Search Results: api (2285)

Daniel Teachey 0
Is there a data steward in your life?

If you’re a SAS user, no matter what your role—programmer, analyst, statistician or administrator—data is important. But I’m willing to bet that somewhere in your organization, there’s a group of people who not only care about the data—it’s their passion, their raison d’être. Whether they sit in IT or your

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

Dirk Mahnkopf 0
Nationaler IT-Gipfel: Big Politics, Big Decisions, Big Data – unser Standpunkt

Schritt für Schritt: Big Data wandert langsam in den Zeitungen nach vorne. Gestartet ist das Thema im Wirtschaftsteil und kommt jetzt über den naturgemäß technikkritischen Feuilleton im Politikteil an. Investitionsmittel stehen bereit Die Europäische Union will den Aufbau der datengesteuerten Wirtschaft vorantreiben: 2,5 Mrd. Euro stehen bereit für die Investition

Data Visualization
Sanjay Matange 0
Report from MWSUG 2014

The Mid-West SAS Users' Group conference in Chicago was a great success, with over 400 attendees and great weather.  The conference hotel was in downtown with nice view of the river and a stroll down "Magnificent Mile".  The city does a great job with the flower beds down Michigan Ave., along

SAS Colombia 0
¿En qué invierte el tiempo un gerente de Big Data?

Tal vez usted es de los que se preguntan cómo usan su tiempo algunos cargos en las empresas. Normalmente esto ocurre debido al desconocimiento por parte de los equipos sobre el rol de áreas diferentes a las suyas y más aún, cuando son muy especializadas. En esta oportunidad, hablaremos del

Mark Torr 0
How Hadoop emerged and why it gained mainstream traction

In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception. To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand

Analytics
Maggie Miller 0
Just say no (not only) to OLS

This guest post was written by Zubin Dowlaty. He has 20+ years’ experience in the business intelligence and analytics space. At Mu Sigma, he works closely with Fortune 500 companies counseling them on how to institutionalize data-driven decision-making. Zubin is focusing his efforts managing an agenda of rapidly implementing innovative analytics

Analytics
0
The New Normal is Strange

The first time I used the Internet it blew my mind. As a diplomat brat, at any point in time everyone I knew was everywhere but where I was. Thanks the miracles of Gopher, Veronica, IRC and email, the tyranny of distance didn’t seem so oppressive any more. When I

Risk Management
Larry Roadcap 0
Five Keys to Successful Stress Testing

Stress testing is not new to the risk world but has been a major focus since the GFC (Global Financial Crisis). For a number of years now, stress testing has helped analytical specialists quantify various aspects of potential loss. What is new is the introduction of regulatory stress tests which

Rick Wicklin 0
The frequency of letters in an English corpus

It's time for another blog post about ciphers. As I indicated in my previous blog post about substitution ciphers, the classical substitution cipher is no longer used to encrypt ultra-secret messages because the enciphered text is prone to a type of statistical attack known as frequency analysis. At the root

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