Build a Competitive Advantage Through Data Quality Maturity

Explore the six stages of data quality maturity and what your organization can achieve at each stage

Data Quality Maturity considers where data lives, how it is managed, data quality and the type of questions being answered with data. A comprehensive analytics environment can be achieved, as organizations advance through the stages of Data Quality Maturity, to effectively analyze information to make decisions about future products, markets, and customers. A comprehensive analytics environment often includes an integrated, accurate, consistent, consolidated and enriched view of core data assets across the entire enterprise.

This data environment can be provided by automating effective data integration, data cleaning, data enrichment, consolidation/entity resolution, and Master Data Management as well, as descriptive, predictive and prescriptive data analysis. In this paper, we describe six stages of Data Quality Maturity and what organizations can achieve at each stage to enable effective decision making and gain a competitive advantage through a true single view of the business.

Read on to explore the six stages of data maturity and what your organization can achieve at each stage to enable effective decision making and secure competitive advantage.