Across enterprises, there's an increasing recognition that data quality and integrity are essential to moving forward with data-driven efforts, especially as artificial intelligence, machine learning, and advanced analytics initiatives are more widely adopted. At the same time, most companies are still finding out about data quality issues from customer and partner complaints. In fact, when we asked DBTA subscribers how they found out about problems in a recent survey, this was the top response.

For more than one-third of organizations out there, data quality is a constant issue, up in frequency from an identical DBTA survey fielded in 2021. The growth of data in the cloud has also been significant over the past year and an increasing number of companies are reporting an increase in data quality challenges after moving to the cloud. Finally, while there is an increasing emphasis on data quality, many efforts are being hampered by project complexities, lack of organizational support, and a struggle calculating ROI.

This all adds up to trouble for a future largely described as data-driven for the business world. To dive into the findings of this our latest data quality survey and help equip IT decision-makers and data professionals with best practices for improving their data quality moving forward, DBTA is hosting a special webinar on October 13th. Sign up today to learn how you can step up your efforts for success in the era of cloud and analytics. Reserve your seat today!

Don't miss this live event on Thursday, October 13 – 11:00am PT / 2:00pm ET.

Register now to attend the webinar The Growing Challenge of Data Quality in the Era of Cloud and Analytics.