Data approach Data governance Data quality; Focus: Policies, processes and procedures for managing data assets: Assessing and ensuring the accuracy, consistency and reliability of data ...

Microsoft announced that the Windows screenshot and screencast Snipping Tool utility is getting support for exporting ...

Data quality shouldn’t be a case of waiting for an issue to occur in production and then scrambling to fix it. Data should be constantly tested, wherever it lives, against an ever-expanding pool ...

As organizations increasingly adopt AI, with foundation models having become commoditized off-the-shelf entities, an obsession with data quality will make all the difference.

The Data Challenges For GenAI Demand A Different Approach To Data Quality. Managing data quality for genAI use cases demands a different set of skills from operations teams.

Poor data quality costs organizations an average of $12.9 million a year. Organizations are beginning to recognize that not only does it have a direct impact on revenue over the long term, but ...

In a growing data quality software market that is increasingly gaining new buyers, Microsoft Data Quality Services is a top platform buyers should consider for their data management use cases.