Build Your Data Quality Program – Phases 1-4

Author(s): Ibrahim Abdel-Kader, Crystal Singh

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:

  1. Define Your Organization’s Data Environment and Business Landscape
  2. Analyze Your Priorities for Data Quality Fixes
  3. Establish Your Organization’s Data Quality Program
  4. Grow and Sustain Your Data Quality Practices

This blueprint will help you create and implement a plan to build out essential data quality capabilities, as well as a strategy for prioritizing and fixing the data quality of business unit data quality improvement projects. Effective data quality improvement initiatives are rooted in business-relevant use cases, and this blueprint will provide you with a repeatable methodology that you can leverage to incrementally build an enterprise-wide data quality practice.