Prepared Minds
Insights on Organizational Environment
Part 2: Scanning Systems, Actors and Stakeholders
Read MoreInsights on Organizational Environment
Part 3: Organizational Environment and Uncertainty
Read MoreBuild a Better Dashboard for Your Agile Project
Good, reliable data is often the key to making an agile project successful. But project managers often struggle to get the data they need — or to find it in a sea of data they don’t. A project to address this problem at Honeywell Inc. can be a model for companies struggling to build useful…
Read MoreThe power—and pitfalls—of dynamic pricing for omnichannel retailers
Former Overstock.com executive Seth Moore clears up some common misconceptions about how dynamic pricing works in e-commerce and omnichannel retail.
Read MoreGain Competitive Advantage by Transcending the Front-Line Paradox
Front-line employees are often the first to sense change yet the last to be heard. But it doesn’t have to be that way.
Read MoreHow Analytics Can Deepen Banks’ Customer Relationships
Activating high-value customers beats pursuing raw retention goals.
Read MoreWhat every business leader should know about “knowledge reuse”
When employees have ready access to a company’s collected trove of expertise, productivity and innovation rise
Read MorePricing and promotions: The analytics opportunity
Many retailers underestimate the value of coordinating decisions on pricing and promotions. A new analytics approach can help.
Read MoreBuild a Business Case for Data Literacy Training
There’s a famous quote by W. Edwards Deming, one of the most influential thought leaders in manufacturing quality and continuous improvement. It says: “In God we trust; all others must bring data.”
Read MoreYour Data Supply Chains Are Probably a Mess. Here’s How to Fix Them.
Data is more important than ever, but most organizations still struggle with a few common issues: They focus more on data infrastructure than data products; data is often created with the needs of a particular department in mind, but little thought for the end use; they lack a common “data language” with each department coding…
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