Business Value

Key Features

Multiple data source and data lake support

  • Relation databases like MySQL, PostgreSQL, Oracle, SQLServer etc
  • No-SQL MongoDB, Cassandra etc
  • Hadoop ecosystem and other data lake types like S3, Greenplum support

 

Full data development lifecycle support

  • Batch or incremental ingestion to integrate data into data lake
  • Batch computing and stream computing for big data
  • Ad-hoc federated data query from multiple data sources
  • Dispatching Center to orchestrate various jobs

Comprehensive data governance capability

  • Metadata auto discovery and analysis
  • Embedded multiple industry data standard templates
  • Rule-engine based data quality control
  • Multi dimension data asset view

Dynamic data service provisioning

  • Self-service low-code data API service creation and publishing
  • Application registration and service binding
  • Service call monitoring

 

Embedded data reporting

  • Flexible widget and dashboard definition
  • Simple drag-drop and SQL view to generate report

Seamless AI enablement

  • Dataset management for AI
  • Distributed file management

A manufacturing group data platform

A manufacturing group data platform

Challenges faced by customer

  • Lack of real-time data integration ability and failure to support unified management of multiple data sources
  • Difficult to maintain task scheduling and unable to know the data workflow and job arrangement
  • Failure to support business application API service
  • Low data quality and in need of governance

Solution benefits from EDPA

  • Help clients build a unified big data platform, provide data lake and data warehouse capabilities, integrate multiple enterprise data resources
  • Design and manage data workflow and job scheduling uniformly from dispatching center module
  • Help bring new applications online quickly with customized data API service through the visual interface
  • Improve data quality and realize data standardization management with IBM data governance consulting solution
 

Provide data services for a telecom company

Challenges faced by customer

  • There is no precipitation in the general calculation model and data processing caliber, the data development efficiency is low
  • Technical threshold for the operation and maintenance of big data platform, the operation and maintenance cost is too high
  • How can the partners’ resource management and data visual capabilities be improved

Solution benefits from EDPA

  • With the help of EDPA data center, identify user portraits from accumulated user information, define user needs and subdivide users
  • Data service can help the telecom company provide precision marketing data support for 4S stores
  • Ensure partners’ safe access of all network products and various data, unified platform improves the centralized operation and maintenance management capability

 

 
Provide data services for a telecom company

A large industrial vehicle enterprise data platform

A large industrial vehicle enterprise data platform

Challenges faced by customer

  • As China national economy new normal, vehicle emission standards have been upgraded. The vehicle enterprise urgently needs to make digital transformation
  • The original parts service management system (PMS) platform no longer satisfied the group's parts business development needs
  • Urgent need to build a user-centered and platform supported digital marketing service system to help the transformation of marketing service business

Solution benefits from EDPA

  • Build a data center based on EDPA platform, create a digital marketing service system, fully realize the connection with end customers
  • Enable the marketing service business and help the enterprise make digital and cognitive transformation
  • Implement project system and informatization, and constantly improves the competitive advantages of enterprises and products worldwide

Please contact us for pricing

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