Research

Next Up: Google Cloud Platform

By David Alles, Mar 16, 2017

Is there a company more associated with Internet and data than Google? Founded in 1996 by Larry Page and Sergey Brin with the mission to “organize the world’s information and make it universally accessible and useful,” Google has grown into one of the largest and most profitable companies in the world. Expanding from their core Search business, Google has become a major force in mobile (Android), media (YouTube), productivity applications (G Suite – Mail, Drive, Docs, Sheets and Slides), personal computers (Chrome and Chrome OS) and cloud services (GCP – Google Cloud Platform) while also making significant investments in autonomous vehicles (Waymo) and broadband (Google Fiber). Reflecting the growing diversity of its business, Google was reorganized as a conglomerate under the Alphabet banner in 2015.

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An Updated Post on Pies

By Cole Nussbaumer Knaflic, Mar 07, 2017

Today’s post is about one of my favorite dessert graphs: the pie chart. Those who follow my work know that I am not a fan. In fact, I’ve written posts with titles like “pie charts are evil” and given presentations called “death to pie charts.” It can be fun to be a little provocative sometimes. Though one might argue this is taking it too far.

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Stepping Up Analytics using Rapid Prototyping

By Ty Henkaline, Mar 02, 2017

The single most valuable practice any analytics team can engage in is rapid prototyping. Analytics teams already do a lot of making, and some do a lot of designing. What almost none do is a lot of prototyping. Prototyping enables a team to turn a potential analytics opportunity into a minimally viable solution – in just a fraction of the time and with just a fraction of the effort.

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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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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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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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Technology-enabled innovation is not only disrupting the competitive landscape, it is redefining the user experience value proposition across a multitude of industries. It is also putting companies on notice that if you can’t successfully engage your customers in this new digitally mediated world you are on your way to being Uberized. The five waves of digital disruption (social, mobile, cloud, data analytics and connected devices) are completely altering how people connect, communicate and discover information. What these individuals are looking for are “friction-free” user experiences that delight and inspire them. These new tools affect how customers make decisions which affect their entire customer journey which ultimately affects their customer lifetime value. Simply put, it defines the differences between the traditional customer and the new connected customer.

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Analytics as a Service: The “Buy vs. Build” Decision

Jan 18, 2017

Available to Research & Advisory Network Clients Only

The idea of competing on analytics – building and sustaining competitive differentiation from innovative use of advanced predictive and prescriptive analytics – has moved, in less than a decade, from a revolutionary notion to a strategic commonplace.

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Amazon Web Services Moves Aggressively into Big Data, BI and Analytics Services

By David Alles, Jan 16, 2017

Available to Research & Advisory Network Clients and Professional Members

There were some significant big data and analytics anniversaries in 2016. The year marked the 10th anniversary of the release of Hadoop, which we recognized in our event summary “Strata + Hadoop World 2016: Developments in Analytics on the 10th Anniversary of Hadoop” (link). 2016 also marked the 10th anniversary of the launch of Amazon Web Services (AWS) and the fifth anniversary of the first AWS re:Invent conference. IIA covered AWS re:Invent 2016 in Las Vegas Nov. 28 to Dec. 2, 2016. No other conference today is more associated with the rapid development and growing adoption of cloud computing. The first re:Invent conference in 2012 had 4,000 attendees. Five years later, this sold-out conference grew to 32,000 attendees spread across four of the largest properties in Las Vegas.

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In financial services and other highly regulated industries, regulatory compliance depends more than ever on a company’s analytical capabilities. With increasing regulatory requirements and scrutiny, reliable analytics are essential to the timely accuracy in reserves calculations, stress tests, due diligence, and regulatory compliance. The analytics tools and technologies employed, the flexibility of the technology platform, and the comprehensiveness of the overall analytics program all can accelerate, or compromise, the business processes for regulatory compliance.

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