KR20080112141A - Construction project performance management method and system using bsc and the data warehouse - Google Patents

Abstract

A method for managing the performance of a construction project based on data warehouse utilizing a BSC and a system thereof are provided to manage the attainment of project's goal on the basis of one project and be utilized when comparing the performances between projects by managing the performances of projects through data measured within the projects. A method for managing the performance of a construction project manages the business process directly utilized in the construction project and various outcome data existing in a management system. The performance management method comprises the following steps of: defining the viewpoints of management by applying the BSC concept to the construction project, and deducing the goals of each management viewpoint and success factors to establish performance measurement indicators of each viewpoint; data-modeling the performance data according to the performance measurement indicators to loading the modeled data in a data warehouse; multi-dimensionally analyzing the modeled result stored in the data warehouse by utilizing the OLAP; and providing the analyzed result in a confirmable form.

Description

Construction project performance management method and system using data warehouse based on MSC and construction system

The present invention relates to a construction project performance management method and system based on a data warehouse using BSC, and more particularly, to measure the balanced performance of a construction project using BSC and to analyze it. It relates to a performance management method and system that improves usability and applicability so that it can be stored in a data warehouse to analyze the performance of a project in a multi-dimensional manner and users can manage the performance according to various conditions in the project. .

Firms pursue multiple multi-dimensional goals, including profitability goals for profit, growth goals for development, and resilience goals for balance / importance. Accordingly, many companies are trying to maximize organizational effectiveness in a changing corporate environment by matching the goals of the members to the corporate goals. As a solution to these challenges, companies have introduced performance management and are making great efforts to achieve organizational and corporate goals and to strengthen their competitiveness. This effort has been carried out from the traditional method of financial performance management to the Balanced Scorecard (BSC) proposed by Kaplan & Norton (1992).

BSC performance management is one of the most recent and widely used by many companies. The concept consists of items of strategic objectives, performance indicators, target values, initiatives and measures, depending on the financial, customer, internal process, and learning / growth perspectives, so that both financial and non-financial performance can be considered at the same time. This aims to overcome the deficiencies of relying solely on financial performance, to provide a balanced assessment in line with strategies and policies, and to present appropriate criteria for judgment.

On the other hand, unlike the manufacturing industry or other industries, the construction industry is complicated because it manages various projects and involves multiple project execution agents at the same time. Therefore, many construction companies use performance management methods that focus on financial profit and loss. The reality is that it depends on. However, in the construction industry, there is a need for performance management considering various factors for balanced evaluation and judgment. Therefore, BSC performance management has been introduced and applied to large companies.

Figure 1 shows the performance management process of the construction industry currently performed, as shown, the performance management of the construction industry is measuring the performance using the BSC, but it is insufficient to analyze and use the measured performance in the project.

Specifically, from an analysis point of view, it is necessary to periodically measure performance to accumulate data in one place, and to make it possible for the person in the project to find and improve the improvement directly. It is also important to detect seasonality, outliers, and changes and predict the future. Currently, the project's performance is managed in separate files, which makes it difficult to collect and analyze the results. It is difficult to find from the data.

In the case of utilization, it is more important to manage the mid- and long-term performance at the corporate level, while at the project level, it is more effective to utilize the results of weekly and monthly performance analysis. Most of them are used for ranking evaluations, and they do not consider performance comparisons of related projects or relevant performance results. Therefore, it is insufficient to check a project's situation and provide appropriate information according to the hierarchy of managers to help decision making. .

Accordingly, the present inventors have systematically defined the definition of the performance management process for the active utilization of performance management of construction companies, and also developed an efficient performance management process that can perform performance measurement as well as performance analysis or performance utilization.

The present invention has been made to improve the above-mentioned conventional problems, and is a model that reinforces analysis and usability according to a performance management process, and includes a data warehouse and result data that can integrate data provided from multiple systems in one place. We provide multi-dimensional analysis in which end-users directly access multi-dimensional information and analyze the information interactively. Furthermore, by providing such performance management in the project blog, we provide construction project performance management methods and systems that enhance the usability and applicability of project members. Its purpose is to.

