About establishing a governance system

This article looks at establishing a governance system.

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Today we will learn about establishing a governance system.

Analytics governance refers to a systematic framework for organizations to effectively utilize and manage their data assets.

Below is information on establishing an analysis governance system.

Alignment of business goals and data strategy

Before establishing an analytics governance system, you must clearly define your organization’s business goals and strategy to create value through data.

You need to understand the role data analytics plays as a strategic asset to achieve your business goals.

Clarification of responsibilities and authorities within the organization

Responsibilities and authorities for data analysis must be clearly defined, and the roles and responsibilities of each department and individual involved in the data management and analysis process must be specified.

Data quality and standardization

Analytics governance must establish processes and policies to ensure data quality and maintain consistent data standards.

Measures must be put in place to maintain the accuracy, consistency, completeness, and reliability of data.

Legal regulations and compliance

Measures must be put in place to comply with legal responsibilities and regulations regarding data collection, storage, processing, and sharing.

In particular, measures must be put in place to comply with laws such as the Personal Information Protection Act.

Decision support and communication

Analytics governance must establish processes and tools to support decision-making using data and strengthen data-based communication.

Continuous monitoring and improvement

Analytical governance requires establishing a system to evaluate the effectiveness of governance and make necessary improvements through continuous monitoring and performance measurement.

Conclusion

Establishing an analysis governance system is an important element for effectively utilizing and managing an organization’s data assets, and serves as a key element for achieving the organization’s data strategy and business goals.

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