China's real estate industry after more than more than 20 years of development, real estate industry integration has become a trend, gradually from regional development into a group of cross-regional integrated developers. However, for the ultra-conventional speed of the development of real estate enterprises, the challenges they face is also ultra-conventional. First of all, real estate enterprises in the limited capital and manpower conditions, at the same time, the national regional scope of a number of projects to make scientific decision-making, as well as reasonable resource balance, this is a very complex system engineering. In addition, the complexity of managing the development of a single region to the national cross-regional development is also increasing exponentially. This gives the enterprise in the project progress control, cash flow management and so on the more elaborate request.
In view of this situation, the enterprise informationization management urgently needs to optimize the upgrade, the new plan must not affect the existing application system operation, but also can carry on the fine centralized analysis processing to the entire company data. Business intelligence is such an excellent solution, its auto-flexible, accurate and timely characteristics can help enterprises to focus on data processing from the original integration to the data analysis.
In the past practice, we found that for real estate industry background, data production of the industry, the data processing and analysis capabilities of business intelligence software must have the important characteristics. Large data volume, complex branch structure, high scheduling frequency are great challenges. Like a domestic real estate giant to take advantage of the business intelligence software Finebi unique stability and big data processing advantages, from the following aspects to solve the problem:
1. Building a decision-making cockpit
Business Intelligence systems support a variety of database data sources, such as Oracle,sql server,db2 and so on, as well as excel,txt,xml file data sources, the system can be used to read the data source ETL conversion to adapt to the analysis needs.
Secondly, because of its excellent automatic modeling characteristics, business intelligence can avoid the deep understanding of database content, reduce the repeated communication with technical staff, and greatly reduce the time cost.
In addition, the traditional presentation of the report data is lack of flexibility and intuitive, using a variety of business intelligence charts, such as column chart, line chart, pie chart and applicable to the real estate industry maps, dashboards, ring charts, graphically display data, multi-dimensional multiple related decision analysis, auxiliary decision-making.
2. Real-time sales management
Real estate sales tend to have a variety of forms, long cycle, complex work characteristics, and its sales data often have a strong real-time nature. If you use the Business intelligence platform for all kinds of sales analysis, such as sales, money back, receivables, inventory, push, dynamic cost, DuPont analysis, funds planning and other sub-topics of the analysis, you can better from the data to observe the problems of the sales process, such as where the sale of low sales, where the rate of the property is low.
3, accurate market positioning, reasonable development
Business Intelligence system can not only analyze the enterprise internal business data, but also can be applied to the external environment, such as analysis of the population distribution in one or more areas, housing conditions, traffic conditions, land utilization, etc., these data are often in the decision-making adjustment of the guidance, help enterprises in the follow-up development of local conditions to develop programs, such as the type of grade, floor height setting, and so on, from the inside out, from outside the information interoperability.
4, innovation to explore customer needs
Property sales are complex and diverse, and real estate relies on customer demand for profitability, so it is critical for customer analysis. Using the business intelligence system we can achieve customer consumption behavior analysis, from the customer's age, region, income level, education, consumption patterns, preferences and other aspects of analysis, help marketers to identify the impact of consumer opportunities and ways to achieve different levels of customer precision marketing.
5, the real Estate industry marketing tool
Real estate industry, marketing-oriented, business intelligence system can help the enterprise marketing team sales growth and disposable income per capita regression analysis, personal purchase and group purchase real estate proportion of the fitting and analysis, real estate sales volatility regression analysis, real-time detection of changes in market development trends, in order to achieve timely adjustment of marketing strategy , optimize the sales model.
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