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The best enterprises in China and the best enterprises in the local area.
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For the development of enterprises, every boss hopes that his enterprise has clear goals, good visualization, timely feedback, and let people see progress and change, which can not only mobilize everyone's driving force, but also an important symbol of the healthy development of an enterprise. Of course, this also requires enterprises to make correct decisions and avoid detours in order to retain the vitality of enterprises and flourish.
Of course, good decision-making must be based on reason and evidence, which inevitably requires enterprises to seek truth from facts, and the data formed by customers in the system is of course the most convincing.
To ensure the continuous performance improvement of dealers and terminal stores, it is very important for dealers and manufacturers. An important basis for performance improvement is data analysis, through which the operation and management of dealers are continuously optimized. Special attention should also be paid to the analysis of daily important business data such as category data, inventory data, number of visitors, customer unit price, commodity sales rate, gross profit margin, and crossover ratio.
The main problem in the current operation of dealers is that they blindly do business and have no "number". Therefore, the operation of enterprises needs to speak with "numbers".
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If you want to develop or build a big data analysis platform based on informatization, you must first have a good informatization foundation to support, and then according to the business development of the enterprise, step by step according to the stage of IT construction, the specific content is as follows:
1.We have an application system that can support data analysis. We all know that enterprises will produce a certain amount of data in the development process, and the best of these data is the internal information system of the enterprise, which first needs to have applications that can support the analysis of the enterprise;
2.Achieve internal data governance. First, sort out the data standards and service standards of the enterprise, and complete the data cleaning.
By formulating enterprise data specifications and service specifications, each business system has a unified standard. After that, a unified data management standard for the enterprise is formulated, including the entry specification of data sources, the management mode of data approval, and the data transmission attributes between various business systems, so that the data can be based on evidence and laws, and provide accurate data sources for decision support and data warehouse for decision-making analysis;
3.Build a data analysis platform and a data warehouse. To realize the collection, storage, calculation and analysis, configuration and display of relevant effective business data, etc., at this time, it can be mainly based on internal data, assisted by a small amount of external data, so that Naidan Enterprise will define a number of important attributes of the entity as multiple dimensions for in-depth analysis, and conduct comparative analysis of different dimensions, so as to make a more complete, reasonable and accurate analysis and analysis of the current situation and future development of the enterprise.
4.Build a big data analysis platform in an all-round way. On the basis of data governance and the construction of an internal-based data analysis platform, expand the scope of data analysis, including data from various external systems, machinery and equipment, and databases, such as:
Through a series of means such as collection, storage, calculation, configuration, and display of massive internal and external data, the internal realization of financial funds, customer behavior, equipment operation, competitive enterprise intelligence, etc., and external data support such as industry, banking, national economy and people's livelihood, and social networking, etc., provide support for the formulation, supervision and implementation of corporate strategies, plans, policies, and goals.
The development of big data based on informatization must be a long-term process and should not be rushed. With the business development of the enterprise, the current informatization process is used as the support, and the business and data of the enterprise must be continuously sorted out and improved in the process of each construction, so as to lay a solid foundation for the big data platform, so that the big data construction of the enterprise can be effectively implemented and integrated with the outside world.
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1. In the initial stage, computers have just been introduced into enterprises, and the application of information technology is mainly to complete some report statistics and financial management. 2. In the popularization stage, enterprises have an understanding of computers and networks, and various software or systems that replace manual business begin to increase. 3. In the control stage, the senior management of the enterprise examines the application of ICT from the perspective of input and output optimization, begins to control the purchase of software and hardware, and makes short-term planning.
Some functional departments are networked internally, such as financial systems, personnel systems, inventory systems, distribution management systems, etc., but there is a problem of "information islands" between various software. Heads of some business units have been able to stay on top of relevant information and make decisions quickly. 4. In the integration stage, the person in charge of informatization has shifted from managing computers and networks to managing information resources, forming a qualitative leap.
From the first stage to the third stage, a lot of "information silos" were generated. At this stage, the organization begins to integrate the existing information system, so that the human, financial, material and other resource information can be integrated and shared with the decision-making of the senior management of the enterprise, but the cost of integrating various information systems and software is higher, the time is longer, and the system is also unstable. 5. In the data management stage, the enterprise not only formulated the overall information solution and implementation steps, but also selected a unified database platform, information resource management system and management information platform, so as to truly achieve a unified planning and application of the data of the entire organization, such as the implementation of ERP system.
At this time, the business flow, information flow, capital flow and logistics within the enterprise are "four flows in one", and the systems, resources and information sharing of various departments are integrated. 6. At the mature stage, enterprises truly combine information and communication technology (ICT) and information systems with the entire management process, fully integrate and utilize internal and external resources of the organization, such as the application of SCM (** chain management), CRM system (customer relationship management), BI (business intelligence), etc. to expand the extension of enterprise resources, and assist high-level decision-making with more abundant and detailed information, so as to enhance the viability, management level, competitiveness and development potential of enterprises.
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In the era of cloud computing, Internet of Things and social networking, enterprise informatization will also enter a new stage. At this stage, enterprise informatization will mainly show five characteristics:
1. People-oriented social ERP.
2. More powerful chain synergy ability.
3. Higher degree of integration and intelligence.
4. Mobile informatization, so that management is within reach.
5. On-demand information services.
It can be viewed on the company's business license.
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