-26 | 2011-03-15 | Sprint Communications Company L.P. | System and method for analysis of project variances |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060106717A1 (en) * | 2000-05-25 | 2006-05-18 | Randle William M | End to end check processing from capture to settlement with security and quality assurance |
US6826541B1 (en) * | 2000-11-01 | 2004-11-30 | Decision Innovations, Inc. | Methods, systems, and computer program products for facilitating user choices among complex alternatives using conjoint analysis |
US7519519B1 (en) * | 2002-12-20 | 2009-04-14 | Entelos, Inc. | Signature projection score |
US8566142B2 (en) * | 2008-08-14 | 2013-10-22 | Quotify Technology, Inc. | Computer implemented methods and systems of determining matches between searchers and providers |
-
2012
- 2012-01-03 US US13/342,935 patent/US8880460B2/en not_active Expired - Fee Related
-
2014
- 2014-09-15 US US14/486,769 patent/US20150161195A1/en not_active Abandoned
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100241595A1 (en) * | 2000-07-06 | 2010-09-23 | David Paul Felsher | Information record infrastructure, system and method |
US20080148059A1 (en) * | 2003-07-25 | 2008-06-19 | Shapiro Michael F | Universal, Biometric, Self-Authenticating Identity Computer Having Multiple Communication Ports |
US20070008890A1 (en) * | 2005-07-11 | 2007-01-11 | Tseitlin Eugene R | Method and apparatus for non-stop multi-node system synchronization |
US7908167B1 (en) * | 2006-07-26 | 2011-03-15 | Sprint Communications Company L.P. | System and method for analysis of project variances |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017182269A1 (en) * | 2016-04-20 | 2017-10-26 | Asml Netherlands B.V. | Method of matching records, method of scheduling maintenance and apparatus |
TWI621025B (en) * | 2016-04-20 | 2018-04-11 | 荷蘭商Asml荷蘭公司 | Method of matching records, method of scheduling maintenance and apparatus |
KR20180120260A (en) * | 2016-04-20 | 2018-11-05 | 에이에스엠엘 네델란즈 비.브이. | Record matching method, maintenance scheduling method, and apparatus |
CN109074529A (en) * | 2016-04-20 | 2018-12-21 | Asml荷兰有限公司 | Match method, the method and apparatus of scheduled maintenance of record |
KR102189686B1 (en) | 2016-04-20 | 2020-12-14 | 에이에스엠엘 네델란즈 비.브이. | Record matching method, maintenance scheduling method, and apparatus |
US11204901B2 (en) | 2016-04-20 | 2021-12-21 | Asml Netherlands B.V. | Method of matching records, method of scheduling maintenance and apparatus |
US11403580B2 (en) | 2018-07-09 | 2022-08-02 | International Business Machines Corporation | Advising audit ratings in a multiple-auditor environment |
CN110572601A (en) * | 2019-09-29 | 2019-12-13 | 青岛希望鸟科技有限公司 | Double-recording video recording system with real-time checking function |
Also Published As
Publication number | Publication date |
---|---|
US8880460B2 (en) | 2014-11-04 |
US20120173480A1 (en) | 2012-07-05 |
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