The arrival of big data has raised the height of data, and for the first time enterprises have the conditions to obtain and use comprehensive data at a deep level. The large-scale application of data is changing the operation and management methods of enterprises. In addition to the rapid changes in the market, enterprises are becoming more and more aware of the importance of data analysis applications.
However, the construction of a data platform and the full implementation of data analysis applications are arduous tasks. How to build, how to select, how to operate and maintain, how to persuade the leadership to integrate into management, the following is a brief introduction to the case of a state-owned enterprise.
Information construction
The informatization of the enterprise started in 1999 and gradually became the settlement, financing system and banking system. Since 2006, the HR system has been implemented, and the new computer room has been built. In recent years, data center, virtualization and integration have been carried out. In 2014, the company officially cooperated with FanRuan and gradually developed to the mobile terminal.
The above is the blueprint for the development of enterprise informatization. The unified industry platform is the inheritance, improvement and development of the decision-making management system. It is the basic platform for data exchange and information sharing in the real-line industry. The main body effectively integrates, collaborates and shares the industry informatization basic platform. The industry unified platform consists of four parts: cloud environment, transmission environment, integration environment and data environment. The enterprise has five security systems, which are composed of five parts: informatization decision-making, architecture and standards, construction and implementation, operation and maintenance and services, and network security, providing comprehensive guarantees for industry informatization construction, management and application.
Data analysis project implementation background
Before the implementation, the enterprise already had a complete set of data planning, including the bottom data remote, data exchange layer, data processing layer, and data business layer. However, in practical application, it is found that there are very big shortcomings.
1. Due to their own factors, data centers and data marts often rely on third-party operation and maintenance management or are managed by higher-level units. When changes in business models generate adjustment requirements for data centers, they are often slow, expensive, and difficult to control.
2. The frequency of changing reports by business departments is extremely high, while by changing data centers and data warehouses (adding or subtracting data), the operation complexity is high, and the process is cumbersome.
3. Data centers, warehouses, and marketplaces require a long time to process data, and decision-makers need real-time data monitoring. At the same time, combined with historical data analysis, the needs of key core business departments need to be quickly met by the information department.
Before that, the company had also thought about many ways. Even if the above problems were solved, the decision-making level was still limited and there was a lack of mobile support.
Later, in response to the above problems, we analyzed it from three levels.
1. Decision-making level :
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Comprehensive bottom: There is a lack of a comprehensive system that comprehensively reflects the business dynamics of the enterprise, the operating conditions of various business fields and units.
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Poor real-time performance: There is a serious lag through the traditional data aggregation and transmission method, and the decision-making layer cannot monitor the enterprise operation data in time.
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Poor usability: Traditional paper reports have large amounts of data and scattered data, which makes it difficult for decision-makers to accurately grasp the operating status of enterprises and markets.
2. Business layer:
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The degree of sharing is not high: cross-departmental data transmission is difficult to share, and it is impossible to exchange monopoly, marketing, and market information data in a timely and convenient manner.
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Large workload of data processing: The business department needs to deal with a large amount of tedious data aggregation and processing on a daily basis, which consumes a lot of personnel energy. And it is difficult to analyze the causes of business problems from multiple angles and at a deep level.
3. Information layer:
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Decentralized data: The data of each business system is large and scattered, and there are "data islands" between them. The scattered data cannot provide information support for command and dispatch.
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Difficulty in management and control: Each system integrator develops their own battles, and the system data caliber is inconsistent, which brings inconvenience to unified data management and control.
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Increased business demands: With the continuous changes in assessment, scheduling, and analysis of business departments, it is difficult for information departments to adapt to the rhythm of business changes through traditional business report production.
Apply effects
After using the business report system built by FanRuan report FineReport, the normalization work of the front-line employees of the enterprise is solidified. In the face of business departments, they mainly use reports, and some complex use BI to achieve. In this regard, FanRuan FineBI provides a rich display in the previous section, which can give leaders the most simple and intuitive effect.
Through application, the present point is obvious, roughly in the following aspects:
1. Realize report integration
Relying on the multi-data source integration engine of FanRuan, the database and document data of various business systems are integrated to form a unified report portal.
2. Portable data analysis platform for decision-makers
Through the dual mechanism of background data extraction and file synchronization, the data of marketing, special control and comprehensive management are integrated and integrated, and modern mobile devices such as mobile phones and tablets are used to display the economic operation status of the enterprise in real time, so as to create "carry, anytime, anywhere" for decision-makers. enterprise data decision-making platform.
3. Improve work efficiency
By solidifying business demand reports, relying on powerful data processing capabilities, all commonly used business reports are automatically generated through the system, gradually replacing the production, circulation and use of huge paper reports, reducing and simplifying the work pressure of business departments, and improving decision-making management. 's approval.
4. Integration
Relying on the good team support and good compatibility of FanRuan, the integration of the system and the portal system is realized, and single sign-on is realized.
5. Flexible data sources
FanRuan supports filing and document collection. Once the application files are involved, such as the business department provides an excel file or a report file, when you finally generate a report, you can directly read it through excel or by filling in the report, and directly combine the two system data into a complete weekly report.
6. Safety and reliability
Enterprise security needs to implement internal and external network isolation. FanRuan adopts Sangfor VPN to solve the current enterprise internal and external network isolation applications and increase the control mechanism.
Summary experience
Through this project, the following points have been learned
Controllability: Data analysis is mastered by the information center and can be flexibly adjusted according to actual needs, free from the restrictions of third-party systems and developers.
Simplicity: It does not need to be developed for mobile phone Android and Apple systems, and it does not need to manage the underlying architecture of the system platform, and report production can be completed through database query and drag and drop.
Compatibility : Compatible with collecting data from various systems, and can quickly connect to other system data, including business systems, Analysis databases, and Excel, and use them for analysis and presentation.
Ease of use: relatively complete help documents, rich online training, and forums form effective technical support.
Extensibility : Reports can be quickly consistent, and third-party plug-ins in the forum are constantly enriched, providing strong support for the improvement of the system.