After more than 20 years of development in China's real estate industry, the integration of the real estate industry has become the general trend, and it has gradually transformed from regional development to a group-based cross-regional comprehensive developer. However, for real estate companies that are developing at an extraordinary speed, the challenges they face are also extraordinary. First of all, under the condition of limited funds and manpower, at the same time, real estate enterprises should make scientific decisions on multiple projects in the country and region and balance resources reasonably. This is a very complicated system engineering. In addition, the complexity of management brought by the development of a single region to the development of a national cross-region also increases exponentially. This puts forward more refined requirements for enterprises in terms of project schedule control and cash flow management.
In response to this situation, the information management of the enterprise needs to be optimized and upgraded urgently. The new solution should not affect the operation of the existing application system, but also conduct refined and centralized analysis and processing of the data of the whole company. Business intelligence is such an excellent solution. Its automatic, flexible, accurate and timely characteristics can help enterprises shift the focus of data processing from the original data integration to data analysis.
In the past implementation cases, we found that for the real estate industry with a deep industry background and large data output, the ability to process and analyze data is an important feature that business intelligence software must have. Large data volume, complex branch structure, and high scheduling frequency are all huge challenges. For example, a domestic real estate giant used the unique stability and big data processing advantages of the business intelligence software FineBI to solve the problem from the following aspects:
1. Build a decision-making cockpit
The business intelligence system supports a variety of database data sources, such as Oracle , sql server , DB2 , etc., as well as Excel , txt , XML file data sources, and the system can perform ETL conversion for the read data sources to meet the analysis requirements.
Secondly, due to its excellent automatic modeling features, business intelligence can avoid business personnel from in-depth understanding of database content, reduce repeated communication with technical personnel, and greatly reduce time costs.
In addition, the traditional way of presenting report data in the past lacked flexibility and intuition, using various charts of business intelligence, such as column charts, line charts, pie charts, and maps, dashboards, and ring charts suitable for the real estate industry, to Graphical way to display data intuitively, multi-dimensional and multi-relational decision-making analysis, and auxiliary decision-making.
2. Real-time sales management
The sales of real estate often have the characteristics of various forms, long cycle and complicated work, and the sales data are often very real-time. If you use the business intelligence platform to conduct various sales analysis, such as sales, collection, receivables, saleable inventory, push, dynamic cost, DuPont analysis, capital planning and other subdivision topics, you can better analyze the Problems in the sales process are observed in the data, such as where the sales of real estate are low, and where the real estate collection rate is low.
3. Precise market positioning and rational development
The business intelligence system can not only analyze various business data within the enterprise, but also can be applied to the external environment of the enterprise, such as analyzing the population distribution, housing conditions, traffic conditions, land utilization, etc. of one or more regions. These data are often used in decision-making adjustments. In terms of guidance, it helps enterprises to formulate plans according to local conditions in subsequent development, such as apartment grades, floor height settings, etc., so as to achieve information exchange from the inside out and from the outside to the inside.
4. Innovation to tap customer needs
The objects of real estate sales are complex and diverse, and real estate relies on customer demand to make profits. Therefore, customer analysis is very important. Using the business intelligence system, we can analyze the customer's consumption behavior, analyze the customer's age, region, income level, education, consumption style, preferences, etc. Precision marketing for users at different levels.
5. Marketing tool in the real estate industry
In the real estate industry, marketing is the most important thing. The business intelligence system can help the market sales team of the enterprise to carry out the regression analysis of sales growth and per capita disposable income, the fitting and analysis of the proportion of individual purchases and group purchases of real estate, and the regression analysis of real estate sales volatility. Real-time discovery of changes in market trends, so as to adjust marketing strategies in a timely manner and optimize sales models.