In order to solve the above technical problem, the present invention is a method for managing various performance data existing in a business process and management system which is directly utilized in a construction project, and defines a management perspective by applying a BSC concept to a construction project. A measurement step of setting performance measurement indicators for each management perspective by deriving performance targets and success factors for each management perspective; A storage step (Collect) of loading performance data into a data warehouse (DW) by modeling data according to the performance measurement indicators; An analysis step of performing a multi-dimensional analysis of the data modeling results stored in the data warehouse using OLAP; It provides a construction project performance management method comprising a; reporting step (Report) for providing a multi-dimensional analysis results through the analysis step in a form that can be confirmed.

In addition, the present invention is a construction project-based performance analysis system consisting of a server system; and a user system for requesting data provided to the server system via the Internet or a local network, the server system is directly utilized in construction projects A source providing server for storing various performance data existing in a business processing and management system in place; A data warehouse server that receives the performance data stored in the source providing server, reconstructs a database structure according to an analysis purpose, stores the data in a data warehouse, and performs the analysis through OLAP (On Line Analytical Processing); It provides a construction project performance management system comprising a; performance analysis result storage server for generating and storing a page in the form of a report for the performance analysis results obtained through the data warehouse server.

According to the present invention as described above, the effect from the user perspective and the system perspective is expected as follows.

(1) User perspective

First, the achievement of the project can be identified at a glance by scoring the performance of the project. Since these performance scores are analyzed along with various dimensions, the results of analysis from various angles can be obtained. In addition, the members of the project can obtain multiple analysis results with the performance data measured through multi-dimensional analysis, and get more rational and reasonable analysis. Furthermore, comparative analysis through similar cases can provide guidelines for the project currently underway.

Second, the existing performance management used the results of the measured results in the project as a tool to evaluate the overall performance between projects at the enterprise level. This made it difficult for the members to understand what the project aims to achieve in the medium and long term. Therefore, the model suggested in this study can be used to improve the understanding of project performance, and to analyze and manage the project performance to increase the efficiency of project achievement.

(2) System viewpoint

First, since project performance is managed through measured data within the project, it is used not only to manage the achievement of performance based on a project but also to compare the performance between projects. In addition, performance at the enterprise level is ultimately determined and managed by modifying or using some of the indicators at the project level and adding other metrics that are addressed at the enterprise level. It serves as the underlying data that can be used to manage performance.

Second, in the past, each project consisted of collecting and collecting data on the current status of performance. As a result, importing data to analyze performance was cumbersome and the analysis was limited and the performance was reported on demand rather than managing performance. In order to solve this problem, we introduced the project blog, which is a systematic system, so that data can be stored in one place for free analysis and management, and it can alleviate the negative view of the existing system that was passive in analyzing and utilizing performance. Can be.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings and preferred embodiments.

I. Performance Management Method

2 is a view showing a process of the construction project performance management method according to the present invention. First, set the goals of the project and derive the indicators accordingly. Performance measures are then measured either through actual measurements or from data stored in the business processing system. When the measurement phase is complete, all relevant data is stored in one place. At this time, since each data has various formats, standardization work is performed on them. Next, the analysis is performed with the stored data. Multi-dimensional analysis is performed considering various situation information elements that can explain the measured data. The analyzed results are provided in the form of reports using charts and graphs, and can be reported and reviewed on the website using the web. Finally, the results obtained through performance reporting can be used as relevant knowledge and used to compare performance reports. This series of steps is described in detail as follows.

1. Measure

The measurement stage is based on the concept of Balanced Score Card (BSC), which defines the necessary perspectives for performance management, sets performance goals accordingly, derives success factors and calculates performance measurement indicators. This is the step. In the present invention, as shown in Fig. 3, after determining the objectives and success factors for each perspective, a strategy map that derives causal relations with each other is created, and performance indicators are divided according to success factors. Of course, when defining a perspective, a new perspective can be added or subtracted from the perspective based on a given perspective, and in setting a goal, there is a difference in the importance of the target with other perspectives. need.

