Conquer Data Quality Challenges in 4 Steps – Sample
Poor data quality is an ever-present challenge facing virtually every organization. This blueprint will help you establish a comprehensive strategy to remedy your most pressing data quality issues by following our four-phase methodology:
- Develop a Business-Driven Data Quality Improvement Plan
- Perform an In-Depth Data Assessment
- Assess Your Data Quality Practice
- Develop a Data Quality Roadmap for Continual Improvement
This blueprint will help you create and implement an effective data quality improvement initiative that is rooted in business-relevant use cases, as well providing a repeatable methodology that you can leverage to incrementally build an enterprise-wide data quality practice.