Boston KM Forum

Friday, November 6, 2009 at 7:30 - 9:30 a.m. Rebecca’s at Reservoir Place, Trapelo Road, Waltham.

TOPIC:  Our discussion will focus on tools and techniques employed by participants for gaining new insights by extracting, manipulating and analyzing all types of information resources at their disposal. Here are some simple definitions to begin the discussion:

•    Text Analytics: Text Data that helps track business trends; Records that describe part of a larger domain sophisticated version of data.
•    BI (Business Intelligence):Technologies that gather, store, analyze and make accessible data to help enterprise users make better business decisions. It includes decision support, query and reporting, online analytical processing, statistical analysis, forecasting and data mining. Viewed by some as the umbrella for other technologies including text mining and analytics.
•    Data Mining: Computerized process for extracting content from structured repositories
•    Text Mining: Extracting interesting and non-trivial information and knowledge from unstructured text. Interdisciplinary field that draws upon: Information retrieval, Data mining, Machine learning, Statistics, Fact extraction, Computational linguistics

Readings:

Executive Summary: ForeTell®: The Future of Business Intelligence by DecisionPath

5 Tips for Using Predictive Analytics Software. Predictive analytics can help you make better business decisions, but only if you understand its limitations, by David Carr.

Text Analytics Takes Business Insight To New Depths; An Obscure Technology Has Found Its Killer App
by Leslie Owens

Why Will Analytics Be the Next Competitive Edge? , by Gary Cokins 11/12/2009 Information Management.
November 12, 2009 [Once a “nice-to-have,” applying analytics is now mission-critical]
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