Third in a four-part seminar series, Analytics Unlock the Secrets of Success, examining the use of advanced analytical technologies and methodologies.
Learning Objectives
This seminar will:
- bring you up-to-date on analytics applied to diverse enterprise needs
- introduce text mining, the application of statistical techniques to extract meaning from unstructured information
- explain how text mining can be integrated with traditional analysis of fielded, numeric data
- provide a roadmap for introduction of text mining in the enterprise
Program Content
Text mining is an emerging technology for extracting meaning from the “unstructured” text that constitutes a majority of enterprise information assets.
Applied to routine customer and business interactions, regulatory and financial filings, operational reports and documentation, and news articles, text mining extracts concepts to create and apply taxonomies that categorize the wealth of enterprise information. Just as data mining discerns patterns in numeric data for predictive modeling, text mining identifies conceptually-based interconnections to classify documents and automate processes ranging from customer service to the prevention of terrorist attacks.
Text mining is especially powerful when allied with traditional analysis of fielded numeric data to extend enterprise analytics to all available information sources, enhancing enterprise performance and competitiveness.
Text Mining in the Enterprise Analytics Mix will introduce text mining and its integration with traditional analytics to provide a complete, comprehensive analytical picture of the enterprise.
Participant level of understanding
This program is intended for participants with a basic or intermediate understanding of analytics independent of business application.
Prerequisites:
There are no prerequisites for this seminar.
Advance Preparation
There is no advanced preparation required for this seminar.
Who Should Attend
Executives, Directors, Managers, and Analysts who wish to learn how to expand their organizations' analyses to encompass previously untapped sources of business insight.
About Seth Grimes (Alta Plana Corp.) and John Wallace (Business Researchers, Inc.)
Seth Grimes has worked for over twenty years in data systems architecture and design, specializing in systems for analysis and management of social, demographic, economic, and marketing statistics and related use of the Internet. This work encompasses decision support, business intelligence, data mining, data warehousing, and statistics. He designed the Census 2000 analysis system and led the programming team at the US Census Bureau.
Seth is the founder of Alta Plana, a consulting company focused on data management and decision support and related Internet applications. He is also contributing editor and decision-support columnist for Intelligent Enterprise magazine and writes and speaks on technology trends, business intelligence, data management and analysis systems, and other topics.
His professional affiliations include the American Statistical Association, the Association for Computing Machinery, Computer Professionals for Social Responsibility, and the Council of Professional Associations on Federal Statistics. Seth earned a master's in mathematics at the University of Washington in Seattle and a bachelor's in mathematics and philosophy at Wesleyan University in Middletown, Connecticut. He resides in Takoma Park, Maryland near Washington D.C. To contact Seth Grimes, email grimes@altaplana.com or call 301-873-8225.
John Wallace is a principal consultant and founder of Business Researchers, Inc., a Data Mining consultancy specializing in:
- Database Marketing
- Text Mining
- Predictive & Descriptive Modeling
- Ad Hoc Analysis
- Application Development
John has a strong track record in applying data mining techniques to business problems. His work has included designing applications to analyze customer profitability, customer loyalty, product profitability and product quality. His experience covers the automotive, ISP, grocery, wireless, retail, PC/server and consumer software industries. He has successfully managed application development teams, created system architecture, developed new analytical methodologies and estimated complex models. He has leveraged techniques including text mining, response modeling, segmentation and survival data mining.
John received an MBA in Decision Science from George Washington University. He can be contacted at jwallace@businessresearchers.com.
