The article from IBM emphasizes the critical role of data governance in ensuring high-quality, secure, and accessible data, which is vital for organizations aiming to leverage emerging technologies like AI, ML, and automation.
Effective data governance acts like air traffic control, managing the flow of data to ensure integrity and prevent misuse. Without proper governance, organizations risk basing decisions on inaccurate data or suffering breaches that can lead to financial losses and erode trust. Data governance also ensures organizations have access to real-time, high-quality data, enabling them to make better business decisions, optimize operations, and maintain compliance with regulations.
Establishing an effective data governance framework requires a long-term commitment, collaboration across departments, and thoughtful implementation. Organizations should start small, define roles and responsibilities, secure stakeholder buy-in, and select the right tools to manage data. Continuous monitoring, improvement, and alignment with broader business strategies are essential for sustained success. Strong data security practices, adherence to privacy regulations, and the use of maturity models help organizations build a dynamic governance ecosystem that evolves alongside the business, fostering a culture that views data as a strategic asset.
Details of 9 data governance strategies
The Data Governance Imperative
Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program
InfoSec services | InfoSec books | Follow our blog | DISC llc is listed on The vCISO Directory | ISO 27k Chat bot
