CN110188024A - The system and method for data managing capacity assessment are realized under big data environment - Google Patents
The system and method for data managing capacity assessment are realized under big data environment Download PDFInfo
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- CN110188024A CN110188024A CN201910462114.0A CN201910462114A CN110188024A CN 110188024 A CN110188024 A CN 110188024A CN 201910462114 A CN201910462114 A CN 201910462114A CN 110188024 A CN110188024 A CN 110188024A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
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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
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Abstract
The present invention relates to the systems that data managing capacity assessment is realized under a kind of big data environment, including target to establish module；Capability evaluation module；Data acquisition module, for acquiring current data managing capacity information；Analysis and assessment module obtains the index of each areas of capacity of kernel business system according to weight to each ability item weighted calculation；As a result release module, the route map that the result for generating evaluation is reported and closes up the gap, assesses data managing capacity.The invention further relates to a kind of methods for realizing data managing capacity assessment processing under big data environment.Using the system and method for realizing data managing capacity assessment under big data environment of the invention, kernel business system ability can be effectively assessed by this method and system, enterprise can be instructed to carry out the construction of data management processes and method, plan that Future Data manages route map, it is proposed data managing capacity recommendation on improvement and direction, the promotion of Promoting Enterprise data managing capacity level.
Description
Technical field
The present invention relates to computer software fields more particularly to big data data management field, in particular to a kind of big numbers
According to the system and method for realizing data managing capacity assessment under environment.
Background technique
Data managing capacity is key link during data are administered.Big data, the internet of things era, data have become country
Strategic resource, each unit are more to use for reference Capability Maturity Model for software as guidance, are attempted in different research fields each
Kind data managing capacity model, to study, instruct the data management of specific data production process, but these are theoretical basic
The status and characteristic for not accounting for enterprise development, lead to that the consciousness in terms of the data management of many enterprises at present is weak, manager
Formula is different, development falls behind relatively.Since data managing capacity model generally lacks unified, system, suitable company information ring
Border, data management closer to enterprise development standard, while still none is complete for the evaluation of data managing capacity
Whole, comprehensive system, with information-based fast development, the importance of data managing capacity is more and more obvious, there is an urgent need to
A kind of general data managing capacity assessment system is established, enterprise, unit is helped preferably to carry out the assessment of data managing capacity
And planning.
Most enterprises research emphasis is limit of power involved in data managing capacity assessment models, grade at present
The standard for dividing and assessing greatly has stored the generally acknowledged part of industry.It is woven in reference software capability maturation for some groups in the world
The data managing capacity model that its is proposed on the basis of degree model, with this come standardize, the data management of guide data production process, state
Also only according to Informatization Development situation, " data standard " " data safety " and " data application " 3 ability items are increased.
Kernel business system capacity building be it is regular, as enterprise's IT construction, different stages of development present
Different features, at present most enterprises research emphasis be limit of power involved in data managing capacity assessment models, etc.
The standard of division and the assessment of grade, has greatly stored the generally acknowledged part of industry, but its there is no well with enterprise present situation phase
In conjunction with the importance and meaning of data managing capacity assessment and Promotion Strategy being had ignored, to data managing capacity promotion sequence
The stage of being briefly described is only resided within, the guidance being lack of pertinence to kernel business system capability improving.
Summary of the invention
The purpose of the present invention is overcoming the above-mentioned prior art, provide it is a kind of meet it is high-efficient, easy to operate,
The system and method for data managing capacity assessment are realized under the more wide big data environment of the scope of application.
To achieve the goals above, system and its side of data managing capacity assessment are realized under big data environment of the invention
Method is as follows:
The system that data managing capacity assessment is realized under the big data environment, is mainly characterized by, the system includes:
Target establishes module, for proposing data managing capacity target；
Capability evaluation module establishes module with the target and is connected, for data managing capacity appraisal procedure is thin
Change performance assessment criteria, and distributes weight；
Data acquisition module is connected with the capability evaluation module, for acquiring current data managing capacity letter
Breath；
Analysis and assessment module is connected with the data acquisition module, for calculating the capability evaluation module
Ability item weights, and obtains the index of each areas of capacity of kernel business system to each ability item weighted calculation according to weight；
As a result release module is connected with the analysis and assessment module, for generate evaluation result report and
The route map to close up the gap assesses data managing capacity.
