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Thomas Keil 0
Big Data Analytics auf dem Vormarsch

"30 Prozent der Unternehmen haben bereits Big-Data-Initiativen" - so eines der Ergebnisse der gerade vorgestellten Studie "Big Data Analytics" des Analystenhauses BARC. Die Experten von BARC haben Unternehmen in der gesamten DACH-Region befragt und zeichnen ein aktuelles Bild des Status quo: Fast ein Drittel aller Unternehmen gibt wenig auf Pauschalurteile

Data Visualization
Jennifer Marchi 0
Everyday visual analytics

Imagine you're a business analyst who just discovered a pattern or trend that could significantly help your organization. What do you do next? You share it. Using SAS® Visual Analytics, you've published your results to the Web and mobile device before, but this time you'd rather work with your findings in

Rick Wicklin 0
Optimizing a function that evaluates an integral

SAS programmers use the SAS/IML language for many different tasks. One important task is computing an integral. Another is optimizing functions, such as maximizing a likelihood function to find parameters that best fit a set of data. Last week I saw an interesting problem that combines these two important tasks.

Kattamuri Sarma 0
Examining your inputs with SAS Enterprise Miner

To build accurate predictive models you need clean data. Having a good understanding of the data helps you to interpret the models correctly and enables you to make sound intelligent business decisions. SAS Enterprise Miner can help you to achieve the twin goals of improving the quality of data and

Phil Weiss 0
Machine learning dominates Strata 2014 in Santa Clara

Data asset management and analytic processing associated with big data were main topics of interest at the recent Strata conference in Santa Clara, California.  Hosted in Silicon Valley, the conference attracted some of the brightest and most intelligent data scientists from America’s top research and academic institutions.  Yet, to my ears, the

Thomas Wende 0
Custom Tasks im SAS Enterprise Guide

Liebe Leser, in dieser Woche war ich auf großer Deutschlandtour mit der Enterprise Guide Roadshow „EG on Tour“. Vielleicht habe ich ja einige von ihnen dort gesehen. Sollten Sie diese Gelegenheit verpasst haben: Die nächste "EG on Tour" ist schon in Arbeit. Die Tour führte von Berlin über Hamburg nach

Carol Newcomb 0
The burden of data governance: top 10 fallacies

One of the biggest impediments to (and failures of) a new data governance program is the perceived level of “extras” required. Let’s enumerate some of the concerns that I hear consistently from our clients: Extra people will be required to staff the implementation. Extra budget money will be needed to fund the

David Pope 0
Why analytics is better than simple if-then business rules

What's the differences between predictive analytics and basic reporting? Predictive analytics provides insight about what will happen in the future. Basic reporting only looks at past performance. Why is this difference difficult to grasp? It's partly because transitioning to predictive analytics requires change. And most people don't embrace change. Take

SAS Events
Kathy Council 0
Spring means SAS Global Forum!

We finally seem to be moving away from a really cold winter and into spring. That means that SAS Global Forum is just around the corner. March 23-26 will find me and many of my SAS colleagues and SAS users in National Harbour, MD, just outside of Washington DC. Will

Leo Sadovy 0
Announcing SAS for ‘Demand Signal Analytics’

From Gartner to IDC to the trade press, the watchwords in the supply chain for rest of this decade appear to be “resiliency” and “responsiveness”. It’s not going to be about promotion-based pull-through, and it’s most definitely not going to be about channel incentive-based push-through.  What it’s going to be

Thomas Keil 0
Big Data braucht Datability!

Am 6. Januar 2013 erschien in Deutschland einer der ersten Artikel zu Big Data in einer allgemeinen Publikumszeitschrift: Die “ZEIT” fragte „Wer hebt das Datengold?“ Im Mai legt dann der SPIEGEL mit einer Titelgeschichte nach. Es ist also noch gar nicht so lange her, dass die Öffentlichkeit mit dem Begriff vertraut

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