Huilan is based on the State Council's Guiding Opinions on actively promoting the "Internet +" action (No. 40 [2015]], "the State Council's notice on Issuing the action plan for promoting the development of big data" (No. 50 of national development [2015]), "opinions on the use of big data to strengthen the service and supervision of market entities" (National Development Office [2015] 51), and "organization and implementation". The in-depth understanding of the notice on major projects of big data development (fgggk [2016] No. 42) and other documents, combined with the current situation of information development in the financial industry and the requirements of data governance, deeply analyzes the pain points of data management in the current financial industry.
With the development of the Internet + progress of the financial industry and the further expansion of the service channels, the amount of data generated in the process of financial services is increasing. How to make use of these data and mine useful information to provide a basis for the precise marketing and management decisions of the financial industry is a major topic of the financial industry in the contemporary era.
The big data analysis platform provided by Huilan is driven by data, combined with advanced artificial intelligence technology, to help the financial industry to create a new business model and business form, to use a variety of models and system tools, to improve the marketing transformation effect, to help the financial industry to create differentiated products and services, and to enhance the core competitiveness.
The overall logic architecture of the system is the core of the system. Huilan has fully studied the requirements of financial industry information development and data governance, and designed the following financial big data analysis platform architecture.
Logical structure of financial big data analysis platform
Huilan provides big data analysis platform solutions, mainly including four layers: data source, data storage, data analysis and mining, and data application. It uses advanced big data and artificial intelligence technology to enable financial business and provide accurate product marketing and services for users.
Through data collection, Huilan financial big data analysis platform cleans, integrates and transforms the data of various financial channels and businesses, and further conducts data mining and analysis, so as to generate user portraits. Combined with the financial company's own business, it provides users with accurate marketing and services, and constantly optimizes management decisions.
Based on the business data of financial industry and user behavior data in external media, the application of Huilan financial big data analysis platform is mainly divided into personal customer portrait and enterprise customer portrait. Personal customer portrait includes demographic characteristics, consumption capacity data, interest data, risk preference, etc.; enterprise customer portrait includes enterprise production, circulation, operation, finance, sales and customer data, relevant industrial chain upstream and downstream data, etc.
The Huilan financial big data analysis platform provides precision marketing services with user data as the core. Financial enterprises can provide services or personalized recommendation of financial products according to the customer's user profile, such as accurately positioning the customer group and analyzing its potential financial service needs according to the customer's age, asset size, financial preference, risk tolerance level, income goal, etc, And then targeted marketing promotion
Precision marketing diagram
Huilan financial big data analysis platform integrates online and offline related behaviors of customers through big data, classifies potential customers by means of data mining, and refines sales focus. Furthermore, it provides financial companies with the prediction service of potential customers mining and lost users.
Huilan financial big data analysis platform obtains rich information data of customers based on global service, provides complete knowledge base and accurate user portrait based on big data analysis, so as to obtain more clear user needs and master the overall business situation, so as to provide decision-making basis for managers, such as how to optimize financial products, so as to better meet the needs of target groups The passive service is transformed into active service, and then fine management and decision-making are realized.
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