Research

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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Inquiry Response: Thoughts on Planning a Virtual Analytics Conference

By IIA Faculty, Oct 23, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

With our analysts located across the globe, one of the drawbacks is that people don’t feel connected and don’t always know that they’re working on similar tasks. We’d like to set up a data science conference or summit to get people together to share what they’re working on and encourage community. How have others run virtual conferences to this end?

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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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Inquiry Response: Starting a Knowledge Management Program

By Mark Madsen, Aug 28, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

Our analytics department is starting a knowledge management program. What are some best practices of starting a program for our analytics department? We’re looking for lessons learned and anything that would help a knowledge management program be more successful for people doing analytics.

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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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