[Online] Best Practices for Creating a Data Science Team

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Details
Most data projects fail, often without reaching production or delivering business outcomes. Many companies, in their pursuit to be data-driven, adopt an "upside-down approach," leading to wasted resources and no return on investment. Success hinges on four key elements: a strong data culture, the right problem, accurate data, and the right people.
This session will define the "upside-down approach," explore what constitutes a good data culture, and discuss identifying the right business problems. Finally, we'll offer strategies for maintaining a robust data culture to ensure long-term success.
This presentation covers:
- Evidence of an unsuccessful data science team
- A “Data Fable” showing an all-to-real fictional creation of a data team
- The “upside-down” approach to creating a data science team
- Suggestions for how to right the ship if your data science team was formed using the “upside-down” approach
- Cautionary tales for the near future of data science teams and history repeating
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How to Join the Webinar
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You can join via your browser (no app download required). Use Chrome or Firefox. Pre-register for the webinar:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar
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Video Recording
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This event will be recorded and placed on our YouTube. We usually have it up within 24 hours of the event. Subscribe to our YT and set your notifications: https://www.youtube.com/c/DataUmbrella/
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Time
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16:00 UTC, 9am PT / 12pm ET/ 7pm EAT/ 9:30pm IST
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Additional Details
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Talk Level: Beginner
Pre-reqs: None
Prep Work: None
Resources: None
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[Online] Best Practices for Creating a Data Science Team