Key Challenges

• Poor data quality is holding back data and analytics leaders from delivering on the promise of business value through their data and analytics investments.
• Focusing the data quality business case as a one-off IT program, rather than as a continuous business initiative, is likely to lead to failure. The credibility of data and analytics leaders suffers when the organization is asked to fund initiatives that business leaders believe to be already complete.