What is a master data platform？

The master data platform is used to describe core business entities such as products, patients, doctors, customers, suppliers, locations, and subjects. Once master data is recorded in the database, it needs to be maintained frequently to ensure its timeliness, consistency, and accuracy.

Pain points solved by the Master Data Platform

|delayed updates

The frequency of data updates is not timely enough to keep up with the needs of decision analysis.

|Challenges in data provenance

When data issues occur, identifying the problems can consume a large amount of manpower and time.

|Data is insecure

Data storage, transmission, and usage are not standardized and reasonable, making data easy to leak.

|Data is difficult to integrate

The data relationships across business flows, systems, and architectures are messy, making analysis very difficult.

|Data is inaccurate

There are large amounts of data with irregular encoding, inaccurate formatting, and unclear meanings.

Main Data Platform Architecture Diagram

Product Features

Support multi-industry, multi-type model management

Rich code management capabilities

Master data full lifecycle management

Service Automation

Comprehensive data validation capabilities

   International data platform

Full-scene data interaction capability

Product data process