Business area-Beijing Datafang Technology Co., Ltd

Commercial district is a commercial agglomeration area built according to the concentration degree of commercial complexes such as shopping centers, independent department stores, as well as the distribution of commercial outlets of various formats such as catering and retail. Community type business circle is the geographical boundary formed by referring to the data such as the boundary of the community, the resident population, and the commercial project, and taking the road as the barrier

Scope of use

Chinese Mainland

Update frequency

Annual

Latest aging

Current year

Data type

Business District Classification Map

Data format

Excel、table、shp、geojson、 Database format, etc

API

support

Application Scenarios

Business location

Business area data can help enterprises to conduct business location and regional analysis. By analyzing demographic statistics, consumption habits, competitor distribution and other data within the business district, enterprises can determine the best store location and business strategy.

Market analysis and consumer insight

Business circle data can be used for market analysis and consumer insight. By analyzing consumers' shopping habits, preferences and behavior patterns, companies can better understand the target market and formulate marketing strategies accordingly. Data from IIMedia Research shows that Chinese residents usually choose commercial complexes in business districts, and the "one-stop" consumption model is highly favored.

Urban planning

Business district data is of great significance to urban planning and management. Government and city planners can use business district data to optimize urban layout, improve traffic flow, upgrade public facilities, and promote urban economic prosperity. For example, the construction of commercial districts in Shenzhen has gradually concentrated on rail lines, following the overall development trend of the city from east to west.

Personalized recommendation

In the smart business district, the personalized intelligent recommendation system based on big data can improve consumers' shopping experience. By integrating the goods, services and consumer data within the business circle, the system can provide consumers with personalized shopping suggestions and preferential information.

Competitive analysis

Business circle data can be used to analyze business competitiveness within the business circle. Enterprises can develop their own competitive strategies by analyzing the data such as brand distribution, price level and promotion activities within the business circle.

Consumer behavior research

Business circle data can be used to study the length of stay and behavioral purposes of consumers. For example, IIMedia Research's data shows that when Chinese residents go shopping in the shopping district, they usually stay for 1-2 hours, and most of them are aimless lounging or partying.