Episode 2 - Why Data Science Projects Fail

01/06/20 • 28 min

In this episode, Rich Pugh, Chief Data Scientist and co-founder of Mango Solutions and David Gardner, who leads the data science team at Mango, talk about why data-science projects sometimes fail. Like the gambler who only tells you when they win, organisations tend to keep quiet when data science projects don't go to plan. Rich and David discuss how you can set up data-science projects for success, as you strive for data driven nirvana.

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Episode 1 - Winners and Losers in the Race to Data-Driven Nirvana

Dave Harries talks to Rich Pugh, Chief Data Scientist and co-founder of Mango Solutions and Dave Gardner, who leads the data science team at Mango. In this episode they discuss the likely winners and losers in the data driven revolution. As the ability to manage the ever-increasing deluge of data becomes vital to the success or otherwise of modern businesses, we discuss what the right strategic approach might be as you invest in the tools and services to reach for true, data-driven, Nirvana.

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Episode 3 - Finding the right use case for Data Science

In this episode, Rich Pugh, Chief Data Scientist and co-founder of Mango Solutions and David Gardner, who leads the data science team at Mango, talk about finding the right use case for data science projects. Too many companies are using data to solve the wrong problem, because they don't define what it is they want to achieve before diving in to a complex data-science project. The result is often "Right answer, wrong question" and of little practical use to the organisation. Rich and David tell us how to avoid such pitfalls and how to make sure you are asking the right question from the start.