Faculty Blog & Research

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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Inquiry Response: Scaling Solutions for R

By Casey Rosenthal, Dec 06, 2016

Available to Research & Advisory Network Clients Only

A Consumer Goods client was seeking recommendations on how to scale R within its team and leverage the insights for HTML integration.

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Bringing Clarity to Data Science Projects With Decision Modeling: A Case Study

By James Taylor, Dec 05, 2016

Available to Research & Advisory Network Clients and Professional Members

This leading practice brief examines an organization that is a global leader in information technology. Like many large companies, it has teams focusing on data science in organizations like marketing, engineering, supply chain, and IT. They also have a centralized business intelligence and analytics capability, shared across internal operations.

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Many times when I speak with analytics managers or business people interested in analytics, they tell me that performing some analytics on data is not the primary problem they have. “We have to get the analytics integrated with the process and the systems that support it,” they say. This issue, sometimes called “operational analytics,” is the most important factor in delivering business value from analytics. It’s also critical to delivering value from cognitive technologies – which, in my view, are just an extension of analytics anyway.

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Will Your Evolving Business Intelligence Strategy Make It or Break It?

By Andy Bitterer, Tapan Patel, Robert Morison, Nov 29, 2016

Available to Research & Advisory Network Clients Only

Business intelligence has come a long way – from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Andy Bitterer, Senior Director of Business Intelligence Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.

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AWS re:Invent

By Jack Phillips, Nov 29, 2016

Can’t make it to AWS Reinvent in Las Vegas this week, but want to keep up with what’s going on? A quick reminder that IIA will be covering AWS Reinvent for our research clients, as we did for O’Reilly’s Strata conference in New York earlier this year. This coverage of the major analytics technology events is a new feature of IIA’s flagship Research and Advisory Network (RAN) service in 2016 and includes access to both a written “Cliff’s Notes” summary and a hosted phone discussion around the most important trends, announcements and new technologies being showcased at each event.

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Thanksgiving Reflection

By Jack Phillips, Nov 24, 2016

In the spirit of Thanksgiving, I’d like to reflect on the past year.

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Just How Smart Are Smart Machines?

By Thomas H. Davenport, Nov 22, 2016

The number of sophisticated cognitive technologies that might be capable of cutting into the need for human labor is expanding rapidly. But linking these offerings to an organization’s business needs requires a deep understanding of their capabilities.

If popular culture is an accurate gauge of what’s on the public’s mind, it seems everyone has suddenly awakened to the threat of smart machines. Several recent films have featured robots with scary abilities to outthink and manipulate humans. In the economics literature, too, there has been a surge of concern about the potential for soaring unemployment as software becomes increasingly capable of decision making. Yet managers we talk to don’t expect to see machines displacing knowledge workers anytime soon — they expect computing technology to augment rather than replace the work of humans. In the face of a sprawling and fast-evolving set of opportunities, their challenge is figuring out what forms the augmentation should take. Given the kinds of work managers oversee, what cognitive technologies should they be applying now, monitoring closely, or helping to build?

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Finance Must Ramp Up Role as Analytics Leader

By Thomas H. Davenport, Nov 15, 2016

The fictional crime-solver Sherlock Holmes once referred in a conversation to “the curious incident of the dog in the night-time.” A Scotland Yard detective replied, “The dog did nothing in the night-time.” Holmes retorted, “That was the curious incident.” In the field of analytics, the equivalent of the dog that didn’t bark is the relatively low level of adoption of advanced analytics in finance and accounting functions. Despite being a quantitative field by nature, finance has trailed other functions like marketing, supply chain, operations, and even human resources in employing advanced analytics to make key decisions.

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Phone Briefing: Learnings from Strata + Hadoop World 2016

Nov 14, 2016

Available to Research & Advisory Network Clients Only

IIA attended the 10th annual Strata Hadoop World at the end of September, and observed that the size and scope of the event is reflective of Hadoop’s growth and mainstream adoption.

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