Research

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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Improving Analytics Measurement  Part 2 of 5 – Intent

By Robert Morison, Dec 06, 2017

Available to Research & Advisory Network Clients Only

Across the four categories of measurement, our survey respondents (by a slight margin) rate themselves best at measuring analytics Intent: “Are we working on the right things – the things that will make a difference to the enterprise?” Answering the question entails formulating and evaluating activities at two levels.

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

By IIA Faculty, 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 Faculty, 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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Inquiry Response: Tips for Hosting a Data Challenge

By IIA Faculty, Nov 13, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We’d like to host a data challenge for local college students to help promote the external-facing brand and to hopefully gain some insights. This data set is not robust or large. What should we be thinking about as we plan this?

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Inquiry Response: Promoting Analytics and Collaboration Across the Enterprise

By IIA Faculty, Nov 06, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

I’ve been tasked with building enterprise analytics across many functional groups. How have other organizations built a Center of Excellence from the ground up in a de-centralized environment? How did they develop the program and encourage adoption?

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2017 Analytics Symposium - Chicago Summary and Recordings

By Jack Phillips, Oct 31, 2017

Available to Research & Advisory Network Clients Only

Earlier this month, IIA held its 8th Analytics Symposium and awarded the 2017 ANNY Excellence in Analytics Award to Cisco Systems in a packed house at the Gleacher Center in Chicago. Read the key themes of the event and watch the session recordings on demand.

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ARTful Leadership – New Answers for New Challenges

By Eric McNulty, Oct 31, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Chicago Session Recording

The most competitive organizations, today and tomorrow, prize Adaptive capacity, Resilience, and high levels of Trust (ART). ARTful leadership is critical within analytics organizations and analytics is central to fostering this leadership across the larger enterprise.

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Today’s business executives are increasingly applying pressure to their Human Resources departments to “use predictive analytics”. This pressure isn’t unique to Human Resources as these same business leaders are similarly pressuring Sales, Customer Service, IT, Finance and every other line of business (LOB) leader, to do something predictive or analytical. It’s easy to waste time on predictive projects that deliver little value. What follows are 5 important steps to follow when selecting a predictive project.

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