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Webcast: Automating Annual Product Reviews in FDA-Regulated Industries Using STATISTICA Enterprise. Date/Time: May 23, 2008, 12PM (Noon) - 12:30 Eastern Time. Location: Web-based Seminar. You will receive the meeting details after you register to attend. Registration: Pre-registration is required. Join us to see how we have collaborated with companies in FDA-regulated industries to streamline Annual Product Reviews. Some of the benefits compared to a manual process are: time and resource savings, compliance benefits of a repeatable process, and standardization benefits for scenarios where multiple sites are now using different approaches and standards to generating Annual Product Reviews. Webcast: Applications for Data Mining in the Pharmaceutical Industry. Date/Time: May 28, 2008, 12PM (Noon) - 1PM Eastern Time Location: Web-based Seminar. You will receive the meeting details after you register to attend. Registration: Pre-registration is required. This Web-based seminar will cover a brief overview of the advantages of data mining as it applies to Pharmaceutical applications ranging from drug discovery to clinical trials to sales/marketing to modeling and optimizing manufacturing processes for QbD and PAT initiatives. Workshop: Overview of STATISTICA Enterprise Applications in the Pharmaceutical/BioPharmaceutical Industry. Date: Friday, May 30, 2008 Time: 12:30 PM - 2:00 PM. Location: StatSoft Philadelphia, 600 W Germantown Pike, Suite 400, Plymouth Meeting, PA 19462. 610-940-1701 . Cost: No cost, with pre-registration. Registration: Pre-registration and confirmation is required; space is limited to the first registrants, so please register as early as possible. This workshop will review case studies and examples of the range of applications for which STATISTICA Enterprise software is utilized in the Pharmaceutical and BioPharmaceutical industries, including trending applications, QbD, PAT, compliance reporting, data visualization, and data mining applications and their business benefits. Lunch will be served during the presentation. Webcast: PAT Applications Using STATISTICA Enterprise. Date/Time: June 18, 2008, 12PM (Noon) - 1PM Eastern Time. Location: Web-based Seminar. You will receive the meeting details after you register to attend. Registration: Pre-registration is required. This Web-based seminar will review examples of the use of STATISTICA Enterprise for the data management, data analysis and data visualization needs of PAT projects and practices. Specific topics covered will include: Aggregation and alignment of data from disparate data sources, multivariate predictive modeling, deploying and managing models, monitoring, and optimization. Workshop: Overview of STATISTICA Enterprise Applications in the Pharmaceutical/BioPharmaceutical Industry. Date: Friday, June 27, 2008 Time: 12:30 PM - 2:00 PM. Location: StatSoft Philadelphia, 600 W Germantown Pike, Suite 400, Plymouth Meeting, PA 19462. 610-940-1701 . Cost: No cost, with pre-registration. Registration: Pre-registration and confirmation is required; space is limited to the first registrants, so please register as early as possible. This workshop will review case studies and examples of the range of applications for which STATISTICA Enterprise software is utilized in the Pharmaceutical and BioPharmaceutical industries, including trending applications, QbD, PAT, compliance reporting, data visualization, and data mining applications and their business benefits. Lunch will be served during the presentation. Webcast ArchiveWebcast: Overview of STATISTICA Data Miner Recipes. Date/Time: Wed, Apr 23, 2008, 10:00AM - 10:30AM Eastern Time Location: Web-based Seminar. You will receive a link to the archived webcast after you register. Registration: Registration is required. This Webcast will review STATISTICA Data Miner Recipes for your data mining needs. This solution takes data mining to the next level with a wizard guided approach following recipes based on best known practices, to build prediction models and practical solutions, leveraging the most cutting edge data mining algorithms available.
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