There is an important analytics and business intelligence annual prediction that was largely overlooked for 2015. This noteworthy and developing trend is grounded in the healthcare industry. There is tremendous potential in the accelerated growth and proliferation of genomics, which is enabled by data accessibility, accompanied by clinician and researcher cooperation and collaboration.

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What’s Your End State Vision for the Internet of Things?

By Thomas H. Davenport, Feb 17, 2015

Visions evolve over time, and are never implemented quite as envisioned. But the IoT course is long and complex enough so that it can’t be accomplished without a vision. To contradict Alice of “Looking Glass” fame and George Harrison, if you don’t know where you’re going, any road will not take you there.

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Data Offense and Defense

By Thomas H. Davenport, Jan 28, 2015

I am a New England Patriots fan, and with the team facing off against the Seattle Seahawks in the big game this Sunday, I’d like to touch on the subject of offense and defense.

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Data Management for Analytics: Capabilities, Trends and Recommendations

By Mike Lampa, Jan 26, 2015

Available to ERS Clients only

Data management for analytics is an exciting field these days, to put it mildly. But the excitement often takes the form of confusion and anxiety because it takes daunting effort to navigate through what the multitude of commercial and open-source data management platforms do and where they should be deployed in order to promote better business operations, decisions, and outcomes. Organizations are increasingly feeling the pressure to more creatively democratize and monetize vast amounts of existing and new data in a variety of formats. Managing today’s data and putting it to work poses new challenges for the CIO, CDO and CAO.

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Making Sense of the Third-Party Data Economy

By Thomas H. Davenport, Jan 13, 2015

When I think of the data economy, I usually focus on either online firms like Google and LinkedIn, or large, established companies like GE and Monsanto that have invested in data and analytics-based products and services for their customers. These companies use their own data to develop their own products and services. But there are certain advantages from having third parties do this sort of work for you. They can provide independence, scale, and processes that are solely focused on helping to monetize your data.

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In-Memory Analytics: Get Faster, Better Insights from Big Data

Jan 08, 2015

Available to ERS Clients only

A successful analytics program should translate quickly into monetizing the data – where the data (and learnings from this data) helps the organization increase revenue, manage risks and pursue new product or service innovation. To accomplish this, what’s needed from a technology perspective? The key is to remove barriers and latencies associated with analytics lifecycle steps and remove the processing constraints caused by complex big data requirements. Today, the adoption in-memory analytics is growing in hopes that it can deliver speed, deeper insights and allow companies to do more with the data they have to solve a variety of business problems. As sophisticated data discovery and analytical approaches (descriptive analytics, predictive analytics, machine learning, text analytics, etc.) become commonplace, the efficiencies of “co-locating” both the data and analytical workloads are essential to handle the processing needs.

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Advanced Analytics & Big Data Adoption Report

By IIA Faculty, Dec 23, 2014

Available to ERS Clients only

Research conducted by the International Institute for Analytics (IIA) and sponsored by Dell, shows that advanced analytics, defined as predictive and prescriptive analytics rather than simple reporting, is increasingly being adopted by both midmarket organizations and large enterprises in an effort to gain a competitive advantage in their markets.

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Ignore Your Business, Rake In The Profits

By Bill Franks, Dec 11, 2014

Want to uncover interesting ways to drive value from data? Look for ways to provide value to external, third party stakeholders through analysis of the data that your organization initially collects just for itself.

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Predictions for Analytics in 2015

By IIA Faculty, Dec 10, 2014

Available to ERS Clients and Professional Members

Each year, IIA asks its faculty and leadership to offer perspective on what the world of analytics will look like in the coming year. This year we also solicited predictions from our diverse community of analytics practitioners. The following ten predictions were selected by a panel of judges to represent IIA’s outlook for 2015:

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2014 Analytics Predictions, Revisited

By Jack Phillips, Dec 04, 2014

Last year, IIA revealed nine predictions for 2014 that ran the gamut of organizational challenges, benefits of technology and staff augmentation, and new applications of analytical methods.

We’ll give a more in-depth review of the 2014 predictions during our 2015 Analytics Predictions Webinar on December 10. But for now, I wanted to offer my own quick take on the 2014 predictions, and see what we got right, and where we missed the mark a little bit.

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