Research

Inquiry Response: Career Development for the Analytics Team

By IIA Expert, Apr 02, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re working on our career development and career paths for our data science and analytics team. We have forty people, and we’re growing. Our concerns include low attrition and the fact that not everyone wants to be a manager.

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Do You Need a Ph.D. to Run Analytics or Data Science?

By Thomas H. Davenport, Doug Gray, Mar 22, 2018

While we are supportive of companies’ efforts to hire quantitative Ph.D.’s to practice data science, we believe that most firms are better off hiring people with other types of training and general management skills to manage analytics and data science groups. Why? Because there are a series of traits that make for effective managers of such groups, and most Ph.D.’s don’t tend to have them. We describe ten of those traits in this blog, and the reasons why they are unlikely to be found in the average doctoral degree holder. The list of traits may be useful for anyone seeking to hire a leader of analytics or data science functions-whether they are considering Ph.D.’s or not.

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Is the analytics and data science market starting to settle down? Our recent analysis of job change and tenure shows an interesting new development, which certainly suggests that things are leveling out a bit.

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Inquiry Response: Best Practices for Developing a Data Science Training Program

By Rumman Chowdhury, Feb 26, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We want to develop a training program for our data scientists. Do you have any advice?

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Several years into the “Big Data” hype, analytics and data science professionals across the country are facing a changed landscape and wondering “what’s next?”

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Building Data Teams

By Tanya Cashorali, Feb 13, 2018

In the startup world, “unicorn” is a term used to describe a startup that grows quickly to achieve a one billion dollar or greater valuation. In data science, the term means something else.

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Inquiry Response: Thoughts on a Bottom-up, Change Management Approach

By Jenny Schmidt, Dec 11, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

Now that we have our EDW technology in place, my group’s challenge is developing analytics talent across the enterprise. How can we do this in a way that gets us to where we need to be without increasing resistance from the business?

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Inquiry Response: Growing Data Driven Decision-Making as a Core Competency

By IIA Expert, Nov 27, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I’m involved in a long term project to make data driven decision-making a core business competency and are planning a champion network. We have a federated structure that will give autonomy to the business units, and we’ll also have a center of excellence. What advice can you offer us as we move forward?

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Numbers don’t lie, and they don’t judge. They don’t care if you’re a woman, or where you grew up, or if you speak with an accent. These are some of the thoughts I’ve had after speaking at the Grace Hopper Celebration of Women in Computing Conference and the Women in Statistics and Data Science Conference. After my presentations, I met with diverse groups of young women who are entering fields rooted in math and science. They wanted to know how I got here, what kind of training I’ve had, how I got on the management track, and how I came to lead a data analytics team at Microsoft.

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Inquiry Response: Thoughts on Platforms and Recruitment, Looking to the Future

By IIA Expert, Nov 20, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

What hard packages are being taught in data science programs (SAS, Stata, SPSS, R, Python, etc.)? We’ve seen a shift away from proprietary platforms. How are organizations reacting to attract and retain new talent? What does the future look like in this space?

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