Preferably, the capability evaluation module includes:
Model revise unit, establish module with the target and be connected, for for ability grade revision provide with reference to
Foundation；
Data managing capacity assessment models unit is connected with the model revision unit, is used for data management energy
Force estimation standard is refined into every performance assessment criteria；
Model version administrative unit is connected with the data managing capacity assessment models unit, is used for normalized number
According to managerial ability, the various versions for searching data managing capacity assessment models are supported.
Preferably, the described model revision unit includes peculiar target, peculiar practice, shared target, shared practices sum number
According to managerial ability rank.
Preferably, the data managing capacity assessment models of the data managing capacity assessment models unit are divided into three-level,
Level-one is areas of capacity grade, and second level is ability item grade, and three-level is index grade.
Preferably, the index of kernel business system areas of capacity is calculated in the analysis and assessment module, specifically:
The index of kernel business system areas of capacity is calculated according to the following formula:
Wherein, I is the Capability index of areas of capacity in kernel business system capability model, and n is ability item in the areas of capacity
Number, m are the index number for constituting the ability item, PijFor the value of the jth item criterion of i-th of ability item, NijIt is i-th
J-th of index of a ability item is in weight wherein, WiFor the weight of i-th of ability item.
The method for realizing data managing capacity assessment processing under big data environment based on above system, main feature
Be, the method the following steps are included:
(1) target described in establishes the target and range of module estimation data managing capacity；
(2) the capability evaluation module described in determines assessment models and refinement assessment models；
(3) data acquisition module described in scores to the ability item index after refinement；
(4) the analysis and assessment module described in analyzes assessment result；
(5) the result release module described in issues assessment result.
Preferably, the step (2) specifically includes the following steps:
(2.1) whether meet ability grade revised standard according to the model revision unit judges, if it is, continuing
Step (2.3)；Otherwise, continue step (2.2)；
(2.2) data managing capacity evaluation criteria is refined into every performance assessment criteria by the capability evaluation module described in；
(2.3) data managing capacity assessment models are generated.
Preferably, the index of kernel business system areas of capacity is calculated in the step (1), specifically:
The index of kernel business system areas of capacity is calculated according to the following formula:
Wherein, I is the Capability index of areas of capacity in kernel business system capability model, and n is ability item in the areas of capacity
Number, m are the index number for constituting the ability item, PijFor the value of the jth item criterion of i-th of ability item, NijIt is i-th
J-th of index of a ability item is in weight wherein, WiFor the weight of i-th of ability item.
Using the system and method for realizing data managing capacity assessment under big data environment of the invention, one is provided
Kind data managing capacity appraisal procedure and system, can effectively assess kernel business system ability by this method and system,
And objectively the status of response data managerial ability, identification data managing capacity deficiency, discovery need the problem of improving.In addition also
Enterprise can be instructed to carry out the construction of data management processes and method, planning Future Data manages route map, proposes data management energy
Power recommendation on improvement and direction, the promotion of Promoting Enterprise data managing capacity level.
Detailed description of the invention
Fig. 1 is the structural schematic diagram that the system of data managing capacity assessment is realized under big data environment of the invention.
Fig. 2 is the knot that the capability evaluation module of system of data managing capacity assessment is realized under big data environment of the invention
Structure schematic diagram.
Fig. 3 is the completion data management of the method for data managing capacity assessment processing under realization big data environment of the invention
The step schematic diagram of capability assessment model.
Fig. 4 is to realize that the model of the system of data managing capacity assessment revises the knot of unit under big data environment of the invention
Structure schematic diagram.
Specific embodiment
It is further to carry out combined with specific embodiments below in order to more clearly describe technology contents of the invention
Description.
The system that data managing capacity assessment is realized under the big data environment of the invention, including:
Target establishes module, for proposing data managing capacity target；
Capability evaluation module establishes module with the target and is connected, for data managing capacity appraisal procedure is thin
Change performance assessment criteria, and distributes weight；
Data acquisition module is connected with the capability evaluation module, for acquiring current data managing capacity letter
Breath；
Analysis and assessment module is connected with the data acquisition module, for calculating the capability evaluation module
Ability item weights, and obtains the index of each areas of capacity of kernel business system to each ability item weighted calculation according to weight；
As a result release module is connected with the analysis and assessment module, for generate evaluation result report and
The route map to close up the gap assesses data managing capacity.
As the preferred embodiment of the present invention, the capability evaluation module includes:
Model revise unit, establish module with the target and be connected, for for ability grade revision provide with reference to
Foundation；
Data managing capacity assessment models unit is connected with the model revision unit, is used for data management energy
Force estimation standard is refined into every performance assessment criteria；
Model version administrative unit is connected with the data managing capacity assessment models unit, is used for normalized number
According to managerial ability, the various versions for searching data managing capacity assessment models are supported.
