Legacy methods have become outdated — too cumbersome and slow to meet modern business and customer demands.

Data integration is the combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information. A complete data integration solution delivers trusted data from various sources and ultimately enables analytics tools to produce effective, actionable business intelligence. ETL(extract, transform, load), among other methods, is key in integration. ETL combines databases and various forms of data into a single, unified view, making it easier to analyze, visualize, and make sense of large data sets. As data is integrated into a centralized system, quality issues are identified and necessary improvements are implemented, which ultimately results in more accurate data — the foundation for quality analysis.