Method and system for constructing enterprise-level index system

An index system and enterprise-level technology, applied in the field of big data business applications, can solve problems such as positioning, and achieve the effects of improving human efficiency, improving human resource efficiency, and efficient data support

Inactive Publication Date: 2020-12-25
浪潮卓数大数据产业发展有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical task of the present invention is to provide a method and system for building an enterprise-level index system to solve the problems of how to observe the business from a deeper level and how to quickly locate the cause when there is a problem with the business index

Method used

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  • Method and system for constructing enterprise-level index system

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Effect test

Embodiment 1

[0051] The method for constructing an enterprise-level index system of the present invention is to construct an enterprise-level index system by selecting an index representing the development state of an enterprise through a horizontal OSM model and vertically dividing data index levels, and then gradually building an enterprise-level index and a business strategy index And business execution indicators, and meet the comprehensive detection of the healthy development of the business through top-down top-level design; as attached figure 1 As shown, the method is as follows:

[0052] S1. Establish a business requirement baseline according to the status quo of the business system, and then execute step S2 in the next step;

[0053] S2, looking for potential opportunities for business improvement, the next step is to execute step S4;

[0054] S3. Evaluate business improvement opportunities through data supportability and data analysis. Evaluate the degree of dependence on data, ...

Embodiment 2

[0071] The system for constructing an enterprise-level indicator system of the present invention includes:

[0072] The horizontal index selection module is used for directional selection of data indicators through the OSM (Obejective, Strategy, Measurement) model, and selects the index that best represents the state of business development according to the current business situation; the horizontal index selection module includes,

[0073] The business goal sub-module is used for what is the goal of the user to use the product, what is the product to meet the needs of the user, and what is the core goal of the business;

[0074] Business strategy sub-module, what is the strategy used to achieve the goal;

[0075] The business measurement sub-module is used to measure the changes in data indicators brought about by the strategy.

[0076] The vertical indicator level division module is used to divide the data indicators based on the OSM model. The division of indicator levels ...

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Abstract

The invention discloses a method and a system for constructing an enterprise-level index system, belongs to the field of big data service application, and aims to solve the technical problems of how to observe business from a deeper level and how to quickly locate reasons when business indexes have problems. An enterprise-level index system is built by selecting indexes representing enterprise development states and longitudinally dividing data index levels through a transverse OSM model, and then enterprise strategic level indexes, business strategy indexes and business execution indexes arebuilt step by step. The comprehensive detection of the health development condition of the business is met through the design of the top layer from top to bottom. The invention further discloses a system for constructing the enterprise-level index system.

Description

technical field [0001] The invention relates to the field of big data business applications, in particular to a method and system for constructing an enterprise-level index system. Background technique [0002] What we need is not the data, but the insights mapped behind the data. In the process of business development, a large amount of data will be generated. The data alone is worthless. Only when it is combined with the business and transformed into information, can it be reflected after processing. value. [0003] For business data, it is usually divided into two categories: one is dimension, and the other is measurement, or index, which form the basis of our data analysis. [0004] For structured data, it can be understood as a multi-dimensional cube (cube), which contains dimensions and measures. Here we take the three-dimensional cube model as an example. The mode of operating the pivot table can be drilled, sliced, sliced, etc. To observe the cube in multiple dimen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06315G06Q10/06393
Inventor 刘方文姚民伟
Owner 浪潮卓数大数据产业发展有限公司
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