 |
How effective is your organization at leveraging data and analytics to power the business? It’s a question we pose at the beginning of nearly every customer conversation, and worth careful consideration. Why? Because organizations do not need a big data strategy; they need a business strategy that incorporates big data. There, I said it. Sorry to challenge those “big data” pundits out there that insist on putting the data first, but without a holistic point-of-view, without a business-first perspective you are definitely placing the data cart before the business horse. That’s why we built the Big Data Business Model Maturity Index—to measure where your organization is in incorporating big data in all of your business decisions. It’s about gaining intimate insights into your customer, product, and operational behaviors, trends, propensities, interests, passions, associations and affiliations. It’s about data science.
But what is data science? Simply put, it’s identifying those variables and metrics that might be better predictors of performance. We designed an eight-step process to drive the identification of these pertinent variables, score them, and use them to build action plans. Please join me during my session at Dell EMC World where I will examine these concepts in detail. I’ll leverage the Maturity Index to illustrate how our customers leverage data and analytics for optimizing key business processes, uncovering new monetization opportunities, and creating a more compelling customer engagement. And I’ll walk through a case study in which I use the eight-step process for analysis and planning, to great success. Join me Thursday, October 20th 9:30 – 10:30 AM at Dell EMC World in Austin for our session, “Think Like a Data Scientist: Build your Big Data Blueprint.” Register at: http://dellemcworld.com/2016/agenda#MT122.
The post How to Think Like a Data Scientist and Why You Should appeared first on InFocus. |
