STATISTICA cited in prestigious journal
Mon, 14 May 2012 14:05:00 -0500
What American Women Do For Work, via NPR
Fri, 04 May 2012 14:00:00 -0500
STATISTICA Enterprise™ Helps Enhance the Operational Process Flow at Instrumentation Laboratory, a Global Medical Device Manufacturer
Fri, 27 Apr 2012 17:49:00 -0500
Date: June 19, 2012 Time: 12:00PM Eastern / 9:00AM Pacific Presenter: Scott Zasadil, Ph.D., Chief Scientist at UPMC Health Plan's Division of Health Economics
Dr. Zasadil will present a case study of STATISTICA's applications at UPMC, including:
Dr. Zasadil joined UPMC Health Plan in 2008 where he develops, implements, and monitors advanced analytic, medical informatics, and predictive modeling tools for health care programs
He holds a Ph.D. in Mathematical Physics from Indiana University with a specialization in Partial Differential Equations, Numerical Analysis, and Statistical Mechanics. His job titles have included positions as: mathematician, physicist, software engineer and scientist. He has been involved in the programming, modeling, simulation and data analysis of projects in the fields of atmospheric physics, radiation oncology, supply chain logistics, digital signal processing, and medical informatics.
Click on the Title, Speaker , or Date/Time columns to sort the webcasts.
Financial Services / Risk Management: Opportunities to reduce credit defaults and increase acceptance rates: Predictive Analytics and Rules Management
Pharmaceutical and BioTech Manufacturing: From Raw Materials to Release: Analysis Ready Data for Pharmaceutical and Biologics Manufacturing
Insurance: Top 5 Ways to Reduce Losses Using Predictive Analytics, Text Mining, and Rules
Introduction to the STATISTICA Developer Network
Managing Models for Automated Process Monitoring using MVA (Multivariate Analyses)
Automation to Manage/Manipulate Data in Spreadsheets Using SVB
Interactive Graphical Data Analysis
Importing/Exporting Data Using SVB
Configuring Analysis Templates
Graph Customization
Integrating Predictive Modeling into Business Processes
Insurance Fraud: Insurance Fraud Detection: Methods, Issues, and Approaches
Enabling Data Access in STATISTICA Enterprise/QC
Learn How to Monitor Hundreds of Parameters in Real Time
Unstructured Data Yields Diamonds: A Survey of Text Mining Projects
Wisdom of Crowds: Using Ensembles of Predictive Models
Financial Credit: Improved Credit Scoring using STATISTICA
Predictive Modeling Deployment Options and Scoring Using SAS Code
Insurance: Predictive Modeling for the Insurance Industry
Predictive Modeling with STATISTICA Data Miner
Too Many Product/Process Parameters to Monitor? An Overview of STATISTICA Monitoring and Alerting Server (MAS).
Pharmaceutical and BioPharma: Data Mining Applications in Pharma/BioPharma Product Development
Data Mining Applications: Improve CRM Predictions with Behavior Scoring
Pharmaceutical Manufacturing: Opportunities for Analytics and Reporting Applications in Pharmaceutical Manufacturing
STATISTICA Enterprise Server: Deploying Data Analysis & Data Mining Across the Enterprise
Integrating R and STATISTICA: Integration Options and Features to Leverage Specialized R Functionality in STATISTICA and STATISTICA Enterprise Server Solutions
Overview of STATISTICA Data Miner
Overview of STATISTICA Enterprise
PAT Applications Using STATISTICA Enterprise
Pharmaceutical: Applications for Data Mining in the Pharmaceutical Industry
Automating Annual Product Reviews in FDA-Regulated Industries Using STATISTICA Enterprise
Justification and Expected Benefits of Data Analysis Automation Projects is mentioned during this webcast.
Overview of STATISTICA Data Miner Recipes