As the preferred embodiment of the present invention, the described model revision unit includes peculiar target, peculiar practice, shares
Target, shared practice and data managing capacity rank.
As the preferred embodiment of the present invention, the data managing capacity of the data managing capacity assessment models unit
Assessment models are divided into three-level, and level-one is areas of capacity grade, and second level is ability item grade, and three-level is index grade.
As the preferred embodiment of the present invention, kernel business system areas of capacity is calculated in the analysis and assessment module
Index, specifically:
The index of kernel business system areas of capacity is calculated according to the following formula:
Wherein, I is the Capability index of areas of capacity in kernel business system capability model, and n is ability item in the areas of capacity
Number, m are the index number for constituting the ability item, PijFor the value of the jth item criterion of i-th of ability item, NijIt is i-th
J-th of index of a ability item is in weight wherein, WiFor the weight of i-th of ability item.
The method that should realize data managing capacity assessment processing under big data environment based on above system of the invention, wherein
The following steps are included:
(1) target described in establishes the target and range of module estimation data managing capacity；
(2) the capability evaluation module described in determines assessment models and refinement assessment models；
(2.1) whether meet ability grade revised standard according to the model revision unit judges, if it is, continuing
Step (2.3)；Otherwise, continue step (2.2)；
(2.2) data managing capacity evaluation criteria is refined into every performance assessment criteria by the capability evaluation module described in；
(2.3) data managing capacity assessment models are generated；
(3) data acquisition module described in scores to the ability item index after refinement；
(4) the analysis and assessment module described in analyzes assessment result；
(5) the result release module described in issues assessment result.
As the preferred embodiment of the present invention, the index of kernel business system areas of capacity is calculated in the step (1),
Specifically:
The index of kernel business system areas of capacity is calculated according to the following formula:
Wherein, I is the Capability index of areas of capacity in kernel business system capability model, and n is ability item in the areas of capacity
Number, m are the index number for constituting the ability item, PijFor the value of the jth item criterion of i-th of ability item, NijIt is i-th
J-th of index of a ability item is in weight wherein, WiFor the weight of i-th of ability item.
In a specific embodiment of the invention, the method and system that data managing capacity is assessed under big data environment, including
(being detailed in attached drawing: Fig. 1), target establish module, data managing capacity assessment models, data acquisition module, analysis and assessment engine, knot
Fruit release module.
It is to propose data managing capacity target for business expert (business agent) that target in the present invention, which establishes module,；Number
Become the benchmark that data managing capacity is measured by enterprise according to managerial ability assessment models module, realizes data managing capacity appraisal procedure
Technology landing, by technological means, data managing capacity appraisal procedure is refined into every performance assessment criteria, and according to practical feelings
Condition, reasonable distribution weight are conducive to help the data management of business research, the specific data Life cycle of guidance；Data acquisition
Module is the ability item according to data managing capacity assessment models, carries out current data managing capacity by data management service and believes
Breath acquisition；Analysis and assessment engine is according to the difference between data managing capacity target and current data managing capacity the two ranks
It is different to be assessed and analyzed；The route map finally reported and closed up the gap by the result that result release module generates evaluation,
Complete the assessment of data managing capacity.Effectively the ability of data management can be assessed by system above, and objective
Response data managerial ability status, discovery need improve the problem of, to construct data management development path and persistently to change
Into countermeasure, adjustment and optimization data management action plan, the promotion of propulsion data managerial ability level.
The present invention relates to computer software fields, in particular to big data field, data management field, in particular to big number
According to the method and system for realizing data managing capacity self-assessment under environment.
Data source is in business and serves business, and data managing capacity assessment system is from enterprise under the invention big data environment
Industry status sets out to the actual demand of data managing capacity with future services department, proposes data management energy by business department first
Power target is analyzed in conjunction with enterprise present situation and the domestic and international data managing capacity assessment models of reference, establish operability compared with
The strong data managing capacity assessment models for being suitble to this enterprise.It is mutually tied using scientific and effective data managing capacity qualitative and quantitative
The appraisal procedure of conjunction quantifies kernel business system capability facfor, and the acquisition of combined data managerial ability information, to business, expert is mentioned
The difference of data managing capacity target and currently practical data managing capacity situation out is assessed, and final result is for instructing
The route map of difference is made in specific data managing capacity lifting process and formulation up, can be the customized reasonable promotion plan of enterprise
Slightly and suggest.
