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Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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#238: The Many Problems in Dealing with Data Problems

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Manage episode 399471387 series 62283
Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The data has problems. It ALWAYS has problems. Sometimes they're longstanding and well-documented issues that the analyst deeply understands but that regularly trip up business partners. Sometimes they're unexpected interruptions in the data flowing through a complex tech stack. Sometimes they're a dashboard that needs to have its logic tweaked when the calendar rolls into a new year. The analyst often finds herself on point with any and all data problems—identifying an issue when conducting an analysis, receiving an alert about a broken data feed, or simply getting sent a screen capture by a business partner calling out that something looks off in a chart. It takes situational skill and well-tuned judgment calls to figure out what to communicate and when and to whom when any of these happen. And if you don't find some really useful perspectives from Julie, Michael, and Moe on this episode, then we might just have a problem with YOU! (Not really.) For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

  continue reading

261 episodes

Artwork
iconShare
 
Manage episode 399471387 series 62283
Content provided by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tim Wilson, Michael Helbling, Moe Kiss, Val Kroll, and Julie Hoyer or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

The data has problems. It ALWAYS has problems. Sometimes they're longstanding and well-documented issues that the analyst deeply understands but that regularly trip up business partners. Sometimes they're unexpected interruptions in the data flowing through a complex tech stack. Sometimes they're a dashboard that needs to have its logic tweaked when the calendar rolls into a new year. The analyst often finds herself on point with any and all data problems—identifying an issue when conducting an analysis, receiving an alert about a broken data feed, or simply getting sent a screen capture by a business partner calling out that something looks off in a chart. It takes situational skill and well-tuned judgment calls to figure out what to communicate and when and to whom when any of these happen. And if you don't find some really useful perspectives from Julie, Michael, and Moe on this episode, then we might just have a problem with YOU! (Not really.) For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

  continue reading

261 episodes

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