A Data Governance Model is a "must have." It's essential to a data-driven strategy and without it, an organization's entire data set and the decisions that come from it are built on a weak foundation.
May 25, 2020

If the following situations are happening in your organization, you are committing a capital sin in the Data Governance Model. 

1.) Selfishness: There is a mindset of working with "my data" rather than "company data." Example: "The method is wrong. I have my Excel document that has good data, and I'll use that instead of fixing the method."

2.) Division: The information is promoted in silos instead of across the entire organization. Example: "We report the situation change date, and they report the registration date."

3.) Avoidance: Avoiding responsibility rather than sharing responsibility. Example: "This field is IT's responsibility" or "I wasn't involved, wait for me to ask someone who was involved."

4.) Half-Hearted: Settle for only data quality rather than promoting Data Governance. Example: "Let Systems correct it."

5.) Apathy: Making tactical and reactive corrections due to a lack of training needed to be proactive and to optimize data. Example: "The customer asks, and we correct the data. We don't anticipate changes."

6.) Indifference: Not having measurable and actionable metrics for quality, tracking, and continuous improvement.

7.) Procrastination: It's tedious to build a data dictionary, and it's tempting to put it off, but without it, you don't know what you're measuring.