There’s no silver bullet for transforming data quality management (DQM) from problem into competitive advantage. But a structured approach that considers, among other things, the right combination of human judgment and automation will yield significant improvements that are sustainable over the long term.
The Data Explosion
Managing data has become a major struggle. The amount of data and number of vendors are exploding, and companies use data in complex ways in areas like advanced selling models, marketing and contracting analytics, and performance analysis.