Research

The breadth of analytics has certainly increased in recent years. So, too, has the pool of people who dip their toe into creating analytics of one sort or the other. The trends toward democratization of data and self-service analytical capabilities are powerful and both have driven a lot of value for organizations in recent years. At the same time, it is possible to go too far.

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Analytics and ARTful Leadership

By Eric McNulty, Oct 05, 2017

Available to Research & Advisory Network Clients Only

Data and analytics leaders are increasingly called upon to interpret an ever-more complex competitive and global landscape for their firms. This brief introduces the VUCAST framework for addressing this complex landscape and provides an overview of ARTful leadership principles.

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Thanks to data analytics and machine learning, we are now discovering that the exact words teachers use to give students feedback is among several factors that directly influence whether a student succeeds or fails academically. And furthermore, whether she stays in school or drops out.

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Talent Analytics uses data gathered from our own proprietary talent assessments as an input variable to predict hiring success – pre-hire. We treat this dataset just like any other dataset in our predictive work. We are careful to analyze it for a strong (or weak) correlation to actual job performance. Our theory? If there is no correlation between data gathered via this method our clients should stop using it. Continuing without proof of success would be a little like a doctor “knowing” a certain medication doesn’t work for you, but continues to encourage their patients to keep using the medication. Malpractice at the very least.

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5 Things New Analytics Leaders Should Do to Succeed

By Bill Franks, Thomas H. Davenport, Jul 19, 2017

Available to Research & Advisory Network Clients Only

There is a fair amount of management research suggesting that the first 90 days or so are the most important time of a leader’s tenure. It’s when you establish your reputation and it determines what people start to think about you in your role. It’s often hard to change those first impressions. Therefore, IIA held a webinar to discuss this very important period for senior analytics leaders like a Chief Analytics Officer, Chief Data Officer, VP of analytics, or similar senior role. This paper captures the key elements of the discussion between Bill Franks and Tom Davenport, which focused on five essential things new analytics leaders should do to set themselves up for success.

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Inquiry Response: Building a Data Science Team, Recruitment and Hiring

By Rumman Chowdhury, Jul 10, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We’re a major player within a massively complex industry with a three-year mandate to build a data science practice to help us drive competitive advantage. How do we assess the gaps in our current talent pool and what are the considerations for new hiring and recruitment?

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Sticky problems keep our data scientists engaged

By Sarmila Basu, Jul 06, 2017

When you bring together a wildly diverse group of geniuses, the hard part isn’t finding work for them to do; it’s finding something that’s hard for them to solve, something so challenging that they get a little bit mad and a lot fired up. If not, they’ll get bored and they might wander off. That’s why it has taken me seven years to build my team: an eclectic mix of statisticians, economists, mathematicians, electrical engineers, biophysicists, and telecommunications specialists who are helping shape the way Microsoft uses data.

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Inquiry Response: Considerations for Rotational Training Programs

By IIA Faculty, Jun 12, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We would like to create a rotational training program for our in-house analytics professionals. New hires would rotate through various other business units to gain a broader view of the overall business, while bringing the data science perspective into those units.

Questions:

  • Would a rotational program like this appeal to recent analytics and data science graduates?
  • How does a rotational training program for analytics professionals benefit business?
  • What are some best practices for rolling out a successful rotational training program for analytics professionals?

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Inquiry Response: Tips for Assessing Talent Readiness

By Jenny Schmidt, May 30, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

How do we assess the readiness of the talent in the organization for our future analytics capability needs?

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IIA 2017 Spring Symposium Event Summary

By Jack Phillips, Apr 13, 2017

Available to Research & Advisory Network Clients Only

IIA hosted its first client-only Symposium of 2017 on March 14, 2017 at the VMware campus in Palo Alto, CA. Over 100 of IIA’s research clients gathered for the Symposium featuring five keynotes and two panel discussions. Given the location in the heart of Silicon Valley, the theme of the Spring Symposium was innovation, disruption, and the growing role of technology in shaping how analytics and data management are executed inside enterprises today.

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