Uncategorized

Rick Wicklin 0
Say hello to SAS Analytics 13.1

Late last month, while many of us were sipping eggnog and decking halls with boughs of holly, SAS released the 13.1 version of its analytical products. Readers of Maura Stokes' newsletter, SAS Statistics and Operations Research News (Nov 2013), have already been alerted to new features in products such as

Jim Davis 0
New look and new insights at sas.com

If you’ve been over to sas.com at all in the last week, you’ve probably noticed our relaunched site. The changes are kind of hard to miss. But it’s not just the home page that’s changed. And it’s not just a cosmetic redesign. The whole site has been revamped with a goal toward

Learn SAS
Rick Wicklin 0
How to vectorize time series computations

Vector languages such as SAS/IML, MATLAB, and R are powerful because they enable you to use high-level matrix operations (matrix multiplication, dot products, etc) rather than loops that perform scalar operations. In general, vectorized programs are more efficient (and therefore run faster) than programs that contain loops. For an example

Mike Gilliland 0
Forecasting new products (Part 3): By structured analogy

In the previous installment we were reminded of the potential abuses of forecasting by analogy. People are naturally reluctant to forecast that their new product idea is going to flop. Therefore, there is an inclination to ignore similar items that failed in the marketplace, or apply less weight to the failures than

Mike Gilliland 0
Forecasting new products (Part 2): By analogy

The real estate market provides a good example of the use of analogies. To determine a reasonable listing price for a property (such as this dump on the right) that is new on the market, the sales agent will prepare a list of "comps"  (comparable homes) that are currently on the market or

Mike Gilliland 0
Forecasting new products (Part 1)

How do you build a forecast when you have no historical data? This is a recurring challenge for businesses that update their product offerings, and a recurring question in online forecasting discussion groups (e.g. this one on LinkedIn). The bad news is that you probably can't expect to achieve highly

Dylan Jones 0
Common tactics for kickstarting data governance

One of the benefits of running an online data quality and data governance community is that over the course of many interviews, you start to see common threads and patterns emerging in the way practitioners create success in their data-driven programs. Data governance is a relatively new discipline, so it’s

Andreas Gödde 0
Buchrezension: Das Ende des Zufalls

Nein: Euphorie sieht anders aus. Der Medienprofi Rudi Klausnitzer gehört nicht zu den Menschen, die Big Data als das „neue Öl“ bejubeln oder in der Datenflut ein Allheilmittel sehen. Stattdessen wirft er einen kritischen, nüchternen, realistischen Blick auf die schöne neue Datenwelt – und pocht auf die an sich nicht

David Pope 0
Twas the night before big data

Twas the night before "big data," when all through the data center Not an IT supervisor was stirring, not even the help desk on-call. The servers where all humming along nicely in hopes Big data would soon be there.   The business users were nestled all snug in their offices

David Loshin 0
Behavior architecture

In the past few weeks I have presented training sessions on data governance, master data management, data quality and analytics at three different venues. At each one of these events, during one of the breaks a variety of people in my course noted that the technical concepts of implementing programs

Stefan Hauck 0
Mehr Wissen - Fazit aus einem Jahr Corporate Blog

Wir stellen hier nur einen Auszug unseres Fazits aus einem Jahr "Mehr Wissen" Blog vor - aber wir teilen auch gerne die vollständige Auswertung. Bevorzugt mit Betreibern eines Corporate Blogs im Austausch mit ihren Erfahrungen. Aber jeder kann sich die Auswertung bestellen und ist eingeladen die Ergebnisse mit uns zu diskutieren.

Data Management
Jim Harris 0
Why can’t we predict the weather?

This is the time of year when we like to make predictions about the upcoming year. Although I am optimistic about the potential of predictive analytics in the era of big data, I am also realistic about the nature of predictability regardless of how much data is used. For example, in

Rick Wicklin 0
A Christmas tree matrix

O Christmas tree, O Christmas tree, Last year a fractal made thee! O Christmas tree, O Christmas tree, A heat map can display thee! O tree of green, adorned with lights! A trunk of brown, the rest is white. O Christmas tree, O Christmas tree, A heat map can display

David Loshin 0
Behavior modeling

In my last post I introduced the term “behavior architecture,” and this time I would like to explore what that concept means. One approach is to start with the basics: given a business process with a set of decision points and a number of participants, the behavior architecture is the

1 203 204 205 206 207 255