In the strategy map of FIG. 3, the learning and growth perspective is placed at the bottom of the map, the financial perspective is placed at the top, and the causality is transmitted from the bottom to the top, finally leading to continuous improvement of business value. For these causal relationships, firstly, improving employee skills can help improve productivity and provide the best value to customers through productivity gains, which in turn increase the cost competitiveness of financial perspectives. In addition, quality control, safety management and environmental evaluation, which are the success factors of productivity improvement, play a role of raising internal customer satisfaction level. Secondly, customer satisfaction affects stable sales and contributes to the success of the financial perspective with several success factors.

As a result, it is important to determine the performance measurement indicators by analyzing and utilizing the performance of the project through the performance measurement indicators determined at the measurement stage, and success factors for each perspective are important criteria for project members to achieve the project goals.

2. Collect

In order to increase the utilization of the project performance management system in the field, it should be possible to satisfy the data required from the top manager to the lowest manager in the field through various analysis levels. Therefore, a DB should be designed to consider various influencing factors of project performance and to freely change the analysis level. In the present invention, the data warehouse was used to solve this problem. Through the data modeling, the relationship between the project performance and the related dimensions was determined. The storage step is to load the performance data into the Data Warehouse (DW), and the data stored in the DW is the data obtained by converting the data of the measurement index and the data stored in the existing business processing system through the extraction and purification process. have.

(1) table structure and definition

To design a data warehouse, you basically need a definition of a table. It has the same form as a database, but because of its purpose-oriented nature, its purpose is defined in the fact table, and the contextual information to explain this fact is defined in the dimension table. The data is then moved and stored. First, the fact table is composed of measurement index values and scores for each perspective, and the measurement index values can be obtained through direct measurement or from an existing management system. The DBs on the left side of the figure are created by the existing management system and take the data as needed to form the fact table of the data warehouse along with the data of the measurement index DB at the bottom. The dimension table is constructed by considering various influencing factors to improve the usability of performance management. Project information can be obtained from the website created for each project, and date dimension information can be generated when designing the data warehouse. Material information is linked to the material management system, and information from managers and suppliers can be derived from the existing operating system for managing employees. Information about the process is conveyed in the form of activity codes from a database of process controls. The data warehouse is composed of data marts according to each perspective, and the performance scores of each perspective are connected to the relevant dimensions, analyzed and stored in the report DB.

(2) data modeling and star schema

Based on the contents defined for the fact table and the dimension table, data modeling was performed to determine the items constituting the table and to establish relationships between the tables as shown in FIG. 4. Star schema is used as a design technique for representing multidimensional data, which effectively stores and retrieves multidimensional data. Star Schema has a star-shaped schema in which several dimension tables extend around the fact table by connecting each table with an index key and a foreign key. In the case of setting measurement performance indicators according to the strategy map of FIG. 3, the schema of FIG. 5 is represented as shown in FIG. 5. As shown, the schema of FIG. 5 is composed of five fact tables and seven dimensional tables. Is a table representing performance scores and is linked to four performance indicator tables containing basic data for deriving performance scores. The dimension table for describing the measures is then linked to the performance score table.

3. Analyze

The analysis phase uses multi-dimensional analysis using OLAP (On-Line Analytical Processing) with the performance and related data stored in the data warehouse. Most of the dimensions that make up a multidimensional model have a hierarchical structure, and it is possible to determine the level of the dimension required by the user and analyze the data corresponding to the level. To do this, you classify the hierarchy of dimensions, set the levels, and create cubes. The cube is determined according to the purpose and situation of the analysis, and the analysis is performed in the form desired by the user by slicing & dicing.

(1) OLAP

OLAP is the process by which end users directly access multidimensional information, interactively analyze it, and use it in decision making (Jo, 1996). Iteratively repeats the process by which users analyze information and derive another result from answering one question. Enable action This can address their needs and increase the usability of performance management. For example, 'Project A, how is the performance compared to the sales plan for this month's frame construction work?' If the answer to the question is not achieved compared to the sales plan, how is the performance compared to the sales plan for each detailed process of the framework this month? Or you can ask the question, What are the scores from the same month's customers, internal processes, learning and growth perspectives? These ongoing questions can help you find a solution to your first problem or a reason why you didn't think about it.

