
As data grows, enterprises aspire to derive real-time, anywhere/anytime insights from the data that can provide a competitive advantage.
Nevertheless, the most common impediment to achieving this goal is poor data quality. So, what’s the key to ensuring high quality insights? “The best way to achieve data quality is by combining or blending these three techniques: decoded lineage, data similarity lineage and manual lineage mapping,” says Moshe Kranc CTO, Ness Digital Engineering.