It is surprising that data quality is still a concept that is viewed as a luxury, rather than a necessity. As an unapologetic data quality advocate, I’ve written white papers and blog posts about the value of good data management. It takes the efforts of many to change habits. In her blog post, The Costs of Poor Data Management, on the Data Integration Blog, Julie Hunt breaks down the impact data quality has on business.
Here’s an infographic on the cost poor data quality can have on business.
She points out that the areas of data quality deserving the greatest focus are specific to each organization. If you read my post, “Avoiding Data Quality Pitfalls”, you know that I’m a proponent of good data governance. Update early and often. My top four suggestions are:
- Translation Tables
- Stored Procedures
- Database Views
- Validation Lookups, Tables, and Rule
What are yours? Read Julie’s post, and send me your comments.