Today, as the pace of society is getting faster and faster, and the amount of information being processed is increasing, the traditional business management model can no longer adapt to the current environment. However, business adjustment and decision-making capabilities composed of experience and emotion can no longer correctly guide enterprises in the right direction, so data has become an important tool for enterprises to optimize new business adjustments and support enterprise senior management in decision-making.
Of course, we all know that although data is very important, it is just a series of numbers. Data processing and data mining are needed to value data assets and output usable information and knowledge. If enterprises want to make full use of the process of transforming data into information and knowledge, they need to use a comprehensive data indicator system to systematically view data and use data in different categories to make data play a greater role.
What are data indicators
Many people understand data indicators as labels and statistical indicators in the traditional sense, but this is actually wrong. Data indicators refer to a summary result obtained by analyzing data, which is a measurement value after refining and quantifying business units, so that business goals can be described, measured, and disassembled. The relationship between data indicators and business is very close, because it is a further abstraction of business requirements, reflecting what behaviors users have done and what changes have been brought to the business.
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Data indicators are a method of measuring goals with applicable scope, and are also suitable for the corresponding statistical concepts of business. Therefore, because of the different data required and used by different departments of the enterprise, the degree of attention to data indicators is also different. For example, the data of the sales department will focus on data such as sales volume, sales changes, and sales revenue. Applicability of data indicators.
Because business intelligence BI projects often come into contact with data indicators, it will be found that enterprises often use data indicators when conducting data analysis and designing data visualization reports. The personnel specially designed the corresponding reports, which greatly improved the efficiency of data utilization.
What is the data index system
The data indicator system refers to the systematic organization of data indicators, the use of technical means to sort out business processes from different dimensions, and the classification and layering of scattered and related indicators according to the business model.
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The data indicator system is a summary analysis of the entire system of business processes, which can fully display the overall development status of the enterprise. This data indicator system is provided to different departments and business lines through data kanban or interface forms.
Notes on data indicator system
First of all, the data indicator system is derived from the actual business process of the enterprise, so for enterprises with large differences, there is no complete template that can be taken and used. In the process of building a data indicator system, enterprises need to address their needs and proceed from actual needs to build a data indicator system that can deeply reflect business conditions and user data.
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Secondly, although the data indicator system seems to be a simple list of data indicators, in fact the data indicator system needs to be logically and systematically organized through a certain business model. This can also be reflected in the data indicator management platform. Levels, departments, business lines, etc. are all part of the data indicator system. Therefore, in the process of building the data indicator system, it is necessary to divide the key points and prioritize the construction.
On the other hand, the term data indicators may mislead some people. For example, business indicators, we may easily think that this indicator corresponds to and is closely related to the business, but it is easy to ignore this point in data indicators. In fact, data indicators also need to be close to the business and reflect the business situation. For different enterprises, the business process alone is very different, so the data indicator system needs to be developed in a targeted manner and fit with the business.
The value of the data indicator system
With the implementation of informatization and digitalization, the current business management model has been greatly challenged. If the traditional business management method is still adopted, it will not only consume a lot of manpower, time, energy and other costs, but may also be harmful to the enterprise. Business adjustment and optimization and the accuracy of decision-making have adverse effects, and subjective experience, emotion, etc. cause a crisis to the enterprise.
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The construction of the data indicator system actually presents the overall development of the enterprise in front of the senior managers to a large extent. It can also form core reports such as the management cockpit and group Kanban through data visualization. You only need to understand the core data indicators Changes in the situation can comprehensively analyze the development of the enterprise and make more accurate decisions.
The data indicator system is not exclusive to managers, and business personnel of enterprises can also obtain a lot of value through data indicators. To give a simple example, if there is no data indicator system, because business personnel do not know much about IT technology and databases, they can only communicate with technical personnel to use a small amount of data or not to use data. In this way, business conditions cannot be reviewed through data ,predict.
At this time, the data indicator system can use the indicators for business to view the corresponding data changes, optimize and adjust according to business changes, and continue to optimize in the process to bring positive impact to business development and plan the next step of business. Execution, so that the business of the enterprise develops healthily.