Real estate enterprise city real estate BI implementation analysis

BI  _

BI (Business Intelligence) refers to the technology that converts data stored in various business information systems into useful information. It is a process of refining and reintegration based on a large amount of information. The creation of knowledge is closely integrated, completing the transformation from information to knowledge, and finally providing businesses with competitive advantages and real profits in the Internet age.

Business Intelligence System refers to the use of data warehouse, online analysis and data mining technology to process and analyze business data. It can extract useful data from data collected from different data sources and clean this data. and sorting to ensure the correctness of the data, then transform, reconstruct and store the data in the data warehouse or data mart; at the same time use suitable query, analysis tools, data mining tools, OLAP tools, etc. Management analysis tools process information, turn the information into knowledge to assist decision-making, and display the knowledge in front of decision-makers in an appropriate way for decision-makers to plan strategies.

 Basic situation of urban real estate informatization

l Mainly the various systems of Mingyuan are currently running;

l The data is transferred through the Mingyuan data interface, and the user can log in to each system to export the query data, and then process it;

l Data collection is mostly done by manual data integration, which lacks effective and unified management.

Analysis of the problems faced by urban real estate

As the company's business grows, the requirements for internal management are getting higher and higher, and a unified data decision-making platform is urgently needed for data reporting and decision-making.

u From a macro perspective, these problems are mainly divided into the following aspects:

1. How to integrate and analyze this information and maximize the value of data, there is no solution.

2. After several years of operation of the business system, a large amount of information has been accumulated. However, when managers need decision-making information, the business system cannot directly provide relevant decision-making support information, thus forming a situation: grass-roots staff think a system is very useful, but middle and senior managers think the system has no application value , do not use the system for a long time. How to tap the potential application value of data and provide effective decision support for managers is gradually put in front of managers.

3. Although the business system can provide many reports, managers still need more reports and always think that the reports provided by the business system cannot meet the requirements. After all, the market is unpredictable, and the focus of analysis at different time points must be different, which requires different reports. How to meet frequently changing reporting needs.

4. The report speed of some key business systems is slow, how to improve the report display speed

5. The basic information is imperfect, but at the same time, the imperfect point is not fully known, and there is no perfect processing method and processing mechanism to deal with it.

u From the perspective of the specific functions of the business system, it is difficult for the existing business system to effectively solve the following problems:

1. At present, all the systems of the company have only simple reporting functions, but there are no professional reporting tools.

2. Managers at all levels of the enterprise cannot and cannot control and manage the enterprise through ERP or business management software systems, and cannot obtain key business information in a timely, correct and complete manner, and conduct analysis and research on key business information to optimize and control the enterprise.

3. It is impossible to accurately understand the changes and impact of various business data, such as how the costs and profits of the entire company change when one factor changes.

4. There are many factors affecting profit or cost changes, and it is impossible to identify which are the key factors through analysis, resulting in failure to take effective measures to expand and create profits.

5. Although there is accurate inventory data, it is still difficult to determine the relationship between inventory, sales and planning.

6. A large amount of business data has been accumulated in the business system, but these data are basically in a dormant state except for query and tracking, and cannot be used effectively. It is difficult to analyze and report these data, and it is still difficult for managers to obtain the required decision-making information.

7. The existing business system is an online business processing system, not an online analysis system. They focus on process management. Business processes operate according to a fixed model, but they cannot know how to optimize them to improve efficiency.

8. It is impossible to realize the timely, effective and convenient monitoring, comparison, analysis, early warning and forecast of the company's sales and operation data, realize the monitoring of key business information, and unify and integrate the existing business system software data to provide accurate decision-making for the company's leaders. , Timely and effective data knowledge.

 

Business Intelligence Project Construction Requirements

Composition of the project implementation team

Because BI involves various departments, there are also many uncertain factors about the difficulty of report design. Therefore, it is initially proposed that the project team members are led by the heads of each department, together with members of the Information Department, to participate in the implementation of the BI project throughout the process, including Preliminary research, mid-term implementation, and post-testing work. As shown in the figure below, an organic whole is formed by the managers of various departments, the information department, and the consultants of the software company, and the construction of the BI project is completed, and the construction of the project is finally completed.

Project construction scope

In the BI implementation project, according to the requirements, the company's structural framework is divided into three layers: strategy layer, operation layer, and operation layer. During the implementation period of the project, the project progressed from the bottom to the upper layer . In the first stage, it focused on solving the reporting requirements of the operation layer and the operation layer, taking into account the strategic layer.

overall goal of construction

The construction of a business intelligence platform must be constantly consistent with the company's development strategy, and focusing on the enterprise development strategy is one of the prerequisites for the successful deployment of an enterprise business intelligence platform.

Deploying an enterprise business intelligence platform, truly giving full play to the value of enterprise business intelligence, and providing complete auxiliary decision support information for enterprises, is a complex systematic project that cannot be accomplished overnight and needs to be implemented in stages. In the long-distance construction of enterprise business intelligence, from the initial corporate strategy and target blueprint to the final realization of satisfactory results, it is a process of repeated practice and a process of sustainable optimization.

According to the above BI characteristics and the actual situation of the real estate company, a XX-specific construction and deployment plan of "one platform, two unified, three levels" is specially formulated:

A platform refers to the use of FanRuan FineReport business intelligence products to build a unified business intelligence analysis platform of XX.

The two unification is to ensure that the basic data source and the analysis report specification are unified in the whole system establishment process.

The three levels are three levels to achieve the construction goals and plan and implement the business intelligence platform of the enterprise:

The first level: mainly refers to the basic business level, collects the current reports of each business department, solves the current situation of no reporting system in each department, ends a large number of manual reports, and releases business personnel from the quagmire of report data. And on this basis, provide data that can be analyzed by business personnel.

The second level: refers to the department-level report. On the basis of the first level, it summarizes and analyzes the data of the departmental report. Through the analysis of inventory data, sales data, financial data, etc., it is provided to department managers for analysis at departmental meetings. , put forward early warning, show business growth points and other characteristics.

The third level: refers to the company-level report. After the corresponding basic report is customized, a model is formulated according to the company's operation strategy and the company's business direction, and a report that can be used for reference and decision-making by the company is provided.

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