Ticker - September/October 2008 - (Page 9)

By Gina Cerami High-value information assets across the Web continue to grow and change at an alarming rate. Those financial firms equipped with the tools to transform the infinite Web into a focused set of actionable, highly personalized and differentiated data will be the clear winners in this turbulent and competitive market. We are all being challenged to work smarter, not harder. We need to employ tools that generate amazing ROI, provide substantial costs savings and deliver great value while using fewer resources. Deploying an Agent-based technology that requires no programming, removes implementation burdens from IT, and requires no additional hardware costs may be one of the most efficient technology investments you can make. Whether you are an investment banker, a hedge fund manager, analyst or other financial services professional that relies on unique and insightful research, machine intelligent Agents can speed and streamline efforts for mining and retrieving high-value data in a variety of ways. An Agent-based technology amplifies productivity and enables you to: • Analyze Fundamental Trends – Leverage the Web by training Agents to deliver precise data points from sources, and develop a trend analysis of unique data points to gain a proprietary advantage. • Monitor Global & Local News – Deploy Agents to perform custom persistent searches of key companies or products across global and local news sources. • Update Excel Spreadsheets with Near Real-time Data – Train Agents to automatically and repeatedly pull data from the Web to update comp sheets, financial models, and other Excel spreadsheets. New Web Research Delivers Proprietary Trading Insights In the fiercely competitive financial world, you need to deliver proprietary trading insights and anticipate market trends as part of your day-to-day routine. The ability to quickly train and deploy a workforce that can act on your behalf 24 x 7 is an attractive lure. Agents make it easy to build unique time-series data sets and collect information for analysis. Instead of having just the most recent information and data from a Web site, you can build up a history of data points that can be fed directly into proprietary modeling or analysis tools. Agents understand many types of data including Homebuilding - U.S. Inventory Ticker Coverage DHI; 27.77% CTX; 11.37% BZH; 6.39% AVTR; 0.25% ATPTZ.OB; 2.65% LEN; 9.87% MHO; 7.03% OHB; 1.6% PHM; 8.31% TOL; 7.24% SPF; 9.11% RYL; 8.38% This market share analysis is generated by intelligent Agents that collect approximately 20,000 data points from 13 U.S. Homebuilders every 24 hours. The data behind the graph can be easily downloaded to Excel and fed into proprietary modeling or analysis tools. pricing, inventory, pipeline, regulatory issues, product SKUs, clinical trial status, company filings, press releases, blogs, and more. Agents can collect data sets to help you compare and analyze competitive pricing, search advertising, trending, listings, corporate job postings, and a variety of other collections. Find out how intelligent software Agents can amplify your intelligence mining and analysis efforts to give you a competitive edge. Gina Cerami is the Director of Marketing at Connotate (www.connotate.com). For more information on deploying intelligent Agents to support your financial services needs, contact Connotate at 732-296-8844. WSTA® Ticker - September/October 2008 9 http://www.connotate.com?WebT=WSTA

Table of Contents Feed for the Digital Edition of Ticker - September/October 2008

Ticker - September/October 2008 Contents What's New: Companies, Products & Services ROI-Rich Intelligent Agents Automate Data Mining & Analysis for Financial Services Search Driven User Interaction Management: Orchestrating User Experience

Ticker - September/October 2008

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