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STATISTICA News and Blogs

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 6:31 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

The Dell Acquisition: Hot Topic on the Web!

by philler on Thursday, March 27, 2014 8:36 AM

StatSoft Dell surprise computerIf the sheer volume of this week's Twitter buzz is any indication, it is clear that Dell Software's acquisition of Tulsa-based StatSoft (announced three days ago) has surprised, impressed, and befuddled many an observer of the advanced analytics space...

Dell Software

StatSoft is now part of Dell

by STATISTICA on Monday, March 24, 2014 4:00 AM

Dell logo[TULSA, OK, USA, March 24, 2014 ] — StatSoft is proud to announce today that we have joined forces with Dell and Dell’s Information Management Group, one of the largest providers of end-to-end BI and analytic solutions in the market. As of today, StatSoft is part of the Dell organization.

Full story...

Software Management
Software Management Group
advanced analytics

How to Make Model Deployment Easier than Ever with New Workspace Nodes

by STATISTICA How-To on Wednesday, March 05, 2014 12:44 PM
STATISTICA how-to logoOur previous How-To article, How to Deploy Models Using SVB Nodes, covered a topic that is becoming increasingly important, especially in data mining applications with a graphical user interface working with nodes that represent data mining algorithms. Rajiv Bhattarai covered the primary topic of deployment using the original STATISTICA Visual Basic (SVB) nodes. As STATISTICA reflects the rapid advances in technology and makes significant investments to remain a leader in predictive analytics, new nodes have been developed. This is a source of many questions, so this article describes the new STATISTICA Workspace nodes and shows how using them makes model deployment easier than ever...
logistic regression
boosted trees
data modeling

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