Research

How to Hire and Test for Data Skills: A One-Size-Fits-All Interview Kit

By Tanya Cashorali, Aug 08, 2018

Available to Research & Advisory Network Clients Only

Given the potential benefits of data science and analytics to any organization and the limited talent pool of skilled resources, it’s critical to examine your interviewing process and determine whether it’s truly designed to source a top-tier data team. With the recent demand for data analytics and data scientist skills, it has become an increasingly daunting task for managers to adequately test and qualify candidates. This research brief includes a simple data exercise that can be completed by any candidate for a data-related role, regardless of experience or education levels. This test has been administered to dozens of candidates across a variety of industries.

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Inquiry Response: Re-Thinking a Rotational Talent Program

By IIA Expert, Jul 16, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We seem to be missing the mark with our data science and analytics rotational program; we aren’t attracting as many recruits as we would like and would like to redesign our program. Right now our program lasts for three years with three 12-month rotations.

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Inquiry Response: Preparing Sensitive Data Sets for Wider Use

By IIA Expert, Jul 09, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

What are the best practices for anonymizing workforce data such that we can share the data with analysts outside the HR organization who can help our analysts solve business problems?

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Data-savvy hybrid professionals are needed because AI-based task automation can lead to the transformation of jobs in many domains, including the law. These transformed jobs encompass a new mix of tasks, requiring regular interaction with intelligent machines and the underlying data. Who will fill these transformed jobs and new jobs in the law?

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Organizing Analytics: Your Questions Answered

By Robert Morison, Jun 27, 2018

During the Organizing Analytics Teams webinar, Bob Morison and Bill Franks discussed organizational models and techniques for analytics groups. Interest was high and more questions came in than we had time to cover completely. This blog covers nine of the unanswered ones.

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Predictive Analytics World 2018

By Bill Franks, Jun 26, 2018

Available to Research & Advisory Network Clients Only

IIA attended the Predictive Analytics World (PAW) show in Las Vegas, June 6–7, 2018. This year the show had a new format called “Mega PAW” where a number of (previously individual) PAW shows were all housed together under one roof. Some of the keynotes were shared by all attendees, while the breakouts were segmented by topic. All of the sessions IIA attended were in the business track. In this event summary, the key points from each session attended will be provided, as will some commentary on IIA’s thoughts about the topic.

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Turning PhD’s into Data Scientists…in 7 weeks

By Jack Phillips, Jun 21, 2018

It’s no surprise that many of the inquiry questions IIA receives from research clients relate to analytics and data science talent. Where should we be looking? How do we attract the candidates? How much should we be paying? And, once we have recruited the talent, how do we keep the work interesting enough so they stay around?

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Data Science Engineering

By David Alles, Jun 20, 2018

Available to Research & Advisory Network Clients Only

Reflections from Strata Data Conference 2018 and the emergence of data science engineering

The complexity of deploying advanced analytics and artificial intelligence (AI) into production is changing the nature of analytics and data science. As the size of data continues to expand and the pace of innovation accelerates, new roles are emerging. While advances in AI continued to headline the discussion at O’Reilly’s most recent Strata Data Conference (San Jose, March 5 – 8, 2018), the emergence of data science engineering as a new discipline is a clear trend and the primary focus of this brief. The objective of this report is to highlight and summarize the themes and trends supporting the emergence and importance of data science engineering. This report features a mix of unique IIA perspectives coupled with supporting thoughts from Strata presenters. This report also builds on key takeaways from our last 18 months of technology conference coverage

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Don’t Be Hit by the Analytics Backlash

By Thomas H. Davenport, Jun 19, 2018

Analytics leaders and practitioners need to be prepared both to defend analytics and AI where appropriate, ensure that you’re not contributing to issues like how to prevent algorithmic bias, what industries would be least likely to do harm with analytics, and how to reduce the societal damage from AI.

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Inquiry Response: Partnering With Local Universities

By IIA Expert, Jun 18, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

How can we develop solid relationships with local universities and expand our analytics ecosystem? What does a successful partnership look like?

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