(2) structure and level of multidimensional model

Most of the dimensions that make up a multidimensional model generally have a hierarchical structure and can therefore level the analysis. In this hierarchical structure, there is a 'Parent-Child' relationship between items. Parent is the immediate parent of any item in the hierarchy and Child is the child of the child. FIG. 6 (a) shows the hierarchical structure of the data dimension. The child of the first quarter is January, February, and March, and the parent is the first half. 6 (b) shows a part of the hierarchical structure and level related to the Work Process dimension, and defines each level by dividing it into four stages in classifying the construction of each building.

(3) generation of cubes

A multidimensional model is represented in the form of a cube consisting of axes and coordinates, with axes as their dimensions and coordinates as the items of the dimensions. In order to effectively analyze the project's performance, it is necessary to connect only the relevant dimensions to the measures in each view, to exclude unnecessary connections. Through this process, an analysis considering the influencing factors according to the measurement indicators is carried out. In FIG. 7, the cubes of the learning and growth scores are connected to the dimensions of Project, Date, Manager, and Subcontractor to describe the corresponding performance indicators and provide scores. Similarly, the remaining cubes are constructed in the same way.

4. Report Step

The reporting step is a step of generating a page of a form that can be reported by using a table and a figure obtained from the analysis step. It can generate a page of a desired form without any programming. In this step, the user analyzes the information through interaction with the system and outputs it in the form of a screen or a report. In multidimensional analysis, xml format data extracted only brief information is stored in database of search system to be used in the next step. On the other hand, in the case of construction projects, since many actors participate in each project at the same time, there is a large amount of information and many people use it. On the other hand, they want to obtain data that meet their needs and needs from different perspectives. There is a need for a reporting system that can provide a variety of forms, from detailed problem resolution to manager-level summaries. In addition, the form of reporting needs to change in the face of the transition of most of the company's industry affairs to the web. The present invention provides a web reporting showing the results of the OLAP analysis on the web through the embodiment, which allows several people to share the analysis data in real time together and can be viewed and output regardless of the place.

(1) Web Reporting

In web reporting, as shown in FIG. 8, data obtained through data warehouses and cubes is provided to the managers and business partners in the field. They create a performance forecast screen based on the current performance flow and a temporary report based on the current performance flow through the overall performance management status, achievement level of each indicator screen, causal relationship and strategy map screen between targets set based on BSC, and time series analysis. Or a screen for outputting OLAP analysis results.

(2) Search function

In order to obtain the necessary result screen from the actual multi-dimensional analysis screen, the process of rolling up and drilling down is performed several times (Kimball, 1996). And to create a web report, you select only the parts of the analysis you need. However, getting results through this process every time is not only time-consuming but also hassle-free operation. In order to solve these disadvantages, a search function as shown in FIG. 9 (a) is required, and when a desired content is inputted, a process of extracting necessary data from a OLAP analysis database is performed. In order to see the measurement of performance and the performance score for each point of view, several dimensions are related. Therefore, each dimension is classified to perform keyword-based search and obtain an output screen as shown in FIG. 9 (b).

5. Use

The utilization stage is the stage of solving problems or making decisions with the results obtained through analysis. In the present invention, in order to increase the usability and applicability of the existing performance management system, the related knowledge is provided to the user through the similarity search, and the performance management result is extended to the knowledge, so that it is possible to compare and analyze the project by project through the project blog. In terms of its utility, it is possible to provide more information similar to the user's query result based on the search system using xml in the form of advertisement, and to use the support tool that saves the search results and provides a comparable screen. And ensures a role in helping to make rational decisions.

