estimated reading time : 1 min

Why the metrics organizations track often fail to reflect what matters, drive the wrong behaviors, and how to build measures that lead to better decisions.

About the Author

Evan Kramer | Director, Solutions Engineering

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Evan Kramer is a data and AI leader with a career spanning enterprise data platforms, consulting, and public-sector data strategy. As Director of Solutions Engineering at The Modern Data Company , he works with organisations on activating trusted, governed data for AI and business decision-making.

Previously, Evan was an Engineering Partner and Principal Consultant at Thoughtworks . He also spent more than seven years in public education and government data leadership, including serving as Deputy Superintendent and Assistant Superintendent of Data, Assessment, and Research at the DC Office of the State Superintendent of Education . In these roles, he worked across the organization’s technology, data, operations, and people functions, including partnering closely with the CIO, CDO, COO, and CHRO. Earlier, he served as Executive Director of Data Governance and Accountability Policy at the Tennessee Department of Education .

Evan holds an M.S. in Information Technology, Business Intelligence, and Data Analytics from Carnegie Mellon University’s Heinz College and a B.A. in Psychology and Spanish from Colgate University. We’re thrilled to feature his insights on Modern Data 101 !

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Let’s Dive In

Everyone knows we’re supposed to “measure what matters,” as John Doerr wrote . But how do you know what really matters ?

In a previous post , I shared some ideas to help data teams understand their business better. I said then that metrics are an art and a science that deserve more discussion. https://moderndata101.substack.com/... A Practical Guide to Understanding Your Business as a Data Person Evan Kramer · Oct 5