You can use Alibaba Cloud services such as MaxCompute, ApsaraDB RDS for MySQL, and DataWorks to analyze offline data in the Internet and e-commerce industries. Then, you can use DataV to present business metrics based on the analysis results.
Overview
This topic describes how to use big data products to analyze the sales data of e-commerce websites and present the generated statistics on a DataV dashboard. The statistics include the sales metrics, customer metrics, sales rankings, and distribution of orders in different regions. DataV dynamically displays sales data on dashboards and allows you to query data based on your business requirements. This greatly improves data readability.
Scenarios
Displays data of e-commerce websites on dashboards.
Analyzes the business trends in and outside China.
Monitors data risks in the Internet and financial industries.
Procedure
The section describes the procedure of analyzing offline data in the Internet and e-commerce industries.
Synchronize user orders and other data from ApsaraDB RDS to MaxCompute.
Use DataWorks to process the raw data and expose an API for accessing the processed data.
Call the API to display the result data on a dashboard in DataV.
Benefits
Large-scale storage: Ultra-large storage capacity is available to store exabytes of data.
High performance: This solution achieves efficient and stable performance.
Low cost: This solution costs less than using a self-managed database.
High security: Tenant data is isolated between workspaces and all computing tasks are run in sandboxes.
Visualized editing: You can drag items on the graphical editing page to visualize big data in a professional way.
Details
For more information, see Best practice of analyzing offline data in the Internet and e-commerce industries.