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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

Mike Gilliland 0
Process Control Methods in Business Forecasting

While fancy new forecasting models will always be of interest to researchers, there is plenty of really interesting and practical new work being led by forecasting practitioners. Last month Steve Morlidge (who spent 30 years at Unilever, now with CatchBull), shared his promising new approach on the “Avoidability of Forecast

Data Visualization
Sanjay Matange 0
Graphs at WUSS - Part 2

Last week I covered some of the interesting graph-related papers presented at WUSS.  There were quite a few, so I broke up the report into two parts.  Here is the second installment. In the paper  Creating Graphical Patient Profiles using SAS by William Garner of Gilead Sciences, the author describes how to create

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Understanding analytics: the bird’s eye view

Our blog editor extraordinaire Shelly Goodin brings you tips and information on technical content from our books that you can use immediately in your work. But what if you’re not there yet? What if you want to start with a 50,000-foot level view of analytics overall? Or learn how forecasting

Jim Harris 0
Behavioral data quality

For decades, data quality experts have been telling us poor quality is bad for our data, bad for our decisions, bad for our business and just plain all around bad, bad, bad – did I already mention it’s bad? So why does poor data quality continue to exist and persist?

Rick Wicklin 0
Visualize a matrix in SAS by using a discrete heat map

A heat map is a graphical representation of a matrix that uses colors to represent values in the matrix cells. Heat maps often reveal the structure of a matrix. There are three common applications of visualizing matrices with heat maps: Visualizing a correlation or covariance matrix reveals relationships between variables.

Thomas Wende 0
Oh Du fröhliche ...

Liebe Blog-Leser, schon sind wir wieder mitten drin in dieser so besinnlichen, feierlichen und staden Vorweihnachtszeit, wo die meisten Menschen vor lauter Hektik nicht wissen, wo ihnen der Kopf steht. Jahresabschlüsse sind zu machen, Geschenke noch zu besorgen. Die Menschen um einen herum sind gereizt – und nach ehrlicher Selbstbeobachtung

David Loshin 0
Behavior engineering

Instituting an analytics program in which actionable insight is delivered to a business consumer will be successful if those consumers are aware of what they need to do to improve their processes and reap the benefits. As we have explored over the past few posts, success in the use of

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