Research

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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How the Machine Learning of Today is Driving the Artificial Intelligence of Tomorrow

By Andrew Pease, JOSEFIN ROSÉN, Robert Morison, Dec 22, 2016

Available to Research & Advisory Network Clients Only

Machine learning is hot and for good reason. The components — big data, computing power, analytical methods — are in place, and compelling applications are multiplying. To capitalize on the technology, organizations must build experience. They must also proceed pragmatically with one eye on the business and the other on the ethical implications of the algorithms deployed and the decisions automatically made. To explore the opportunities, challenges, and success factors of machine learning today and tomorrow, IIA spoke with Andrew Pease, Principal Business Solutions Manager, Global Technology Practice at SAS Institute and Josefin Rosén, Principal Advisor Analytics, Nordic Government at SAS Institute.

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PREDICTIONS AND PRIORITIES FOR 2017

By Thomas H. Davenport, Daniel Magestro, Robert Morison, Dec 20, 2016

Available to Research & Advisory Network Clients Only

Each year, the International Institute for Analytics takes a step back from the day-to-day work of supporting and advising analytics leaders and programs, to focus on the latest trends and the most pressing challenges currently facing organizations. We have a unique advantage in this endeavor, given the breadth of expertise and cross-industry perspectives we receive every day from our clients, partners, and members of the IIA faculty and expert network.

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IT Organizations: The Shoemaker’s Analytical Children

By Thomas H. Davenport, Dec 20, 2016

For the great majority of years in the past decade, Chief Information Officers named “business intelligence and analytics” as their top focus in Gartner Inc. annual surveys of technology priorities. That set of technologies moved to number one in the survey in 2006 and stayed there until 2009. It fell to fifth in 2010 and 2011, but was back on top in 2012 and has stayed there ever since.

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Mitigating Cybersecurity Threats at Educational Institutions

By Rob Harper, Robert Morison, Dec 14, 2016

Available to Research & Advisory Network Clients Only

With large amounts of sensitive information about students, faculty, and research programs, educational institutions have become common targets for hackers and cyber criminals. Counteracting the threats can be difficult with tight budgets and complex technological environments. To explore the cybersecurity challenges faced by educational organizations, as well as some of the opportunities to address them, IIA spoke with Rob Harper, Director of the Education Practice at SAS.

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Phone Briefing: Learnings from AWS re:Invent 2016

Dec 08, 2016

Available to Research & Advisory Network Clients Only

IIA Vice President David Alles joined 32,000 AWS re:Invent attendees at the end of November and brought back his takeaways and key insights to share with the IIA community.

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When Big Data Can’t Predict

By Bill Franks, Dec 08, 2016

Most people think that in the age of big data, we always have more than enough information to build robust analytics. Unfortunately, this isn’t always the case. In fact, there are situations where even massive amounts of data still don’t enable even basic predictions to be made with confidence. In many cases, there isn’t much that can be done other than to recognize the facts and stick to the basics instead of getting fancy. This challenge of big data that can’t be used to predict seems like an impossible paradox at first, but let’s explore why it isn’t.

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I work with many clients who are trying to effectively adopt advanced analytics – data mining, predictive analytics, data science. One of the biggest problems these clients face is to how to get everyone – business, IT and data science professionals alike – on the same page.

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Observations from AWS re:Invent

By David Alles, Dec 06, 2016

Amazon launched Amazon Web Services (AWS) 10 years ago with a similar customer-centric, expansion minded approach to information technology. Today, there is no greater force in the technology industry than AWS. AWS will collect over $13B in revenue in 2016, a 55% increase over 2015. It contributes more than 100% of the operating profits of its parent company, as the other business units operate at a loss. Well known for providing the underlying infrastructure for digital native companies like Netflix, Uber and Airbnb, AWS is now heavily targeting the enterprise IT market – specifically Big Data, BI and analytics.

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