By Robert Handfield, Jan 20, 2015
Last year around this time I made a lot of predictions about what 2014 would hold in store for supply chain… Let’s revisit some of these, and see what has happened (or what hasn’t!) Here are my predictions from 2014, and an update on what I think will happen in these areas.
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.
By Bill Franks, Jan 08, 2015
On December 10, I helped facilitate the International Institute For Analytics (IIA) webinar to announce our analytics predictions for 2015. I will provide additional commentary on several of the predictions that I am especially fond of in this New Year’s post.
By Jack Phillips, Dec 23, 2014
As we close out 2014, and look back on how the analytics space has progressed over the past 12 months, it feels like we’ve seen a real inflection point in terms of the way companies view analytics. Organizations, now more than ever, are becoming intentional about building high-performing analytics programs.
By Thomas H. Davenport, Dec 16, 2014
There is little doubt that the intelligence sector in the US - including the Central Intelligence Agency or CIA, National Security Agency or NSA, parts of the Federal Bureau of Investigation or FBI, Homeland Security, and many other agencies - and elsewhere is quite accomplished at several aspects of data management and analytics. It’s also clear that businesses can learn from these organizations in several respects. Below are a few lessons from which business leaders could draw.
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.
By Gary Cokins, Dec 09, 2014
Allow me to take a contrarian view to the rapid interest in applying analytics. Have we seen this kind of story before? Is there a rush to judgment that analytics is the elusive cure-all magic potion or panacea that management has been seeking to achieve extraordinary high performance?
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.
By Thomas H. Davenport, Nov 28, 2014
Unless you are willing to become a recluse and go completely off the grid, you are stuck with a high degree of transparency of your personal data. The only real course of action is to be selective in the services and relationships you consume that affect your privacy.
By Robert Handfield, Nov 26, 2014
As more data becomes available in the grocery and retail environment, organizations are re-thinking their supply chain processes to drive increased automation, improved performance, and increased inventory turns. They are also re-thinking the design of their supply chains, thinking about how much of their product goes through distribution centers, distributed to stores, or shipped directly from suppliers to store locations.