Big Data Platform Construction

In the Data Technology era, big data platforms will shape companies’digital prospects

Big Data Platform Construction Solution


The application systems of each department within the company are independent of each other, the data lacks a unified standard, there are hidden data security risks, low efficiency in data construction... There are just some of the many pain points and challenges that hinder the efficient and accurate use of data. The construction of an enterprise-level big data platform is imperative. A big data platform is a natural next step for IT systems. It is an architecture platform that coordinates different information systems of a company and identifies the pathway to meet customer needs. With the data platform, companies can realize full-process data management and application, including unified management and integration of data, data analysis and mining modeling, data visualization exploration and presentation. These enable companies to establish complete closed-loop data operations and gradually improve their data management competency, data analysis competency, data application competency and data operations competency, and empowering them to lay a foundation for intelligence through digitalization.

Corporate Challenges


(1) Poor quality of master data: Issues such as unusable data, analysis difficulty, and time-consuming and laborious verification process have a certain impact on operation efficiency.
(2) Multiple heterogeneous information sources: Companies collect and access internal and external information in different data formats and calibers, leading to the increase of the cost of data management and analysis.
(3) Poor integration of internal and external systems: different departments prepare their own reports. As a result, data with the same significance have different processing logics, and data sharing cannot be achieved.
As a result, more time and effort are needed for business departments to obtain and analyze the data.

Business Blueprint


Solution's Value


(1) Formulate unified data standards to achieve data aggregation and management, and implement digitalization scenarios.
(2) “Activate” a massive amount of static data to promote business automation through insights into user data. Ensure unified management and interoperability of the data to dig deeper into the value of the data, and use data analysis and models to improve quantitative risk assessment capabilities.
(3) Realize the value mining of data assets to stimulate new dynamics in the data elements. Create new values such as marketing, risk assessment, and decision-making reference to make data more productive.

Empowering Industries Towards A Digital Future

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