IBM Big Data Hub
DECEMBER 14, 2023
While the need for reliable, resilient, recoverable and corruption-free data governance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur. Interested in receiving a free cyber preparedness evaluation?
erwin
APRIL 4, 2019
A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one.
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DataRobot
DECEMBER 6, 2021
All recognize the need for higher standards in AI governance and list potential failure points caused by people, process, and technology. All recommend broader contextualization, improved risk management, and human oversight. Where Should You Start? Start at the top. Define what is important to your organization.
datapine
FEBRUARY 22, 2022
Improved risk management: Another great benefit from implementing a strategy for BI is risk management. While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies.
Andrew White
JANUARY 11, 2021
What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Governance. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. See The Future of Data and Analytics: Reengineering the Decision, 2025.
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