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Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
This week on Making Data Simple, we have Matt Cowell. Matt serves as CEO at QuantHub, a leading data upskilling and assessment platform that helps companies create a data literate workforce across the entire enterprise. Matt uses his wealth of experience as a product and tech executive to forge the company strategy to address one of the most significant corporate challenges of the 2020’s, the data skill gap. Prior to QuantHub, Matt spent 15 years running product and tech at PE-backed companies, including building a product and engineering organization at Daxko - delivering 10x revenue growth, 7 acquisitions, and 3 enormously successful recapitalization. While at Daxko, Matt led the team to deliver the first machine learning/AI solution to the gym/fitness market. Matt is passionate about facilitating the data fluency of individuals and organizations all over the world and loves focusing on the people side of the equation.
2:25 – How do you go from SVP of Products to getting into the data learning business?
3:48 - How do you define data literacy?
5:50 – Do you teach the products?
7:36 - What’s out of scope?
12:50 – Client use case
18:07 – Solving learning problems
21:14 – What does a learning plan look like?
25:08 – Define Micro
30:20 – What’s the best way to learn?
33:14 – How do you measure success?
34:47 - Are you venture capital funded?
36:10 – Do you have a fundamental leadership belief?
38:24 – What skill do you value most in a leader?
Matt Cowell - LinkedIn