News

By Nicole Laskowski, SearchCIO

According to faculty at the International Institute for Analytics (IIA), advances in big data, along with machine learning and embedded analytics, will drive new products, reinvent old business processes, and quite possibly mean a lot more work for lawyers.

Read More »

By Gil Press, Forbes

Both IDC and The International Institute for Analytics discussed their big data and analytics predictions for 2014 in separate webcasts earlier this week. Here is my summary of their predictions plus a few nuggets from other sources.

Read More »

By Beth Schultz, All Analytics

Advanced analytics is morphing at the speed of light, it seems, both from organizational and technological perspectives. But the International Institute for Analytics is glad to help up keep up with what’s what.

Read More »

Analytics 3.0 in HBR

Nov 20, 2013

By Thomas H. Davenport, Harvard Business Review

Expanding on the work he did with IIA, Tom Davenport shares examples of Analytics 3.0 with Harvard Business Review.

Read More »

By Erik Siemers, Portland Business Journal

Jack Phillips is your prototypical numbers guy. He’s always been fascinated with discerning the difference between the use of data analysis and raw, gut instinct. In his mind, numbers always win.

Read More »

Editorial Q&A with IIA Research Director Tom Davenport, sascom online

A new age is dawning in the analytics industry: Analytics 3.0. It marks a new analytical era. It’s about the widespread creation of new products and services based on analytics, and the point at which leading organizations will embed analytics directly into decision and operational processes

Read More »

By Beth Schultz, All Analytics

Corporate success requires strong analytical leadership that works well with the business.

Read More »

By Beth Schultz, All Analytics

You may not come across anybody who has the title “chief analytics officer” embossed on his or her business card, but rest assured those individuals are out there in role if not by that specific designation.

Read More »

By Renee Boucher Ferguson, MIT Sloan Management Review

Talent research is redefining the way companies identify and predict the core capabilities that make a data scientist successful. Fifty-five percent of big data analytics projects are abandoned, according to a recent survey. The most significant challenge with analytics projects, according to the survey? Finding talent.

Read More »

By Beth Schultz, All Analytics

With all the talk of big-data this and big-data that, you’ve most likely been thinking of big-data analytics as an organization end goal. Think again.

Read More »