Research

Inquiry Response: Documentation Priorities For Your Analytics Team

By IIA Expert, Feb 03, 2020

Available to Research & Advisory Network Clients Only

Inquiry:

I’m rebuilding my analytics teams after layoffs. Going forward, I would like a documentation process in place to retain knowledge in case of future resource talent loss. What should my priorities be?

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A Decade of IIA

By Thomas H. Davenport, Jack Phillips, Jan 08, 2020

Available to Research & Advisory Network Clients Only

We co-founded the International Institute for Analytics in 2010. Since it’s now 2020, our sophisticated math skills tell us that IIA has been around for about a decade—although our first full year of operation was in 2011. We thought it might be interesting to reflect on the state of the field that IIA addresses and how it has changed over time.

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2020 ANALYTICS PREDICTIONS AND PRIORITIES

By Thomas H. Davenport, Bill Franks, Drew Smith, Robert Morison, Dec 19, 2019

Each year, the International Institute for Analytics ends the year with a look at the latest analytics trends and the most pressing analytics challenges currently facing organizations. Our predictions are based upon our day-to-day work supporting and advising analytics leaders and organizations. We take advantage of the breadth of expertise and cross-industry perspectives we encounter every day from our clients, partners, and members of the IIA expert network. This is our 10th annual look toward the upcoming year, and our annual Predictions and Priority research brief and the associated webinar have become among IIA’s most popular content of the year. This year, we’ve stuck with our approach of augmenting each of our predictions with a specific priority for leaders to focus on as they attempt to address that prediction. As a result, each priority provides specific guidance as to how to best prepare for, and adapt to, its corresponding prediction.

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Open Source Analytics Software: A Primer

By Daniel Graham, Dec 17, 2019

Available to Research & Advisory Network Clients Only

Open-source software (OSS) is inevitable. For most corporations it’s not a question of “will we use OSS?” The right question is “how much OSS do we already have in production?” More than 90% of IT organizations have OSS in their mission-critical systems. Many commercial software products — from vendors such as IBM and Microsoft — also contain open source software.
Herein we explore these major OSS subjects:

  1. OSS history and concepts
  2. Quick tour of OSS analytics
  3. What does OSS really cost?
  4. Positives and negatives of OSS analytics
  5. Guidance

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Inquiry Response: Translator Needs for Our Center of Excellence

By IIA Expert, Doug Hague, Dec 16, 2019

Available to Research & Advisory Network Clients Only

Inquiry:

We just formed a Center of Excellence (CoE) for our data science community. We’re finding ourselves challenged by the translator role. Should we up-skill current members, bring in external people from the business, or not have anyone at all?

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Inquiry Response: Getting Data Scientists to Adopt Business Oriented Processes

By IIA Expert, Nov 25, 2019

Available to Research & Advisory Network Clients Only

Inquiry:

We’ve just started a formal data analytics organization. From a process management perspective, we’re struggling because our data scientists are used to working within their individual silos until they are ready to show their work. We’re having trouble getting them to estimate timelines, commit to deadlines, and collaborate.

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CAO Perspectives: Ideal Analytics Organization

By Doug Hague, Nov 13, 2019

Available to Research & Advisory Network Clients Only

To set the stage, the analytics organizational structure I’m presenting below pertains to an analytics organization between 60 and 120 people; this is the size that seems to be a sweet spot for an effective and efficient team (large enough to have specialized skill sets, but small enough to effectively demonstrate the benefits of the team). Moreover, I’m presenting such an organizational design in consideration of an analytics effort at an established, traditional corporation, not a digital native. Digital natives will break down differently with more need for data science and data management. With 60 to 120 people, I prefer a centralized organization with P&L Analytics/Ad Hoc Analysis dotted-lined to their business partners.

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Detroit 2019 Analytics Symposium Video: ANNY Presentations & Awards

Nov 05, 2019

Available to Research & Advisory Network Clients Only

Ford Motor Company won the Excellence in Analytics Award for its Global Supply Chain Fitness Analytics initiative that supports their Manufacturing, Purchasing, Material Planning and Logistics divisions.

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Inquiry Response: Expanding Your Analytics Ecosystem With Community Outreach

By IIA Expert, Oct 14, 2019

Available to Research & Advisory Network Clients Only

Inquiry:

We’ve created a data science institute and one of our mandates is community outreach through: local universities, community partners, and K-12 programming. Do you have any tips for engaging the broader community?

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The Fuzzy Line Between Good and Evil Data Science

By Bill Franks, Sep 12, 2019

Available to Research & Advisory Network Clients Only

The vast majority of people building analytics and data science processes have every intention of being good and ethical. As a result, most potentially unethical and evil processes arise in situations where that wasn’t the intention. The problem is typically that proper focus and governance is not in place to keep analytics and data science processes on the side of good. On top of that, what is good and what is evil isn’t nearly as clear cut as we’d wish it to be.

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