In recent years, China's real estate industry has developed rapidly, and industry consolidation has become the general trend. However, for real estate companies that are developing at an extraordinary speed, the challenges they face are also extraordinary. Under the condition of limited funds and manpower, at the same time, enterprises should make scientific decisions on multiple projects in the country and region, and reasonably balance resources. This is a very complex systematic project. Faced with such problems, enterprises urgently need a transformative BI solution to perform refined and centralized analysis and processing of company-wide data.
BI solutions have the characteristics of automatic, flexible, accurate and timely, which can help enterprises to 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. A domestic real estate giant took advantage of the unique stability and big data processing advantages of FanRuan's business intelligence FineBI, and carried out data processing work from the following aspects:
Building the Decision 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 needs.
Secondly, the feature of BI automatic modeling can prevent 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, data can be visually displayed in a graphical way, multi-dimensional and multi-relational decision-making analysis, and auxiliary decision-making.
Apply BI solutions to precise market positioning and rational development
The BI 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. It is instructive and helps enterprises to formulate plans according to local conditions in subsequent development, such as apartment type grades, floor height settings, etc., so as to achieve information exchange from the inside out and from the outside to the inside.
Scientific sales management
Real estate sales come in various forms, the marketing cycle is long, and the sales data is highly real-time. The application of BI solutions can help the sales department to conduct various sales analysis, such as the analysis of sales, payment collection, receivables, saleable inventory, push disk, dynamic cost, DuPont analysis, capital planning and other topics, so as to better analyze the data from the data. Observing problems in the sales process.
Discover new customer needs
Real estate sales are aimed at diverse customers, and real estate relies on customer demand to make profits. Therefore, customer analysis is very important. Through a complete set of BI solutions, we can analyze customer consumption behavior, and help marketers identify opportunities and ways to influence consumers from the aspects of customer age, region, income level, education, consumption patterns, preferences, etc. , to achieve precise marketing to users at different levels.
Help real estate industry marketing
In the real estate industry, marketing is the most important, how to make effective marketing decisions and how BI solutions fit with the marketing business. The general enterprise market sales team can conduct regression analysis of sales growth and per capita disposable income, fitting and analysis of the proportion of individual purchases and group purchases of real estate, regression analysis of real estate sales volatility, etc., and comprehensively understand the market from multiple dimensions. Changes, adjust marketing strategies in a timely manner, and optimize sales models.