While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should ...

Data architects are senior visionaries who translate business requirements into technology requirements, and define data standards and principles, often in support of data or digital transformations.

In our increasingly digital economy, data is the oxygen that powers transformation, fuels artificial intelligence, drives ...

Data governance is a system to define who within an organization has authority and control over data assets, and how those data assets may be used. It encompasses the people, processes, and ...

But despite its advantages, DDDM can still pose challenges. Data security is critical, with regulations like the General Data Protection Regulation (GDPR) mandating stringent protections for tenant ...

Embed accountability and incentives around data quality directly into performance management processes. Establish clear, universally recognized definitions and standards for critical elements of ...

Ashitosh Chitnis is transforming enterprise data management by applying explainable, scalable AI solutions to eliminate silos ...

Data sensitivity mapping ... Reference: NIST AI Risk Management Framework emphasizes the importance of auditing and monitoring in AI systems. Incident response planning: Create incident response ...