First of all, in order to effectively implement digital transformation, it is necessary to establish a data center. Data center is a set of data system built with data as the core and oriented to various business scenarios and business needs. The construction of a data center requires sorting out the data scattered in different systems of the enterprise due to different business scenarios, cleaning, integrating and standardizing the data, and building a data warehouse for unified management. As a data application and service platform, SP Analytics Platform supports access to a variety of data sources and can quickly access an enterprise's existing data warehouse to complete data cleaning, analysis and mining.
Secondly, the landing of digital transformation also requires enterprises to build digital excellent cases. These cases can be landed in production and sales and other links, for digital transformation to provide practical experience and successful demonstration. The Shenze analytics platform supports enterprises to quickly build personalized, multi-dimensional, real-time reflective data reports. Enterprises can customize multiple data visualization forms according to different data scenarios, thus presenting more intuitive data results and providing data support for enterprises to build excellent digital success stories.
Finally, enterprises also need to continuously promote the deepening of digital transformation. Discover more business processes and data that can be digitally upgraded, complete the existing digital transformation, and lay the foundation for future digital transformation. And the Shencee analytics platform supports enterprises in the data mining process to establish multi-dimensional correlation rules based on a variety of needs, technologies and business information, and through big data analysis and AI algorithms, to enhance business intelligence and discover strategies to improve business efficiency.