(1) similarity search

In the utilization phase, the results are used to aid decision making. One of the methods is related to similarity search, and there is a close relationship between the reporting stage and the utilization stage in the process of using it. First, the data of the report generated by the user's search in the reporting stage is saved and used as the basis for the data that can search similar data in the utilization stage. And each data appearing in the similar search list in the usage stage shows the data in the same way as the user searches in the reporting stage. In the present invention, Rel-Knowledge is presented as one of the methods for enabling similarity search. The knowledge (result) displayed on the screen is selected and prioritized according to an algorithm centered on similar keyword analysis. Rel-Knowledge is defined as the relevant knowledge provided to users through similarity search when the results of performance analysis are output on the screen by using the search function. Similarity search results come in two forms. According to the ranking of the dimension determined by the user, only the items of the dimension are changed and the result is displayed, and the list of the results is made in the order of the number of retrieval among the contents stored through the search. The similarity search algorithm first determines the number of dimensions used in the search and prioritizes the order in which the dimensions are determined, assuming that the user selects the required dimension and performs the search. This priority is used to add the result obtained by changing the dimension item to the similar item to the list, and the output result is ordered accordingly. In addition, another similar search list is displayed in the order of the highest number of search by searching the combination of the dimension set by the user among the previous results. This will help you see what you haven't thought of and get relevant data.

(2) knowledge extension

The second way to harness the results of a project is through a project blog as a concept of expanding knowledge. The results obtained through the performance management model have a common knowledge form of knowledge management that can be shared with project team members within the project blog. This allows project team members to share problems and solutions on project performance and to use them as best practice information after the project is completed. Blog-type knowledge management keeps knowledge centered on individuals and enables knowledge exchange between blogs through the community function of blogs. There was an opinion that blogs should be used in knowledge management in the construction industry (Mills, 2006), and Ahn (2007) is a project-based project, so it is appropriate to create a blog of the project and manage the knowledge by linking it with a personal blog. It was said. The project blog contains all the knowledge that is generated as the project progresses, and manages and communicates information such as the project's timeline and progress, methods and examples of each process, and the project's monthly performance. Furthermore, by storing and communicating communication among project team members around knowledge during project execution, more rich and vivid knowledge can be delivered to users who later refer to the project or reuse some of the knowledge generated in the project (Ahn, 2007). Results on project performance are entered and stored in the blog in the form of reports. The stored knowledge is stored in addition to the existing knowledge by using the characteristics of the project blog, including the contents of the questions and answers among team members or related explanations within the blog. In this way, knowledge is extended and categorized according to the manager's level to help the manager support the necessary decisions. 10 to 12 show the interface of the performance management system to be utilized in the project blog.

II. Performance Management System

13 to 19 are diagrams showing the construction project performance management system according to the present invention. The construction project performance management system according to the present invention constitutes a framework based on the details of each step of the performance management method described above. The performance management system according to the present invention comprises a server system and a user system that receives and provides data to the server system through the Internet or a local network, wherein the server system is a source system server and a data warehouse server. (Data Warehouse), an analysis result providing server (Application) may be included, but a login server may be additionally included.

The source system in the server system is a server that provides performance data existing in the business processing and management system that is directly used in construction projects. The source system that provides data stored in the data warehouse is divided into work system and measurement system. Work systems include PMIS associated with construction project management, as well as operating systems such as ERP, sales systems, technical support systems, and R & D systems. The measurement system includes items of strategic objectives, performance indicators, target values and initiatives that reflect corporate or organizational objectives. The source system stores the measurements made in the measurement phase and determines and prepares the data needed to construct the fact table and dimension tables in the collection phase. This plays a large role in creating the cube later in the analysis.

In the source system, strategic objectives and performance indicators are determined in the measurement system, and target values and action plans are determined accordingly. Measurements are made accordingly and the measurements are stored in a database. In the case of measured values, the data stored in the work system may correspond. The business system then selects the data associated with the measurements. In the simulation, the contents of each point of view were determined according to the concept of BSC, using literature research and expert advice. In terms of financial performance, we set sales performance to maximize profitability and manage the number of days spent in other small-area days. In terms of customer satisfaction, we set the number of complaint resolutions and the number of volunteer activities around the project site as the goal of improving the image, and the one-to-one internet service response rate for the customer as the performance indicator. In terms of internal process, performance indicators were selected as performance indicators for the achievement of the process and the level of disaster rate, the number of on-site inspections, and the quality for safety, environment, and quality control. Lastly, in terms of learning and growth, performance indicators were defined as the level of manpower retention, knowledge sharing, and education and training ratio. For the target value and the measured value, the intended value was entered instead of the actual data to obtain the predictable analysis result.

