What is Data Integrity? Data integrity is the quality, reliability, trustworthiness, and completeness of a data set – providing accuracy, consistency and context. Data integrity is built on four...

As more and more enterprises recognize the value of data analytics and data-driven decisions, the challenges associated with poor data quality have been brought to the forefront. As business leaders...

Executives at large enterprises have understood the value of data and data quality for years, but that awareness has been pervading an ever-broader spectrum of organizations. As the volume and...

The goal of data democratization is to enable free flow of information that powers business agility – anybody can use data at any time to make decisions without barriers to data access or...

Large organizations are faced with a rapidly growing volume of data. To make matters more challenging, the velocity of that data has also increased dramatically. Businesses that can master data...

In this article, we’ll review the importance of data quality assessment and walk through four metrics for measuring data quality. Businesses today are increasingly dependent on an ever-growing...

As enterprises benefit from the rich array of business applications available today, they also struggle with an increasingly difficult problem. With so many different applications and data sources,...

If you work with data, you’ve probably heard the term more than a few times, but what is data quality? Do you know what it actually means, and what data quality analysts do? If not, this...

As the volume of data available to large organizations continues to increase, data integration challenges are becoming more difficult. Business leaders clearly understand that their data is a...