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Jim Harris 0
Survey says sampling still sensible

In my previous post, I discussed sampling error (i.e., when a randomly chosen sample doesn’t reflect the underlying population, aka margin of error) and sampling bias (i.e., when the sample isn’t randomly chosen at all), both of which big data advocates often claim can, and should, be overcome by using all the data. In this

Citigroup and AIG talk big data

Jill Dyché, internationally recognized speaker, author and business consultant, spends her days talking to businesses about big data – how they’re using it, challenges, successes, strategies, plans and more. What she’s hearing again and again from IT leaders is that they have to innovate with big data, move quickly and

Stacey Hamilton 0
Pharming for authors

I’m headed to San Diego, June 1-4, for the annual PharmaSUG conference. PharmaSUG is the Pharmaceutical Industry SAS Users Group, consisting of professionals worldwide in the pharmaceutical and healthcare industries who use SAS software in their work. I am representing SAS Publications in the Demo Room and would love to

Analytics
Aiman Zeid 0
Building an analytics culture

All Analytics spoke with several leaders at the recent SAS Global Forum Executive Conference on what it means to build an analytics culture.  Here’s a video of those conversations. The video features several sections related to building an analytics culture: Kim Nevala, Director of Business Strategy for the SAS Best

Sunny Zhang 0
Series: BCBS 239 - Principle 5

Principle 5: Timeliness – A bank should be able to generate aggregate and up-to-date risk data in a timely manner while also meeting the principles relating to accuracy and integrity, completeness and adaptability. A timely and accurate view of risk exposure, aggregated across credit counterparties and financial products could have

Advanced Analytics
Michael Thomas 0
Big data in your face

If you've followed technology news in the last few weeks, you've probably seen a proliferation of awestruck faces wearing blacked out goggles, similar to the image I'm using here. The goggles are Oculus Rift immersive VR headsets, and the news is the $2 billion dollar acquisition of Oculus by Facebook.

Shelley Sessoms 0
Looking for authors at Analytics 2014

For the second year in a row, I am headed to the European Analytics conference. This year the conference will be held in Frankfurt, Germany, June 4-5. Last year’s conference was so informative. I learned more about SAS’ analytical power, and I talked to many customers about the books that SAS

SAS Colombia 0
6 consejos para convertirse en un súper CIO

Debido al crecimiento masivo de las Tecnologías de la Información en la última década, el Chief Information Officer (CIO) ha pasado de tener una función de apoyo de back-office a una unidad de negocio crítica para las decisiones rentables del negocio. En la actualidad se ubica entre las cinco áreas con

Jim Harris 0
What we find in found data

In his recent Financial Times article, Tim Harford explained the big data that interests many companies is what we might call found data – the digital exhaust from our web searches, our status updates on social networks, our credit card purchases and our mobile devices pinging the nearest cellular or WiFi network.

Thomas Keil 0
Interview zur re:publica mit Professor Mayer-Schönberger: „Es muss sichergestellt werden, dass ich mich gegen die Maschine entscheiden kann!“

Viktor Mayer-Schönberger ist Oxford-Professor, Berater internationaler Organisationen sowie einer der Keynote-Speaker der re:publica 2014. In seinem Bestseller „Big Data: Eine Revolution, die unser Leben verändern wird" wirft er ein kritisches Licht auf Big Data Analytics – zeichnet aber auch positive Szenarien auf. Wir haben ihn gefragt zu seinen Forderungen an

Data Management
Aiman Zeid 0
No one route to analytics success

I led an analytical culture track at the SAS Global Forum Executive Conference last month in Washington, DC. I talked with leaders in fields as diverse as healthcare, chemical manufacturing and government. Although these organizations have very different operating models, their challenges, comments and questions were similar. They all recognized

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