Research & Insights

Rise of the Strategy Machines

By Thomas H. Davenport, Feb 28, 2017

While humans may be ahead of computers in the ability to create strategy today, we shouldn’t be complacent about our dominance. As a society, we are becoming increasingly comfortable with the idea that machines can make decisions and take actions on their own. We already have semi-autonomous vehicles, high-performing manufacturing robots, and automated decision making in insurance underwriting and bank credit. We have machines that can beat humans at virtually any game that can be programmed. Intelligent systems can recommend cancer cures and diabetes treatments. “Robotic process automation” can perform a wide variety of digital tasks.

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Three Paths for Aligning Analytics to Business Strategy

By Daniel Magestro, Jack Phillips, Feb 27, 2017

Available to Research & Advisory Network Clients Only

As organizations strive to build their analytics capabilities, an unexpected challenge has plagued many efforts: The activities of analytics teams and the investments made to support them aren’t in sync with what executives expect or desire. On the surface, it might have seemed straightforward for “business analytics” to be in sync with the business’s strategic needs. After all, the decision to invest in the first place was driven by the business’s needs, right?

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Inquiry Response: Establishing ROI Parameters for Future Analytics Investment

By Mark Arshawsky, Feb 27, 2017

Available to Research & Advisory Network Clients Only

Inquiry: The client was rolling out an Enterprise Analytics Initiative, and was looking to determine the appropriate ROI potential. Some questions the clients was looking to answer: How are other organizations identifying their ROI targets? How have they established related key performance indicators? How are organizations proving importance to invest in talent expansion? Is there a benchmark other companies use to measure the benefit, return of conversion, and/or adoption of analytical reporting? Response: Expert Exchange with Mark Arshawsky Sample KPI list for Calculating BI/Analytics ROI The access to data for decision-making The amount of time spent on analysis…

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Inquiry Response: Self-Funding Analytics Groups

By IIA Faculty, Feb 24, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

A manufacturing was contemplating how to approach the creation of a self-funding analytics group with their organization.  In this conversation, the client was interested to learn of potential group structures, how to increase stakeholder buy-in, personnel capabilities, and appropriate metrics to measure success.

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Talent Analytics, Corp. has a unique approach to workforce predictive analytics. At our firm, we measure success by how our projects quantifiably benefit the line of business. We watch it, track it, and report success. Our algorithms get better and smarter using the best data science methods available. I’ve been involved in the predictive workforce arena for almost two decades. I have to admit I’m surprised at how many vendors claiming to reduce employee turnover or increase employee performance do little more than offer a solution that “sounds” effective. They say the right predictive analytics buzzwords – without proving that their solutions actually work for their customers.

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Hidden Advancements in Cloud Analytics

By Adam Greene, Feb 16, 2017

IIA has been monitoring the growing momentum of Cloud-based analytics. Recent blogs and research briefs include Analytics as a Service” The Buy vs. Build” Decision and Amazon Web Services Moves Aggressively in Big Data, BI and Analytics Services. These highlight the availability of new, high profile services that are targeted directly at traditional analytics activities. However, there are also a number of more subtle, but very significant developments taking place that warrant monitoring.

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January was a busy month in the technology advisory industry with Gartner, Inc. (NYSE: IT) acquiring Corporate Executive Board (CEB) (NYSE: CEB) for $3.3 billion and IDG (parent of IDC) being acquired by Japanese investment firm China Oceanwide Holdings Group for an amount just south of $1B. While these two deals are certainly of the “blockbuster” size within the research and advisory sector, IIA’s research clients should pay particular attention to the implications of the Gartner and CEB acquisition.

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Revisiting Common Obstacles to Analytics Success

By Robert Morison, Daniel Magestro, Feb 13, 2017

Available to Research & Advisory Network Clients Only

In 2013, IIA published a popular and useful research brief in response to a client’s general question: What are the common hurdles encountered when putting analytics to work in a business, both in developing analytical models and applications and in building enterprise analytical capability? For us, this question is so central to IIA’s mission of helping organizations navigate the many challenges to achieving analytics maturity, that we decided it was time for an update and a re-evaluation of common obstacles faced by analytics leaders and practitioners. This update is informed by major forces and trends in play over the past few years.

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Last month, I wrote about why simply making predictions isn’t enough to drive value with analytics. I made the case that behind stories of failed analytic initiatives, there is often a lack of action to take the predictions and turn them into something valuable. It ends up that identifying and then taking the right action often leads to additional requirements for even more complex analyses beyond the initial effort to get to the predictions! Let’s explore what that means.

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Six Very Clear Signs That Your Job Is Due To Be Automated

By Thomas H. Davenport, Feb 07, 2017

In H. G. Wells’s classic The War of the Worlds, the narrator pauses a moment to rue the fact that he didn’t react sooner to the arrival of an “intelligence greater than man’s”—in his case, Martians landing on earth. Comparing himself to a comfortable dodo in its nest, he imagined those ill-fated birds also dithering as hungry sailors invaded their island: “We will peck them to death tomorrow, my dear.” And what about you? As intelligent technologies take over more and more of the decision-making territory once occupied by humans, are you taking any action? Are you sufficiently aware of the signs that you should? To help you get the head start you may need, here are the signs that it’s time to fly the nest. All of them are evidence that a knowledge worker’s job is on the path to automation.

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