

Event
How Business Leaders Can Evaluate the Productivity of their Data Engineering Teams
July 24th - 1 pm EST
Virtual

Event
How Business Leaders Can Evaluate the Productivity of their Data Engineering Teams
July 24th - 1 pm EST
Virtual
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
•
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
Josh Bartels, CTO, UDig
Wayne Eckerson, Strategic Consultant, Datalere
Carlos Bossy, CEO, Datalere
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
•
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
Josh Bartels, CTO, UDig
Wayne Eckerson, Strategic Consultant, Datalere
Carlos Bossy, CEO, Datalere
Meet the Author
Meet the Author

Josh Bartels
Chief Technology Officer
With over 20 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.

Josh Bartels
Chief Technology Officer
With over 20 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.

Josh Bartels
Chief Technology Officer
With over 20 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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© 2026 UDig LLC. All rights reserved.
© 2026 UDig LLC. All rights reserved.
© 2026 UDig LLC. All rights reserved.