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1
Introduction
2
Challenges
3
Big picture
4
Trust the data
5
Telematics
6
Too good to be true
7
What you dont know
8
Telematics example
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What we do instead
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What we should not do
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Example Bodily injury limit
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Example Mockney response
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Summary
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Transition to IT
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Predictability vs Inference
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When the motor performance is too good
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How to grow your data science team
Description:
Explore common pitfalls in mission analytics and learn effective strategies to avoid them in this insightful conference talk from ODSC East 2018. Delve into the challenges organizations face when implementing data analytics, including the need for a mindset shift beyond just hiring data scientists and acquiring technology. Discover the importance of balancing EQ and IQ in data projects, selecting appropriate initiatives, phasing implementations, and distinguishing between hype and practical applications of advanced techniques like machine learning. Gain valuable insights on scaling analytics efforts, building the right talent mix, and proactively addressing potential obstacles. Through real-world examples and practical advice, learn how to navigate the complexities of data-driven decision-making and maximize the value of analytics in your organization.

Mission Analytics - Common Pitfalls and How to Avoid Them - Delin Shen

Open Data Science
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