The Johari Window is a term from psychology for a technique used to help people better understand their personality and behavior by combining a self assessment with assessments from their peers. In relation to data, the Johari Window is a metaphor for helping people better understand their data and assess its business impacts, not just the negative impacts of bad data quality, but also the positive impacts of good data quality.
During this episode, I discuss the Johari Window of Data Quality with Martin Doyle. Our discussion, inspired by our blog comment banter on my post There is No Such Thing as a Root Cause, includes root cause analysis, the pursuit of data perfection, metadata, communication, Business-IT collaboration, change management, defect prevention, and continuous improvement.
Martin Doyle is a Data Quality Improvement Evangelist and the CEO of DQ Global, which is a UK-based data quality software and services vendor providing data cleansing, international address and email verification, data deduplication, and data matching solutions for Customer Relationship Management, Single Customer View, and Master Data Management. DQ Global has worked with over 500 businesses worldwide on a variety of projects, providing their clients with improved data quality, making their data fit for business use, and enabling them to trust their data and make decisions based on a foundation of fact.
The Johari Window of Data Quality
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Related OCDQ Radio Episodes
Clicking on the link will take you to the episode’s blog post:
- The Blue Box of Information Quality — Guest Daragh O Brien on why Information Quality is bigger on the inside
- Studying Data Quality — Guest Gordon Hamilton on the key concepts from recommended Data Quality books
- Organizing for Data Quality — Guest Tom Redman (aka the “Data Doc”) discusses Data Quality best practices