What Defines Your “Most Valuable” Customers?
I hear it often; I need to acquire more customers like my “most valuable” customers. But what makes a customer “most valuable”? What are the characteristics and/or behaviors that make a customer “most...
View ArticleBig Data Model Maturity Discussion – What Are You Measuring?
“Maturity models” can be very useful. Every analyst firm and most vendors have created some sort of maturity model. Not only can a maturity model benchmark where you are with respect to your cohorts,...
View ArticleData Science: Identifying Variables That Might Be Better Predictors
I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science books. But I recommend to my...
View ArticleBig Data Storymap Revisited
In January 28, 2013, we released the “Big Data Storymap”. Since releasing the storymap, we have gotten lots of positive feedback. It really seemed to work in highlighting the key aspects and approaches...
View ArticleElection Data Science and the Death of Truth
The U.S. Presidential election is finally over. The protests are winding down, they’ve stopped burning cars in Oakland (for now), and the talks of California succession are waning. But I am struggling...
View ArticleData is a New Currency
This guest blog is provided by Brandon Kaier (@bkaier). Brandon has more than two decades of experience in the IT industry as a transformational leader. Kaier is responsible for setting the strategy,...
View ArticleData and Economics 101
As more organizations try to determine where best to deploy their limited budgets to support data and analytics initiatives, they realize a need to ascertain the financial value of their data and...
View ArticleIs Data Science Really Science?
My son Max is home from college and that always leads to some interesting conversations. Max is in graduate school at Iowa State University where he is studying kinesiology and strength training. As...
View ArticleBusiness Model Transformation and What it Means to the Data Industry
I recently read an MIT Sloan Management Review article by Clayton Christensen’s recent book titled “The Hard Truth About Business Model Innovations.” While the article is full of great observations...
View ArticleAggregated Data Dilemma
Okay, I am weird (tell me something that I don’t know, say most of my friends). For Christmas I wanted a Nike Apple Watch to go with my existing FitBit and Garmin fitness trackers (I look sort of like...
View ArticleOrganizational Analytics Adoption: A Generation Away?
A recent article titled “We Are Likely 3-5 Years Out From Advanced Analytics Being Critical To The Viability Of A Company” (and I thought my titles were too long) interviewed Walter Storm, the Chief...
View ArticleDifference between Big Data and Internet of Things
A recent argument with folks whose intelligence I hold in high regard (like Tom, Brandon, Wei, Anil, etc.) got me thinking about the following question: What does it mean, as a vendor, to say that you...
View ArticleThe Future Is Intelligent Apps
I have seen the future! Of course, I seem to say that every other month (maybe that’s because the future keeps changing?), but this is a good one. The future is a collision between big data (and data...
View ArticleWhose Data is it?
Many times, sports have been at the leading edge of data analytics. The book “Moneyball” was one of the first popular books to bring the basic concepts behind data analytics and data science to the...
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