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How Business Leaders Can Evaluate the Productivity of their Data Engineering Teams

July 24th - 1 pm EST

Virtual
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It is often difficult to know whether your data engineering team is as productive and competent as it should be. When a data engineering team can’t get ahead of its backlog and business users complain incessantly, it’s tempting to question the team’s effectiveness and capabilities. But if you don’t have deep knowledge of data engineering practices, you won’t know whether a two-week turnaround on a data request is good or bad.

This webinar of seasoned data professionals will discuss the telltale signs that your data engineering team is working productively or not. They will also examine how to rehabilitate an unproductive team and how to set KPIs to measure their output objectively. If you’ve ever questioned the approach or capabilities of your data engineering team, you won’t want to miss this session!

You Will Learn

  • Symptoms of an ineffective data engineering team
  • What questions to ask your data engineering team
  • KPIs for measuring data engineering output
  • When it makes sense to hire more data engineers and not
  • Data engineering best practices your team should follow

Speakers

  • Reid Colson, EVP of Consulting Services, UDig
  • Josh Bartels, CTO, UDig
  • Wayne Eckerson, Strategic Consultant, Datalere
  • Carlos Bossy, CEO, Datalere

About Reid Colson

Reid, EVP of Consulting Services at UDig, is a long-time data professional with experience at multiple Fortune 500 companies. Most recently, he was the Chief Data and Analytics Officer at Markel. Prior to that he held multiple roles at Capital One including VP of Data Engineering.

About Josh Bartels

With over 15 years at the forefront of technology innovation, I've dedicated my career to delivering strategic solutions that drive business growth. As the Chief Technology Officer of UDig, I lead our technology vision, architecting solutions that transform how organizations leverage technology to generate impact.

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