The data warehouse server restructures the database structure for the purpose of analyzing the performance data provided from the source providing server for analysis such as sales achievement, customer satisfaction, process achievement, and knowledge sharing, and stores it in the data warehouse. The server performs analysis through OLAPOLAP (On Line Analytical Processing). If management is about what to measure, then how to analyze and use the measured data is equally important. In data warehouses, the framework is the largest part of the framework and serves as the cornerstone of the system as a whole. This DW enables multidimensional analysis of performance as each step of the process proceeds sequentially. Looking at this, the data selected from the source system is stored in the DW, and for this purpose, the ETL process is performed. The data refined through this process is finally stored in the DW constructed through the data schema. (The data stored in the DW is used only for analysis.) With this, you create a cube and use a tool called OLAP to organize the matrix into a relationship between dimensions.

To store data in a data warehouse, the framework of the data warehouse must be configured. First we define the fact table and the dimension table as shown in Figure x. In addition, you will create a data schema that sets the relationship between each table. In Figure X, you can see that several dimension tables are connected around the fact table, and the actual database is created based on this. After this configuration is completed, the data is pulled from the work system. The data selected in the work system is information about the project overview, work process, activity, material, manager, and subcontractor. In order to save this in DW, ETL process is performed.The data stored in the work system is imported into Excel to convert the data that does not conform to the format, or to modify the data expressed in other terms with the same term in one term. Can be stored. In the simulation, the data were stored using the above ETL method in the actual database. However, there is a limit to directly importing and modifying data in Excel every time, so that data can be stored and updated automatically by connecting the source system DB to the data warehouse DB and reading the data in the DB directly. It is necessary to consider how. The hierarchy and levels of the dimensions are broken down to allow for the analysis required by the user with the stored data. Figure x shows an example of the hierarchy and levels of the date dimension. And for actual data analysis, Cube was created by referring to the data schema. However, not all dimensions are meaningful in relation to the facts of the fact table (measures of financial, customer, internal processes, learning and growth perspectives), so the Hyper Cube method was used rather than the Multi Cube method. The Hyper Cube approach can be linked to only the dimensions associated with each fact so that multiple Cubes can be created, as in Figure x instead of one. Next, the analysis is carried out using the OLAP Tool. Figure x shows the results of analyzing the performance of financial perspectives on the achievement of sales by date and process, and these results are used for the application.

The performance analysis result storage server (Application) uses the information generated by generating pages in the form of a report on the performance analysis results obtained through the data warehouse server and uses the xml (Extensible Markup Language) to be used for similar search. It is a server that manages the stored information through the bookmark function, which transfers the summarized information and the analysis results that the user needs to the web space. After analyzing the performance, the following applications are presented on the framework to answer the question of how to use it to end users, including management. In the performance management process, this includes the reporting and utilization stages, and the screen composition or utilization in the analysis stage is limited in the access of the user, and the analysis results are presented using various methods. Through this process, users can experience both the form of reports used in the past and the present, the form of screen monitoring that can be checked on personal computers, and the form of web pages that can be viewed on the Internet due to the rapid development of the web. . However, in order to use performance management more proactively, we chose a method that transforms the results of performance analysis into a form of knowledge using IT technology. This is used to generate a summary page using xml and save it in a new database for searching and to provide similar contents in the form of advertisement when the user finds the result of analysis through search.

There are several screen configurations to make the results of analysis of performance accessible to end users. In the simulation, analysis was mainly conducted on the financial and customer perspectives of the project. Figure x shows the existing report form, Figure x shows the monitoring screen, and Figure x shows the web page in the web environment. In addition to providing the analysis results in this form, data in xml format is generated and stored in a database for the search system. The data in xml format includes the basics of the project and the contents including the query title, and has the form and contents as shown in Figure x. Next, the search system makes it easier and more accurate to find the results of your performance analysis. Through such application, the utilization of performance management can be increased and active performance management can be expected.