The object of the present invention is to provide data managing capacity appraisal procedure and systems under a kind of big data environment, pass through the party
Method and system can effectively assess kernel business system ability, and the objectively status of response data managerial ability, identification number
According to managerial ability deficiency, discovery needs the problem of improving.Construct data management development path and sustained improvement countermeasure, adjustment and excellent
Change data management action plan, planning Future Data manages route map, proposes data managing capacity recommendation on improvement and direction, promotes
The promotion of data managing capacity level.
In order to achieve the above purpose, data managing capacity appraisal procedure and system be such as under big data environment of the invention
Under: data managing capacity appraisal procedure under big data environment is mainly characterized by, the data managing capacity appraisal procedure packet
It includes:
Target establishes module, proposes data managing capacity target for business expert (business agent)；Data managing capacity
Assessment models module establishes module with the target and is connected, and includes data managing capacity assessment models, model revision, model
Version management module allows data managing capacity model to weigh as enterprise for allowing the data management processes of enterprise to move towards standardization
Measure the benchmark of data managing capacity；Data acquisition module is connected, according to data pipe with the data managing capacity assessment models
The ability item Breaking index down of reason capability assessment model carries out information collection by data management service；Analysis and assessment engine, and it is described
Data acquisition module be connected, for the difference between data managing capacity target and current data managerial ability carry out assessment and
Analysis；As a result the analysis and assessment engine of release module, Yu Suoshu is connected, and difference is reported and made up to the result for generating evaluation
Away from route map, complete the assessment of data managing capacity.
Data managing capacity assessment models module
The data managing capacity assessment models that are described below in detail in data managing capacity assessment models module, model are repaired
It orders, the composition and principle of model version management module.
One, data managing capacity assessment models
The data managing capacity assessment models are mainly to realize the technology landing of data managing capacity appraisal procedure, will
Data managing capacity appraisal procedure is refined into every performance assessment criteria, and according to the actual situation, the process of reasonable distribution weight, data
Managerial ability assessment models support dynamic to update, and data managing capacity assessment models are divided into three-level, and level-one is areas of capacity grade, second level
It is index grade for ability item grade, three-level, to realize the foundation of data managing capacity assessment models.
Two, data managing capacity assessment models version management module
The data managing capacity assessment models module includes data managing capacity assessment models version management module.
Data managing capacity assessment models version is the expression of a certain evaluation stage model, has uniqueness, energy in a certain evaluation stage
It enough avoids that phenomena such as version is lost or obscured occurs, according to all versions of certain regular preservation model, fast and easy is accurate
Any version for finding assessment models any stage, be avoided that appearance due to version is inconsistent caused by evaluation problem.Version
This management is actually a standardized process and the standardized process of Promoting Enterprise data managing capacity, is alternatively arranged as
The data managing capacity of different times compares, and is conducive to enterprise and finds gap between each stage, excitation enterprise preferably carries out
Data management work.
Three, model revises module
The model revises module, includes peculiar target, peculiar practice, shares target, shared practice and data management
Ability grade, wherein enterprise present situation analysis module is peculiar target, peculiar practice provides reference information and foundation, mode input mould
Block provides reference information and foundation for shared target, practice.Ability grade forms the platform gradually upgraded, wherein each
The ability of data managing capacity grade is by as the basis for reaching greater degree ability, and the process that data managing capacity is promoted is in fact
It is the process that managerial ability gradually accumulates.Mode input module is revised for ability grade referring also to information and according to (such as following figure institute
Show).
Analysis and assessment engine
The analysis and assessment engine, is assessed using comprehensive score analytic approach, to data managing capacity assessment models
In ability item weighted calculation score in each areas of capacity, a point weighting synthesis is assigned to each ability item sub-indicator according to weight, is formed
Ability item index score value weights each ability item according to weight and synthesizes, and forms the index of each areas of capacity of kernel business system.It calculates
Formula:
Wherein I represents the Capability index of areas of capacity in kernel business system capability model, and n is ability item in the areas of capacity
Number, m indicate to constitute the index number of the ability item, PijFor the value of the jth item criterion of i-th of ability item, NijIt is
J-th of index of i ability item is in weight wherein, WiFor the weight of i-th of ability item.
