Explore the best practices to improve data quality and maximize the value of your data assets. Data quality, the condition of an organization’s data in terms of consistency, accuracy, reliability, and ...

Einat Orr is the cofounder and CEO of Treeverse, the team behind lakeFS. She is an engineering leader and holds a PhD in mathematics. It might sound counterintuitive, but an economic downturn can be ...

In today’s digital economy, organizations of all stripes manage enormous amounts of sensitive data each day, including financial records, intellectual property and personal information. Apart from the ...

NEW YORK — Shifting from an IT-oriented view to a business-oriented view is critical in addressing poor data quality, according to Ted Friedman, principal analyst at Gartner Research, where he is a ...

Today’s north star is the autonomous digital enterprise, characterized by three traits: business agility, customer centricity and the ability to drive decisions with actionable insights – three traits ...

Predictive analytics is the method of using historical data, AI, and machine learning to predict future outcomes. Organizations can take advantage of predictive analytics by following some best ...

Brex reports AI is transforming procurement, enhancing efficiency through automated tasks and predictive analytics, while ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...