The login server is a server provided for the management of the system user. The login server stores information input by the user and controls the resource of the server system according to the input information.

The user system can be configured using a PC or a server, and has a communication means for accessing the server system through the Internet or a local network, and a web browser for showing the results of the performance analysis provided from the server system to the user. Is provided. This provides several modules on the screen, including performance analysis applications. The user can access the performance analysis application module after accessing the server system through the user system and verifying the user information through the login server. The contents shown in the performance analysis application module are provided from the data warehouse server, and the screen is composed of a main screen and a sub screen and is displayed in the form of a report or page. Next, a search module is provided to increase the utilization of the performance analysis application. The search module is basically provided with a series of search keywords in the form of a combo box. Through this, the search engine is activated to match the keywords to obtain the requested result. At the same time, the similar search keyword performs additional search on xml summary information in the performance analysis result storage server and provides the corresponding information to the Ad-knowledge module. The Ad-knowledge module provides the analysis result information summarized according to the keyword priority on the screen. The user can view the similar analysis result information through the sub-screen of the performance analysis application module and save it in a user-specific web space through the bookmark function. The information is sent back to the performance analysis result storage server.

20 is an example of the UI (User Interface) as a result of simulating the construction project performance analysis system according to the present invention, the structure of the A project, the first quarter of 2006, the financial score (project, work process, date, Score) Displays the results on the screen using a combo box type search. A similar search shows various contents such as brick construction of project A, financial score in 1Q 2006, frame construction of project A, 1Q 2007, and financial score. You can optionally verify this and re-analyze comparable data to help support decision making. And you can bookmark the search contents as you need, and you can see the analysis data of several cases on the same screen for easy comparative analysis.

1 shows a process of the conventional construction project performance management method.

2 to 12 is a configuration diagram and an explanatory diagram of a performance management method according to the present invention.

13 to 19 are diagrams illustrating the configuration of a performance management system according to the present invention.

20 shows an example of a user interface (UI) as a result of simulating a performance analysis system according to the present invention.

Claims (5)

As a method for managing various performance data existing in the business process and management system that is directly used in construction projects, A measurement step of defining management perspectives by applying the BSC concept to construction projects, establishing performance measurement indicators for management perspectives by deriving performance goals and success factors for each management perspective; A storage step (Collect) of loading performance data into a data warehouse (DW) by modeling data according to the performance measurement indicators; An analysis step of performing a multi-dimensional analysis of the data modeling results stored in the data warehouse using OLAP; A reporting step (Report) for providing a multi-dimensional analysis result through the analysis step in a form that can be confirmed; Construction project performance management method characterized in that it comprises a. In claim 1, After the reporting step, A use step of providing content similar to a search result queried by a user; Construction project performance management method, characterized in that further comprises a. In claim 2, The storing step may be divided into a fact table defining the performance data and the performance measurement index set in the measuring step; and a dimension table defining the facts of the fact table as situation information; Is done while constructing the schema, The analyzing step is performed by classifying the dimension defined in the dimension table into a hierarchical structure and setting a level, then generating a cube, The reporting step is a construction project performance management method, characterized in that the extraction is made while the user requests only for the multi-dimensional analysis results. A construction project-based performance analysis system comprising a server system; and a user system that requests and provides data to the server system through the Internet or a local network. The server system, A source providing server for storing various performance data existing in a business processing and management system which is directly used in a construction project; A data warehouse server that receives the performance data stored in the source providing server, reconfigures the database structure according to an analysis purpose, stores the data in a data warehouse, and performs the analysis through OLAP (On Line Analytical Processing); A performance analysis result storage server for generating and storing a page in a report form with respect to the performance analysis result obtained through the data warehouse server; Construction project performance management system, characterized in that comprises a. In claim 4, The server system is a construction project performance management system, characterized in that it further comprises; login server for storing the information input by the user and controls to limit the resources of the server system according to the input information.

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