BACKGROUND
Background
In the digital age, enterprises need to realize continuous innovation while ensuring the steady operation of businesses. We take data as the core element of product development and solution design to help customers solve data service problems, integrate and process complex data and convert them into KPI on dashboard with real time, fill the gap between analysis and decision-making, and make business more intelligent, solution include MDM, DW, BI, AI,etc.
DATA ARCHITECTURE
Data Architecture
CLASSIC CASE
Classic Case
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Before
The customer has 10+ departments，10+ record systems and 5+analysis systems. It needs dedicate data specialists to support all.The keeping problems include mistake, sync, definition, compatibility.
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Target
Format Master and business data, all the systems can use the data with real time and accurately.
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Path
1.Built data warehouse through ETL process. 2.Impleted dashboards adapt each department for review、analysis and decision. 3.Training customer understand logic and operate.
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Value
1.Complete the data platform, connect each department. 2.Mine the data advance value, get mor information of marketing and customer. 3.Allocate resources and enhance decision and execution.
ARCHITECTURE MODUL
Module
PROVIDE THE SOLUTION
Solution
BUSINESS INTELLIGENCE
Understanding
