“If you build it, he will come.” – From the movie “Field of Dreams” “Build it and they will come” is a popular quote often attributed to the movie Field of Dreams. But guess what? This quote is not from the movie; it’s actually a misquote. [See the actual quote
“I have travelled the length and breadth of this country and talked with the best people, and I can assure you that data processing is a fad that won’t last out the year.” (Editor in charge of business books for Prentice Hall, 1957) Whereby the Analytics Isle tends to be a
“There are known knowns. These are things we know that we know. There are known unknowns. That is to say, there are things that we know we don't know. But there are also unknown unknowns. There are things we don't know we don't know.” - Donald Rumsfeld Welcome to the
Come along with me on a journey through the Big Data Archipelago. It involves "visiting" a series of islands - an archipelago if you will - that each present a different opportunity to find value in big data. Big data is arguably one of the most overhyped buzzwords in business
THUMP. Jolted out of a deep sleep, I intuitively sat straight up in bed. What had just happened? It felt like the house had just jumped. But wait: Houses don’t jump. Still groggy, I squinted at the clock across the room to check out the time. It was 6:25 A.M.
“We are living in the era of the connected customer - one in which normal customer behavior is to capture moments and share it in near real-time.” - from "Customer Love - it's All About the Connection" by John Balla One message does not fit all anymore. Remember the days when marketing would use one
“Truth be told, I wouldn’t mind seeing our loyalty card program go away, but we’re not there yet.” - A retail CEO I invite you to put on your consumer cap for a minute and answer these questions: How many loyalty cards do you have and how many of those
A question often asked by marketers about big data is “Where do we start?” For newcomers and seasoned experts alike, there is no shortcut to finding the “signal” in the “noise” of today’s big data. What I recommend is a structured, methodical approach to meet the challenge. Here is a suggested