Collibra and SAP Master Data Governance assist organizations that want to better govern and manage their business’s data. But which solution is best for your business’s needs? Evaluate Collibra vs SAP ...

When data or IT leaders invest in an AI solution, one of their goals is likely to make their organization’s data more actionable and accessible. However, research suggests many employees feel there is ...

If your business is struggling to manage customer profiles and customer master data across different departments, Customer Master Data Management (CMDM) solutions could be the answer. These tools ...

Everyone understands data is important, but many business leaders don’t realize how impactful data quality can be on day-to-day operations. In my experience, nearly all process breakdowns have root ...

Ataccama ONE vs Informatica Data Quality: Which is the better tool? Your email has been sent Ataccama ONE and Informatica Data Quality both provide impressive data quality solutions and products. But ...

In today’s fast-paced world, retailers are generating more data than ever before. From customer transactions to inventory management, retailers need to be able to manage, integrate and govern their ...

Increasingly more corporate boards and executives understand the importance of data for improved business performance. However, the majority of the data in enterprises is of poor quality. According to ...

Report recognizes Reltio’s cloud-native master data management solution, notes Reltio’s self-reported go-to-market use cases include location master data, reporting, data governance and compliance ...

Modern master data management (MDM) is essential for success — it serves as a hub for consolidating trusted data, automating data quality and bridging the gap in data fabric architecture. Learn how to ...

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 poor ...

Companies have access to more data today than ever before, but if the quality is questionable, so are any inferences from it. As the old — very old — computer science saying goes: “Garbage in, garbage ...