The Data Team Dilemma: Strategies for Surviving High Turnover

The Data Team Dilemma: Strategies for Surviving High Turnover

Author: Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs August 29, 2024 Duration: 8:48
In this episode of The Dashboard Effect, Brick and Caleb explore the pressing challenges of assembling and sustaining a robust data team in today’s volatile tech landscape. With tech turnover rates on the rise, developing strategies to attract and retain top talent is more critical than ever. They share insights on the importance of redundancy, effective documentation, and keeping solutions simple to ensure your data team stays strong. Join us to learn practical approaches to future-proofing ...

Every other Thursday, The Dashboard Effect cuts through the noise around business data. Host Brick Thompson of Blue Margin sits down with operators and leaders who are actually using analytics to steer their companies, moving beyond theory to the tangible realities of implementation. This isn't about abstract concepts; it's a focused discussion on building clarity and accountability through dashboards and reporting that people actually use. You'll hear specific stories about the hurdles mid-market and private equity-backed firms face when trying to make data-driven decisions a daily habit, not just an aspiration. The conversations in this podcast are built for leaders who need practical frameworks, whether it's about selecting the right metrics, fostering a data culture, or justifying the investment in business intelligence tools. Each episode aims to simplify a complex landscape, providing listeners with a clearer path to turning their information into a strategic advantage. Tune in for grounded advice that translates data from a potential asset into a genuine driver of business performance.
Author: Language: en-us Episodes: 100

The Dashboard Effect
Podcast Episodes
How to Avoid the "Treadmill" and Build Your Data Team Continuity [not-audio_url] [/not-audio_url]

Duration: 11:46
"Let's say you hire two people, and they build a bunch of stuff. And then they decide to quit or find a better job, and then all of that knowledge goes with them. You have to have continuity. Otherwise, you're just on a…
Implement Results, Not Just Software Solutions [not-audio_url] [/not-audio_url]

Duration: 10:46
In this episode, Brick and Caleb explore the distinction between implementing software solutions and actually driving business results. They discuss the limitations of canned reporting in various systems like CRM, ERP, a…
Fast-Tracking Data Integration with Data Lakes [not-audio_url] [/not-audio_url]

Duration: 11:12
In this episode, Brick and Caleb delve into the speed-to-insight benefits of data lakes over traditional data warehouses. They discuss how advances in technology have drastically reduced the time required to build data p…
Azure's New Threads: An Overview of Microsoft Fabric [not-audio_url] [/not-audio_url]

Duration: 10:13
In this episode, Brick and Caleb orient us to Microsoft's new data platform, Fabric, which was launched into public preview earlier this year. They discuss its key components, including its relationship with Data Enginee…
Moving from Data Constraint to Data Maturity [not-audio_url] [/not-audio_url]

Duration: 13:04
In this episode of The Dashboard Effect, hosts Brick and Caleb, discuss the road to data maturity within companies. They outline the three stages of data maturity - data constrained, data aware, and data driven - and pro…
Power BI: So Much More Than a Visual Analytics Tool [not-audio_url] [/not-audio_url]

Duration: 12:10
In this episode of the Dashboard Effect Podcast, Brick and Caleb delve into the intricacies of Power BI. They discuss the two primary components of Power BI: the Desktop version and the Service version, and how they inte…
Using Power BI to Deal with Bad Data [not-audio_url] [/not-audio_url]

Duration: 11:16
Brick and Caleb discuss the different degrees of 'bad data' and its implications on business processes and decision-making. Using real-world examples, they share an approach to identify and address issues of data quality…