Surveys suggest that less than 3% of companies are measuring all the dimensions of data quality! Your organization can learn how to communicate, to measure, and improve data quality faster using the Conformed Dimensions. In this tutorial, Dan Myers (Principle Information Quality Educator), explains how to measure data quality with the Conformed Dimensions of Data Quality (CDDQ) based on the following course objectives:

1. Enable participants to practice diagnosing DQ issues using the Conformed Dimensions of DQ.
2. Explain available DQ detection, control, and improvement techniques and associated Conformed Dimensions of Data Quality.
3. Enable participants to leverage existing Conformed Dimensions Example Metrics.

This session equips students with communication tools to assess data quality issues and then explain appropriate corrective actions. This builds trusted data communities, empowering individuals to make impactful decisions that drive financial success and save lives. Attendees will be able to improve the following business levers:

• Reduce Cost - Poor data quality leads to high costs and demoralized staff.
• Increase Sales - Poor data quality leads to decreased sales and lost opportunities.
• Improved Customer Experience - Poor DQ leads to decreased experience and ineffective communication.