Uncategorized

Andrew Pease 0
Statistics on big data: Take it easy, but do take it

When legendary travelling folk singer-songwriter Woody Guthrie summarized his approach to organizing workers, he said, “Take it easy, but take it.” Wise words to ponder in any case, but certainly whenever we put big data on the back burner to talk statistics instead. In the context of Big Data, I

Data Management
0
Data privacy doesn't have to be scary

Marketers are walking a tightrope today with data privacy issues: Data can simultaneously bring customers and brands together and further drive them apart. Recent data breaches, potential changes in data-privacy legislation and regulations loom large as customer expectations concerning marketing data continue to rise. As a result, today’s complex data

Learn SAS
Shelley Sessoms 0
Fulfilling goals

We all have goals…personal, professional, stretch goals, goals that will move us forward quickly. I’ve talked to many people who have a goal of someday writing a book. They always say “someday” in a wistful tone, because they never feel like they’ll have enough time or knowledge to be an

Simon Dennis 0
Big data in an age of uncertainty

In recent times, Britain has increasingly developed an "inquiry culture." Whenever there’s malpractice or a scandal – be it the Leveson inquiry or the recent investigation into the Mid Staffordshire NHS Foundation Trust – an inquiry serves to give citizens, public leaders and governing bodies an explanation of how and

0
The innovation vampire

Innovation is easy. All you need to do is three things.  First, have a great idea. Go on, I’ll wait. Next, make it happen. And, once that’s done, just make sure you work out how to commercialise it somehow. Innovation’s never simple, even at the best of times. Moving from

Rick Wicklin 0
Does this kurtosis make my tail look fat?

What is kurtosis? What does negative or positive kurtosis mean, and why should you care? How do you compute kurtosis in SAS software? It is not clear from the definition of kurtosis what (if anything) kurtosis tells us about the shape of a distribution, or why kurtosis is relevant to

Analytics
Waynette Tubbs 0
Chasing analytic talent

Companies like Amazon, Netflix, Zappos and Pandora have changed what consumers expect from a brand – they want brands to “know” what they want before they ask for it. To provide those kinds of personalized products and services, brands have to collect and analyze huge quantities of customer and industry

1 184 185 186 187 188 281