How to plan data resources in digital transformation of enterprises?

I personally consulted experts consulted by CUHK on this issue, and the experts gave the following suggestions:

1. unify the information resource model and strengthen the construction of data standards.

Business-oriented, establish a unified enterprise data architecture. Relying on enterprise master data management (MDM) and data resource planning (IRP), we will strengthen the construction of data standardization and realize the unification of information resource models. Enterprise master data management is to integrate the core data (master data) in multiple business systems of an enterprise, centrally clean up and enrich the data, and distribute the unified, complete, accurate and authoritative master data to the applications that need these data in the enterprise in a service way. Around the process reengineering, from business to data, the enterprise data architecture baseline is constructed and the data architecture management mechanism is established.

2. Promote the integration of structured and unstructured data.

Promote the integration and development of structured and unstructured data, integrate hypertext, hypermedia data model and object-oriented data model, and build a data model suitable for unified organization and management of structured and unstructured data.

3. Actively deploy big data applications to promote the effective use of information resources.

Increase the deployment of big data technology applications, and comprehensively use multi-level big data technologies such as cloud computing, distributed computing, data exchange, data warehouse, data mining and unstructured data processing to build a big data platform.

4. Pay attention to data security management and ensure information security in the big data ecosystem.

In the process of information resources integration, on the premise of data security management, extensive cooperation is carried out with upstream and downstream enterprises, security management institutions, evaluation institutions and other third-party institutions to ensure the data information security of the big data ecosystem from enterprise management systems, processes and technical means.