| Best Practices for Enterprise IT Data Quality | |
| Sponsored by: BDNA | |
| Gartner estimates that more than 40% of business initiatives fail to meet their objectives due to poor data quality. As lack of vendor standards, market velocity, and technology debt continue to drive data issues, how can you create a path to data quality? This white paper explores how you can successfully accelerate data maturity by leveraging 3 core capabilities: reference language, data abstraction, and content refresh processes. Plus, learn a 3-phased approach to addressing poor data quality in your enterprise. | |
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