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STATISTICA News and Blogs

Dell Software Execs on Analytics, Data Mining, and Statistica future

by STATISTICA on Wednesday, August 06, 2014 1:40 PM
KDnuggets logoIn June,'s Dr. Gregory Piatetsky published a summary of 2014 KDnuggets Annual Analytics/Data Mining Software Poll results. In his accompanying commentary, he observed, "Statistica's share has now declined for 2 years in a row (from 14% in 2012 to 9% in 2013 and 1.7% in 2014). With the recent acquisition by Dell, it seems likely that Statistica will continue to lose market and mind share."
This comment, of course, got our attention...
Dell Software

Why the best experts can’t always explain what they’re doing

by STATISTICA on Tuesday, August 05, 2014 1:25 PM

presenterAn engineer once told me this joke: A spider asked the centipede, “You have so many legs; how do you coordinate them all to walk?” The centipede pondered this question for a while, then a while longer, and longer; and the centipede never walked again.

Many industries are buried in data to the point that it overwhelms the traditional approaches to process monitoring and root cause analysis performed by process experts. Yet, human process experts can often develop a “sixth sense” about even the most complex processes...but, like the centipede, they may not be able to provide any insights on how they accomplish this feat...

big data
predictive analytics
cognitive psychology

Rescuing Businesses from the DIY Big Data Vendor Trap

by philler on Tuesday, July 29, 2014 2:47 PM

DIY hand Recently, I received a product positioning template to be completed for our advanced analytics platform, STATISTICA. When I came to the section where I was to describe the "industry problem," I was stuck, because every industry has its own kinds of problems that can readily be solved with analytics.

And then it finally hit me: there is at least one common problem that every business must face in every industry...

big data
business intelligence
analytics sol
analytics software

Predicting Best Treatment for an Individual Using Weight of Evidence (WoE) and Automatic Binning of Continuous Variables, Leading to Decisioning

by STATISTICA on Wednesday, July 09, 2014 7:36 AM
Linda A. Winters-Miner, Ph.D.Guest-authored by Linda A. Winters-Miner, Ph.D., of Southern Nazarene University in Tulsa, this mini-tutorial comprises excerpts of two tutorials from a book to be released this summer titled Practical Predictive Analytics & Decisioning Systems for Medicine by Winters-Miner, Bolding, Goldstein, Hilbe, Hill, Nisbet, Walton, and Miner (2014).

The first part is the introductory text from a tutorial (F-2) that concerns weight loss, which was authored by Winters-Miner (2014). The second part is a tutorial (J-2) that concerns the medical condition Disseminated Intravascular Coagulation (DIC), which was authored by Khichi, Parsons, and Winters-Miner (2014).

It is hoped that, by combining some aspects of both tutorials here, this mini-tutorial will...
predictive analytics
predictive modeling
weight of evidence
automatic binning

How to Group Data into Specified Percentile Categories using STATISTICA Visual Basic

by STATISTICA How-To on Tuesday, July 08, 2014 10:51 AM

STATISTICA how-to logoSometimes, STATISTICA users want to group the data in a spreadsheet variable according to percentile categories. For example, I might want to know which cases fall into which quartiles. It would make sense to sort the data, as well. It is fairly easy to do this using an SVB macro, as shown in this example...

statistica visual basic

Why predictions go wrong – and how to prevent it

by STATISTICA on Tuesday, June 10, 2014 5:31 AM
StatSoft STATISTICA thomas hill blog photo from TechPageOne.Dell.comA few years ago, I received a monthly mail-order catalog featuring various pieces of self-defense weaponry, including things like brass knuckles, nunchucks, assault knives, throwing stars, and other combat fighting “systems.”
As anyone who knows me can attest, this was clearly an example of market segmentation and propensity modeling gone amok—and a waste of money on the part of the company that sent me the catalog...
predictive modeling
propensity modeling
martial arts
customer segmentation

How to Customize Designs in ANOVA/MANOVA and General Linear Models (GLM)

by STATISTICA How-To on Monday, June 09, 2014 9:18 AM

StatSoft STATISTICA How-To logoIn the latest versions of STATISTICA, there has been a slight modification on the default effects that are displayed in the ANOVA/MANOVA and GLM results. By default, the current version of STATISTICA shows only main effects, whereas in previous versions, full factorial was the default design. This article will illustrate how to customize designs in ANOVA/MANOVA and GLM.

General Linear Models

Completing the value chain: data, insight, action

by STATISTICA on Monday, May 19, 2014 12:15 PM
arrowsI sometimes like to point out that I have predicted every stock market crash in the past 30 years—after they happened. Obviously, reporting on what happened to gain insight is interesting and perhaps useful, but the value of predicting outcomes and “pre-acting” rather than reacting to those outcomes can be priceless.
So what are the real challenges to adopting successfully predictive and prescriptive analytics? The biggest challenge in any such project—in order to incorporate these technologies into mission critical processes—is...
predictive analytics
Dell Software

Credit Scoring at Novum Bank: Data Mining defines success in high risk lending

by STATISTICA on Friday, May 02, 2014 6:46 AM

credit scoring magnifying glass

StatSoft Benelux recently conducted a successful STATISTICA implementation with Novum Bank in the Netherlands, where accurate credit scoring is crucial to the bank's margins, especially in the area of micro-credit. Novum's chief credit risk officer, Johannes "Joop" Bruinzeel, tells the whole story in an interview with Credit Expo, a Dutch newsportal for credit management. We've translated it to English...
credit scoring
predictive analytics

How to Show Grouping in Scatterplots

by STATISTICA How-To on Monday, April 07, 2014 9:40 AM

STATISTICA how-to logoA scatterplot shows the relationship between continuous variables. Applying a grouping factor adds yet another dimension that can greatly enhance a plot’s usefulness. This article explores two ways of showing a grouping variable in a scatterplot. The difference between the two methods is the fit line. One method uses one fit for all levels of a grouping factor, but shows the levels with point marker colors and patterns. The other method fits separate lines for each group.

continuous variables

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