In this edition:

Training. Data Mining: Levels II and III
News. Objectively Measuring Scientific Progress.
Services. General Information about Prediction Impact, Inc.

Our senior consultant Eric Siegel will facilitate The Modeling Agency's "Data Mining: Level II" and "Level III" public training programs in Washington, DC, June 22-24. For more information, and to QUALIFY FOR A $200 REGISTRATION DISCOUNT for Level II, exclusively through Prediction Impact, follow the link below.

For course details, topic outlines, instructor bio, venue and tourism information, registration, and the $200 Prediction Impact discount:

http://www.the-modeling-agency.com/pi-special

On-site training offerings:

Prediction Impact offers a diverse range of on-site and on-line training options for data mining and predictive analytics. We tailor your training program according to your background and needs. What do you need to prepare for mining your data? Would you benefit from a general understanding of data mining and predictive analytics so you can determine how to best apply it? Does your IT or marketing staff need more hands-on knowledge?

For more information, including an instructor biography, see:

http://www.predictionimpact.com/predictive-analytics-training.html

For inquiries, price quotes, scheduling or training program topic outlines, email
training@predictionimpact.com or call us at (415)385-1313.

Objectively Measuring Scientific Progress: Prediction Impact Enlisted by SciTech Strategies, Inc.

Corporations and investors alike need objective measures of technology growth and scientific progress. For example, venture capitalists need a basis for evaluating the promise of emerging technologies. Likewise, pharmaceutical companies need to predict which trends in drug discovery research will fulfill their promise. These cutting edge players need a science of science.

SciTech Strategies, Inc. derives mission-critical intelligence to speculate over areas of scientific and technical progress, and forecast which are most promising. This analysis produces insights such as:

• What are the many current research trends within each field.
• Which scientific fields have the greatest vitality.
• Which scientific areas within a field have greater commercial value.
• Which trends and bodies of work are most important and central.
• How do major trends interrelate and depend on one another.

For science to study itself, there must be a concrete object of scrutiny: The growing body of scientific literature. Central to this literature are journal articles, which record scientific progress in its most rigorously reviewed and edited form. While each of these articles in isolation represent a single building block of progress, the body of literature as a whole reveals the nature of scientific progress itself.

SciTech Strategies, Inc. enlisted Prediction Impact (PI) to develop a key data mining initiative for the study of science. This initiative examines the patterns in how published articles cite one another. As a whole, this constitutes a massive network of relationships, similar to the way web pages link to one another. PI implemented and optimized SciTech Strategies' specialized, proprietary data mining and clustering methods, applying them to discover key research and technology trends. Further analysis then characterizes these trends by type, importance and vitality, and reveals the relationships between trends.

For more information about this work, SciTech Strategies, Inc. can be contacted directly at info@mapofscience.com.

Based in San Francisco, Prediction Impact, Inc. (www.PredictionImpact.com) provides consulting services over a range of disciplines, including predictive analytics, data mining, business intelligence, and text mining. Prediction Impact consultants have gained a great deal of commercial experience, working with large banks, manufacturers, retail firms, and online businesses, and enabling these organizations to learn from their data. Most Prediction Impact consultants have earned a Ph.D., demonstrating a deep technical familiarity with modeling and data mining methods.

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Customer Prediction
Business Prediction

For more information, contact Eric Siegel, Ph.D., President and Senior Consultant for Predictive Analytics:

phone: (415) 385-1313
email: eric@predictionimpact.com

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