As a result release module
As a result release module is after the result for receiving the calculating of analysis and assessment engine, by chart abundant to the number of enterprise
Showed according to managerial ability, by analyzing the difference between data managing capacity dbjective state current and that business expert proposes
Away from, stage at the current enterprise of objective analysis, and wish future reach where, need which capability improving
The goal discrepancy of current and business expert proposition is improved away from generation is including but not limited to radar map and capability improving evolution path figure etc.
Show figure.
Illustrate the application of present invention data managing capacity appraisal procedure under big data environment with an example below.In conjunction with
Attached drawing clearly describes technical solution of the present invention, and described concrete embodiment is the embodiment of a part of the invention,
Instead of all the embodiments.Based on embodiments described herein, those skilled in the art are not making creative work
Under the premise of every other embodiment obtained, belong to the scope of protection of the invention.
Entire implementation process is divided into five steps: step 1: the target and range of the data managing capacity clearly assessed, are commented
The range estimated directly affects the selection of assessment models；Step 2: data management expert and business expert (business agent) are continuous
It links up, discussion, it is final to determine assessment models and refinement assessment models；Step 3: the ability item that data acquisition module will refine
Index scores；Step 4: analyzing assessment result；Step 5: assessment result is issued.
One, target establishes module
Target establishes module, proposes data managing capacity target for business expert (business agent).It is special by business first
Family (business agent) and data managerial expert establishment joint planning group, to each ability item of data managing capacity demand into
The detailed analysis of row, and data managing capacity target is finally established, and how these targets are realized, are to pass through promotion by enterprise
Data managing capacity embodies.
Two, data managing capacity assessment models module
Data managing capacity assessment models are made of areas of capacity, ability item, index, weight.Specific embodiment is to combine
The planning and status of enterprise IT development propose data managing capacity target according to business expert (business agent), then use for reference the country
Outer data managing capacity assessment models establish the data managing capacity assessment models of the stronger suitable enterprise development of operability.Tool
Body example model is as follows:
Three, data acquisition module
Data acquisition module is connected with institute's data managing capacity assessment models module, according to data managing capacity assessment models
Ability item quantified, form index item, then carry out current data managing capacity indication information number by data management expert
According to acquisition, data acquisition module can be by user's line, under line with flexibly customizing acquisition mode, all data informations
Mode collected in model.The data acquisition module can be realized based on huge data system to it is dirty, false,
Pseudo-, dirty data cleaning, and can get through line it is offline on, realize structuring, the unstructured acquisition of user data, be also equipped with simultaneously
The information being collected is published to the ability in other systems.
Four, analysis and assessment engine
Comprehensive score analytic approach is assessed, to the ability item weighted calculation in each areas of capacity in data managing capacity model
Score assigns a point weighting synthesis, Forming ability item grade index score value, according to weight to each to each ability item sub-indicator according to weight
The weighting synthesis of ability item, forms the index of each areas of capacity of kernel business system.Calculation formula:
Wherein I represents the Capability index of areas of capacity in kernel business system capability model, and n is ability item in the areas of capacity
Number, m indicate to constitute the index number of the ability item, PijFor the value of the jth item criterion of i-th of ability item, NijIt is
J-th of index of i ability item is in weight wherein, WiFor the weight of i-th of ability item.
| Serial number | Areas of capacity (I) | Practical capacity index (I is practical) | It is expected that Capability index (I expectation) |
| 1 | Metadata management | 0.2 | 3.06 |
| 2 | Data standard | 0.59 | 3.02 |
| 3 | The quality of data | 0.35 | 3.27 |
| 4 | Data safety | 0.46 | 2.9 |
| 5 | The culture of data model Management And Organization | 0.45 | 3.26 |
| 6 | Data service | 0.4 | 3.03 |
| 7 | Data life period | 0.55 | 2.88 |
Five, result release module
As a result release module is showed after the result for receiving the calculating of analysis and assessment engine by data visualization,
Data managing capacity is showed including but not limited to radar map, capability improving evolution path figure, by analyzing current and industry
Data managing capacity gap between target of being engaged in, the objective analysis stage present at present, and wish what will reach in future
Position needs the promotion of which ability to fill up the gap of current and business objective.
Using the system and method for realizing data managing capacity assessment under big data environment of the invention, one is provided
Kind data managing capacity appraisal procedure and system, can effectively assess kernel business system ability by this method and system,
And objectively the status of response data managerial ability, identification data managing capacity deficiency, discovery need the problem of improving.In addition also
Enterprise can be instructed to carry out the construction of data management processes and method, planning Future Data manages route map, proposes data management energy
Power recommendation on improvement and direction, the promotion of Promoting Enterprise data managing capacity level.
