Guessing is not a strategy: How to build decision velocity with AI and real-time data
June 10, 2026 | Live Webinar
Analyze This
Craig is based in Edmonton, Alberta, Canada and has worked with ProjectManagement.com for the last six years developing the various HEADWAY processes (Project, Change and Portfolio). He has hosted a series of webinars and is a business intelligence subject matter expert.
In any business intelligence cycle, the analysis step is critical to providing value back to the organization. It is through this step that all of the collected data is compiled, sifted and distilled to provide the intelligence that is required by management to support the decision-making process. Whether you use manual or technology-based techniques to analyze the data, management is not looking for the data you gathered but the meaning of that data. The analysis of the data should be able to provide an answer to the question that management originally asked. A business intelligence function without analysis is like coffee beans without the grinder, filter and boiling water--they are still just coffee beans until something is done to turn them into coffee.
Part of this is based on the simple failure to define our terms when we fail to make clear distinction between information and intelligence. They are the same, right? No, they are not. Information is the raw data we collect about our business. It tells us what is happening in our organization but little else. It can tell us the number of people who walk through our turnstiles, the products that they purchase, their feelings and attitudes toward the organization based on their experiences--and whether or not they will return to and make another purchase. All of this is information that is critical to our BI cycle. …
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"Do not fear to be eccentric in opinion, for every opinion now accepted was once eccentric." - Bertrand Russell |