News

By Dr. Keri Pearlson

[Tom] Davenport and his colleagues at IIA have noted that we have entered the era of Analytics 3.0. In era 1.0, traditional analytics meant that most companies were finding new ways to analyze their structured data house in large databases, data warehouses, to come up with insights that were primarily descriptive.

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Increasingly, data analytics is becoming a key component of enterprises’ operations. Most likely, however, as the saying goes, we ain’t seen nothing yet. While it’s mostly been large enterprises applying data analytics in various ways to date, smaller companies are increasingly entering the fray. Jack Phillips, CEO of the International Institute for Analytics, believes that in the near future companies will use data analytics as a competitive differentiator, in much the same way they use their products and pricing.

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By Roger du Mars, Search ManufacturingERP

Although industries such as finance and insurance are frequently fully analytics-automated, the bulk of manufacturing is wading in the emerging stage of adoption. “Across the manufacturing clients we work with — no higher than 20% would be called an analytics competitor,” Jack Phillips, CEO and co-founder of the International Institute for Analytics, said. “In manufacturing there is still a prominent culture of making decisions based on experience and guts.”

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By Nicole Laskowski, SearchCIO

Robert Morison, lead faculty member with the International Institute for Analytics in Portland, Ore., said typical IT projects tend to be goal- and milestone-driven. “With analytics in general, predictive analytics more so and big data in particular, the process is iterative. You experiment and evaluate what you’re learning and decide what to do differently next or whether to proceed at all,” he said.

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By Pete Goldin, APMdigest

Advanced analytics is reaching an inflection point in adoption by both mid-market organizations and large enterprises in an effort to gain a competitive advantage, according to research commissioned by Dell Services and executed by the International Institute for Analytics (IIA).

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By Nicole Laskowski, SearchCIO

In 2015, Hadoop will go mainstream and storytelling will be a sought-after analytics skill. Those are just two of the ten data and analytics predictions from the International Institute for Analytics (IIA).

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By Gregory Piatetsky, @kdnuggets

Highlights and discussion from IIA 2015 Analytics Predictions webinar, including Storytelling will be the hot new job in analytics; companies double investment in generating NEW and UNIQUE data, and how does one become an expert if entry-level work is automated?

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By Gil Press, Forbes

Both IDC and The International Institute for Analytics (IIA) discussed their big data and analytics predictions for 2015 in separate webcasts yesterday. Here are the highlights:

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By Julie Davis, AMA Marketing Insights

Loyalty programs with the most success use consumer analytics to drive strategy, says Jack Phillips, CEO of Portland, Ore.-based International Institute for Analytics (IIA). Seventy-four percent of companies with high-performing loyalty programs reported that data analytics was a core component, according to IIA’s 2013 loyalty program study.

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By Ann All, Enterprise Apps Today

Most people have wallets loaded with loyalty program cards and/or smartphones loaded with loyalty apps. Yet most companies are not capitalizing on this trend, hints a study from the International Institute for Analytics (IIA). Just 16 percent of companies surveyed by the IIA rated their loyalty programs as highly effective.

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