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Data governance

Realscheme’s data governance focuses on building a data governance system at the execution management level of enterprise information systems. By combining processes, strategies, standards, and organizational structures, Realscheme provides comprehensive oversight of digital transformation efforts to ensure data is effective, accessible, high-quality, consistent, auditable, and secure. This governance system strengthens the construction and implementation of the enterprise’s data management framework, optimizing decentralized and diverse core data through techniques like standardization, quality exploration, cleaning, integration, and monitoring. Realscheme’s data governance framework aligns with the enterprise's organizational structure to form a data control execution system that operates continuously, enhancing the value of master data. It lays the data foundation for companies to better understand their consumers, facilitates the accumulation of enterprise data assets, and helps build a data-driven business capability. This, in turn, supports the development of a user-centered data operations system.

Service Offering


Realscheme focuses on full "lifecycle data management", helping enterprises establish a comprehensive data 

management architecture aligned with their application and data architecture. Realscheme designs top-level 

management policies and operational processes to ensure data and information quality are managed effectively and 

correctly.


The key tasks and deliverables of Realscheme's data governance services include:

    • Data Governance

    • Master Data Management  

    • Data Architecture Planning

    • ……


Methods and Techniques


Data governance encompasses the activities of exercising authority and control over data assets (planning, monitoring, and execution). It provides guidance for how other data management functions should operate. Starting with the ''TOGAF information architecture'' approach, Realscheme assesses the enterprise’s information systems and data architecture to determine the current maturity level of data management. Based on this evaluation, a data system development plan and roadmap are created for the enterprise, as shown in the figure.


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Selected Client Case Studies


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