Insight without action is worthless. Evan Stubbs, author of The Value of Business Analytics, explains that all of the data and insight you have is worthless to your company unless it is acted upon.
A better term for the “data scientist” may be “data artist,” says SAS’ Rachel Alt-Simmons. She explains how this role needs to embed a solution efficiently within a business process. And one way to do this is through the Lean methodology.
Enterprise analytics can’t be accomplished without engaging IT. Anne Robinson, Director of Supply Chain Strategy and Analytics for Verizon Wireless, offers her advice for bridging the IT and business gap.
Hungry for advice on how to get your organization hooked on analytics? Read observations from SAS’ Pamela Prentice on discussions at a SAS Power Series event about building a stronger analytics culture at your organization.
For organizations eager to grow sales by taking an analytical approach, they need to understand the data that is available right now, lock down clear business objectives, keep the process in motion and on target, and measure the results, says Eric Siegel, PhD, Conference Chair of Predictive Analytics World and Text Analytics World.
Succeeding with analytics involves skill sets that companies haven’t traditionally needed to hire for or nurture. It’s unknown territory. The International Institute of Analytics (IIA) helps companies understand how to find and nurture analytic talent. Take these steps to finding and keeping such valuable people.
James Taylor, CEO of Decision Management Solutions, and Evan Stubbs, SAS Regional Product Manager for Analytics in Australia and New Zealand, talk about embedding processes for fact-based decision making throughout the organization in this webcast.
Generally, the budget gets misapplied to all problems involving dollar signs. Check out this three-tier hierarchy for a more strategic approach to business planning.
Six key questions and answers for executives wondering how to use business analytics to improve performance and compete most successfully.
Every organization has its own style differentiator. It only makes sense that their approaches to business analytics differ as well. Read this article for details.
Who is the “mountain climber” in your organization?
You’re only as good as what you can do
Recent Comments