Key Takeaways Inaccurate data undermines analytics, drives up costs, and damages customer trust. Implement core processes like validation, enrichment, entity resolution, and reconciliation to reduce...

Better decision-making, innovation, and compliance all hinge on one common factor: trusted data. And today, we’re working with more data than ever. But here’s a fundamental challenge that many...

New technologies are making it easier for customers to process increasingly large datasets more rapidly. And the desire to leverage those technologies for analytics, machine learning, or business...

Large enterprises (and even many small and midsize companies) are increasingly dealing with highly complex IT systems, often spread across multiple geographies and systems. In addition to core ERP,...

You know a data quality strategy is important. But do you know how to assess how good of a job your company is doing at achieving data quality? Keep reading for tips on developing a data quality...