Forty-four percent of companies don't have a formal data governance policy ... are some of the key best practices for improving data quality: Investigate. First monitor the existing data quality ...

The first step to scale is to add automation to your governance process. Automation and scale can help resource-constrained teams avoid accidental or malicious data leakage and regulatory violations.

This quarter’s column is co-authored with Anthony Mazzarella, a fellow practitioner-academic doing research into what makes ...

A successful AI initiative is largely determined by the underlying quality of data. IT leaders are elevating their data lake, ...

The first four steps focus on how individual teams ... “Data catalogs that provide robust data governance and proactive quality monitoring drive confident business decisions,” says Emily ...

The addition of Okera’s data governance technology to the Databricks Lakehouse Platform will boost data protection and governance for AI and machine learning tasks. Data lakehouse platform ...

To do this effectively, businesses will need to strengthen data quality, data governance and data security ... There are several steps that organizations can pursue to help mitigate ...

Powering any successful business is a robust data management strategy, where data quality and data governance reign supreme. According to DBTA subscribers, 60% reported that they have submitted ...

Factors such as the availability and quality of this data will have a major impact on your decision to move forward with this strategic workforce planning project. To define clear, coherent, and ...

To mitigate these concerns, agencies must ensure their data sets are complete, accurate, reliable and high-quality. Here are three steps agencies should take ... Establishing strong data governance ...