Data governance involves creating and enforcing the necessary processes and rules to manage and utilize data effectively within an organization. With the increasing penetration of DX, the collection and effective utilization of various data sources?from stakeholders, IoT in company factories, customer surveys, corporate websites, and social media?have become paramount. However, the dispersed nature of these data sources and the lack of unified control have led to incidents and reputation risks.

To mitigate these risks, it is crucial to establish company-wide controls and manage data under appropriate processes and rules. This minimizes risks and maximizes the benefits of data utilization. Our service supports companies in establishing data management processes and rules to achieve a balance between data control and promoting its effective use.

Our approach begins with identifying issues in data governance through comprehensive interviews. We then pinpoint critical areas requiring immediate attention and formulate a response plan. We organize considerations based on the data lifecycle, from acquisition to management, operation, and disposal.

Tailoring our approach to each client's data management level and business model, we develop policies such as information security and personal data handling, control contracts related to external data purchase and sales, establish cloud storage usage policies, and design enterprise-wide data management processes. We support the continuous improvement of data management processes and rules, and define roles and structures for overseeing these processes.

Additionally, we ensure that data architecture design, data quality management, and security operations are reviewed and aligned with established processes and rules. Our support includes coordinating with data management execution organizations.

• Establishes processes and rules as the foundation for appropriate data management
• Ensures compliance with laws through policy formulation and contract management, reducing security and reputational risks
• Supports the continuous improvement of data management processes

• Data management process formulation support
• Security policy formulation support in data management