Research & Insights

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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Strata Data Conference 2017

By David Alles, Nov 16, 2017

Available to Research & Advisory Network Clients Only

Nothing reflects today’s rapid pace of change like the mainstreaming of Artificial Intelligence (AI). IIA launched its expanded coverage of technical conferences with last year’s Strata + Hadoop World 2016 in New York City. The central theme of this Strata event was the 10-year anniversary of Hadoop and Big Data’s coming of age. In the span of twelve short months, AI has gone from a minor conference subplot to the dominant theme and is now the leading keynote and breakout session topic.

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Data-driven decision-making: who doesn’t think it is a good idea? But it typically has a rough go in the real world of enterprise management, in part because the data itself often proves unreliable. For much of my business life IT has been tasked with building systems that could represent a single source of the truth. Unfortunately, that quest proved to be right up there with the holy grail and the fountain of youth—at best, aspirational, at worst, delusional. Today we have an opportunity to make a great leap forward, however, because for the first time in history we have broad access to high-volume data from a variety of sources that, when matched against each other, dramatically increase the probability of something like truth, and do so in a time window that is actionable. Part 3 of the blog series.

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Data-driven decision-making: who doesn’t think it is a good idea? But it typically has a rough go in the real world of enterprise management, in part because the data itself often proves unreliable. For much of my business life IT has been tasked with building systems that could represent a single source of the truth. Unfortunately, that quest proved to be right up there with the holy grail and the fountain of youth—at best, aspirational, at worst, delusional. Today we have an opportunity to make a great leap forward, however, because for the first time in history we have broad access to high-volume data from a variety of sources that, when matched against each other, dramatically increase the probability of something like truth, and do so in a time window that is actionable. Part 2 of the blog series.

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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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Why Blockchain And Analytics Don’t Mix Well

By Bill Franks, Nov 09, 2017

The concept of a blockchain is quite a phenomenon in recent times. It has quickly risen from a relatively obscure idea known mostly within some small circles to one that is being discussed as having potential to literally change some of the fundamentals of the world’s economic systems.

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Putting Unexpected Results to Work at Sanford Health

By Robert Morison, Nov 08, 2017

Available to Research & Advisory Network Clients and Professional Members

An initiative in predictive analytics at Sanford Health yielded unexpected results and valuable lessons learned. A perennial challenge for health care providers is recognizing and anticipating which patients are incurring the greatest effort and expense. Some studies have suggested that as much as 80 percent of total health care spent is on only 20 percent of patients. With the migration to population health, where providers aim to improve quality while decreasing costs, high-utilization patients have become a focus for health systems.

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Data-driven decision-making: who doesn’t think it is a good idea? But it typically has a rough go in the real world of enterprise management, in part because the data itself often proves unreliable. For much of my business life IT has been tasked with building systems that could represent a single source of the truth. Unfortunately, that quest proved to be right up there with the holy grail and the fountain of youth—at best, aspirational, at worst, delusional. Today we have an opportunity to make a great leap forward, however, because for the first time in history we have broad access to high-volume data from a variety of sources that, when matched against each other, dramatically increase the probability of something like truth, and do so in a time window that is actionable. Not everyone, of course, has access to all the sources, so to kick things off let me present a framework of the possible, within which each organization can determine what its actual will be. Part 1 of the blog series.

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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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