In this description, the present invention is described with reference to its specific embodiment.But it is clear that can still make
Various modifications and alterations are without departing from the spirit and scope of the invention.Therefore, the description and the appended drawings should be considered as illustrative
And not restrictive.
Claims (8)
1. realizing the system of data managing capacity assessment under a kind of big data environment, which is characterized in that the system includes:
Target establishes module, for proposing data managing capacity target；
Capability evaluation module establishes module with the target and is connected, for examining the refinement of data managing capacity appraisal procedure
Core index, and distribute weight；
Data acquisition module is connected with the capability evaluation module, for acquiring current data managing capacity information；
Analysis and assessment module is connected with the data acquisition module, for calculating the ability of the capability evaluation module
Item weights, and obtains the index of each areas of capacity of kernel business system to each ability item weighted calculation according to weight；
As a result release module is connected with the analysis and assessment module, and the result for generating evaluation is reported and made up
The route map of gap assesses data managing capacity.
2. realizing the system of data managing capacity assessment under big data environment according to claim 1, which is characterized in that institute
The capability evaluation module stated includes:
Model revises unit, establishes module with the target and is connected, for providing reference and foundation for ability grade revision；
Data managing capacity assessment models unit is connected, for commenting data managing capacity with the model revision unit
Estimate standard and is refined into every performance assessment criteria；
Model version administrative unit is connected with the data managing capacity assessment models unit, is used for standardized data pipe
Reason ability supports the various versions for searching data managing capacity assessment models.
3. realizing the system of data managing capacity assessment under big data environment according to claim 2, which is characterized in that institute
The model revision unit stated include peculiar target, it is peculiar practice, shared target, shared practice and data managing capacity rank.
4. realizing the system of data managing capacity assessment under big data environment according to claim 2, which is characterized in that institute
The data managing capacity assessment models for the data managing capacity assessment models unit stated are divided into three-level, and level-one is areas of capacity grade, and two
Grade is ability item grade, and three-level is index grade.
5. realizing the system of data managing capacity assessment under big data environment according to claim 1, which is characterized in that institute
The index of kernel business system areas of capacity is calculated in the analysis and assessment module stated, specifically:
The index of kernel business system areas of capacity is calculated according to the following formula:
Wherein, I is the Capability index of areas of capacity in kernel business system capability model, and n is the number of ability item in the areas of capacity,
M is the index number for constituting the ability item, PijFor the value of the jth item criterion of i-th of ability item, NijFor i-th of ability
J-th of index of item is in weight wherein, WiFor the weight of i-th of ability item.
6. a kind of method that data managing capacity assessment processing under big data environment is realized based on system described in claim 1,
It is characterized in that, the method the following steps are included:
(1) target described in establishes the target and range of module estimation data managing capacity；
(2) the capability evaluation module described in determines assessment models and refinement assessment models；
(3) data acquisition module described in scores to the ability item index after refinement；
(4) the analysis and assessment module described in analyzes assessment result；
(5) the result release module described in issues assessment result.
7. the method according to claim 6 for realizing data managing capacity assessment processing under big data environment, feature exist
In, the step (2) specifically includes the following steps:
(2.1) whether meet ability grade revised standard according to the model revision unit judges, if it is, continuing step
(2.3)；Otherwise, continue step (2.2)；
(2.2) data managing capacity evaluation criteria is refined into every performance assessment criteria by the capability evaluation module described in；
(2.3) data managing capacity assessment models are generated.
8. realizing the system of data managing capacity assessment under big data environment according to claim 1, which is characterized in that institute
The index of kernel business system areas of capacity is calculated in the step of stating (1), specifically:
The index of kernel business system areas of capacity is calculated according to the following formula:
Wherein, I is the Capability index of areas of capacity in kernel business system capability model, and n is the number of ability item in the areas of capacity,
M is the index number for constituting the ability item, PijFor the value of the jth item criterion of i-th of ability item, NijFor i-th of ability
J-th of index of item is in weight wherein, WiFor the weight of i-th of ability item.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110689280A (en) * | 2019-10-12 | 2020-01-14 | 国网河南省电力公司信息通信公司 | Data management capability self-evaluation system and method |
| CN111565121A (en) * | 2020-04-28 | 2020-08-21 | 中国联合网络通信集团有限公司 | Method and device for evaluating IT (information technology) support degree by personnel and technology |
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