HeyJaredWhat Counts?
Welcome to What Counts? by TrailBlazer Consulting. The hosts, Maura Dunn and Lee Karas bring over 30 years of experience consulting with public and private organizations across industries including energy, biotech, manufacturing, and technology.
- Indexed episodes, last 90 days
- 5
- Latest publication
- Sep 7, 2026
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- Earliest in this view
- Jul 13, 2026
Latest episodes
Information Governance Risk: Breach vs Access Loss (opens the original)
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Most people hear "information governance risk" and think immediately of a data breach. In this lightning round, Lee Karas and Maura Dunn argue that the breach is only one risk on the list, and often not the one that costs you most. They work through the risk of not being able to reach your own information, using the New England PBS stations whose seventy years of program archives went dark when their cloud provider failed; the risk of ransomware, where nobody wants your data and simply locking y
Records vs Non-Records: What Counts as Evidence (opens the original)
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Records vs Non-Records: What Counts as Evidence Records vs non-records is the first distinction any information governance program has to get right, and most organizations never make it explicitly. In the opening episode of our lightning round series, Lee Karas and Maura Dunn answer both halves of the question: what is a record, and what is not. A record is any data, in any format, that is recorded or capable of being recorded and that provides evidence of a transaction, a decision, a policy, a
Records Metadata vs Keyword Search: Making Records Findable (opens the original)
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Records findability starts at the point of creation Trustworthy information has four attributes. It must be accurate, reliable, timely, and findable. Last episode covered the first two. This week, Lee Karas and Maura Dunn take on the other two. The rule does not change. Capture the record where the work happens. Capture it when it happens. Capture it from the people doing the work. As a result, timeliness and findability follow along. Why your file dates cannot be trusted Open a shared drive and
Records Capture at the Point of Creation: Provenance and Proof (opens the original)
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Provenance decides whether your data is AI-ready Everyone wants to point AI at their content repositories. Maura Dunn's position in Episode 139 is simpler than that. A model can only be as trustworthy as the data feeding it. Provenance settles that question long before anyone builds a pipeline. Records capture points settle provenance. These are the moments in a business process where an input becomes a record. Seventeen (17) steps later, the process has changed that input into something new. Th
Document Version Control: Why AI Picks Your Worst Copy (opens the original)
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Universal search was designed to bring you the universe. So is your AI assistant. Lee and Maura take on the two questions they left hanging last episode: how do you know which version is the last one, and how do you know your data is reliable? AI-ready data turns out to be the same problem, it is not solved by searching harder, and in 2026 it carries a regulatory clock.
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