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
Overview
Syllabus
Introduction
Challenges
Big picture
Trust the data
Telematics
Too good to be true
What you dont know
Telematics example
What we do instead
What we should not do
Example Bodily injury limit
Example Mockney response
Summary
Transition to IT
Predictability vs Inference
When the motor performance is too good
How to grow your data science team
Taught by
Open Data Science
