Data Platform

Data Platform is the best solution for companies on digital transformation.

What is Data Platform

Data Platform is a useful data asset and capability center of all business domains, which can provide clean, transparent, efficient, easy-to-use and intelligent management of data and assets and external data services to digitally operate business.

Problems faced by enterprises during digital transformation

Serious data isolation

Insufficient consideration of data integration in the initial stage of enterprise informatization has left isolated many business systems developed and constructed by different suppliers, such as systems of customer management, production management, sales and procurement, order & warehousing, finance, and equipment data acquisition. Moreover, IT and OT data fail to integrate with each other effectively, which makes digital transformation difficult for enterprises.

Poor model reusability

There is a need of a comprehensive enterprise data model. Data analysis and applications of a single business system cannot support business scenarios such as full business process collaboration of enterprises, and there is an urgent need to open up the entire data link including marketing, research and development, production, warehousing, logistics, and services.

Underexplored data value

Most of the data applications are still at the stage of visualizing the status quo of separated business processes, lacking central management and control at the enterprise management level. Applications such as warnings, predictions, and AI based on big data are not fully utilized.

Unsystematic data management

There is no unified data management process, data standard, and quality standard. Data standards are inconsistent and fields have different meanings; there are no quality and evaluation standards for core data; no data responsibility management mechanism has been established, and data problems are solved only after they happen.

Lack of data asset management

The decentralized storage and incomplete aggregation of data not only makes the use of resources inefficient, but also hinders the unified management of data, resulting in low data value.


Through the extraction and connection of business data, a business-based data system is formed to help business development
  • System data research
  • Asset catalog design
  • Asset property definition
Clarify the organizations, systems, and processes, and build a data management system for data lifecycle management of data standards, metadata, master data, data quality, data security, and data services
  • Organization and role design
  • Process and system development
  • Compilation of data standards
  • Data quality evaluation strategy
  • Security framework design

According to the corporate organizational structure and strategy and operating system, the indicators are decomposed to form an indicator system and indicator standards for each business area

  • Design of indicator systems
  • Design of indicator standards

Technical tools and basic platform deployment to build an enterprise Data Center

  • Distributed big data storage platform
  • Data asset management module
  • Data visualization module
  • Data security module
  • Data service API

Collect system data into the data lake, and keep enlarging the lake according to the preliminary design results and standard requirements

  • Data lake system recognition
  • Formulation of data collection standards
  • System and table data collection
  • Verification of source system and Center data consistency

Follow the data management system, enhance data service capabilities, and empower business with data assets

  • Data field division
  • Core business object model design
  • DW design and development

In response to the business needs of different sectors such as marketing, R&D, manufacturing, and supply chain, business operations are visualized and analyzed intelligently for decision-making.

  • Digital applications for R&D
  • Digital applications for production
  • Digital applications for supply chain
  • Digital applications for marketing
  • Digital applications for service
  • Digital applications for operation


Connect isolated data, and collect, integrate, and manage corporate data, build a polymorphic data application model on Data Center, and help companies realize digital transformation


Data management efficiency

Connect isolated enterprise data, set up unified standards, meet the requirements of different scenarios and storages, realize data lifecycle management, reduce data construction costs, and improve data management efficiency


Data-driven business benefits

Gather data all around the enterprise to help it benefit from data instead of just benefiting from production and quality. Transform the enterprise from a business-driven one to a data-driven one, explore the business values of data, and empower business operations and decision-making


Digital management level

Help enterprises to dynamically integrate business with data as the core, break through the barriers between departments and business divisions, form a digital management model, and cultivate a team of digital transformation talents, greatly improving the level of digital management

We Are Looking Forward to Helping You

Contact us now and let us start transforming your business from the ground up to a new digital masterpiece.

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