Interactive Data Works Smarter Not Harder With Intelligent

Interactive Data Works Smarter, Not Harder With Intelligent Agents Michael Hunziker Interactive Data Director Reference Data Operations Matt Jacobson Connotate VP, Client Services

Agenda • Introductions • Interactive Data Works Smarter • Connotate Agent Community GEN 2 Ø Software demonstartion www. connotate. com

While the World. Wide. Web provides the greatest source of information ever assembled… www. connotate. com Copyright © 2009 Connotate Technologies

…and individual corporations may contain more than 10, 000 highly valuable but disparate data sources www. connotate. com Copyright © 2009 Connotate Technologies

Finding It, Collecting It, and Making Sense of It is a huge manual process 25% to 45% of one’s time www. connotate. com Copyright © 2009 Connotate Technologies

Connotate changes all that www. connotate. com Copyright © 2009 Connotate Technologies

About Connotate • Strong Foundation Ø Ø DARPA Funded Established 2000 Goldman Sachs Lead Investor Marquee Customers • Substantial Patented Technology Ø Covering the application of machine intelligence to the Web Ø Awards include KMWorld Awards and SIIA • Key Industries Ø Publishing & Market Data Ø Financial Services Ø Insurance & Healthcare Ø Government • Competencies Ø Business Intelligence Ø Research & Analysis Ø Content & Data Aggregation Ø Information Management www. connotate. com

Working Smarter 5 Examples Copyright © 2009 Connotate Technologies

• A leading global provider of financial market data, analytics and related services to financial institutions, active traders and individual investors. • We supply real-time market data, time-sensitive pricing, evaluations and reference data for millions of securities traded around the world, including hard-to-value instruments. Ø Pricing for over 6, 000 securities • Many of the world's best-known financial service and software companies subscribe to the Company's services in support of their trading, analysis, portfolio management and valuation activities. • 2, 300 employees • IDC on NYSE www. connotate. com

i. Shares Collection Problems www. connotate. com

i. Shares Collection Problems • Data team manually navigates i. Shares. com for issue cap data on over 175 tickers • To determine new issue cap values, the data team manually compared current issue cap values to previous day’s values • Collected and verified data was manually entered, resulting in data discrepancies • It took an average of 90 minutes, daily, to manually process this site www. connotate. com

i. Shares Connotate Solution • An Agent was created to scan the site for changes on tickers and issue cap amounts • The Agent returns only those items that are new or have changed since the last run • The data is delivered in Excel, which allows the team to load the data into Analystics • By using the Agent, this process is now completed in under 10 minutes www. connotate. com

Eurex Collection Problems www. connotate. com

Eurex Collection Problems • Eurex is a news site • To find stories relevant to the corporate action team, data collectors manually searched for key words by reading multiple stories (needle in a haystack) • It took the data team a total of 120 minutes per day trying to identify relevant stories www. connotate. com

Eurex Connotate Solution • An Agent was created to automatically pull every news story on the site • Using Connotates filter skill, the data team now receives relevant stories saving 100 minutes of collection time daily www. connotate. com

Spider ETF Collection Problems • Data teams manually entered a list of nearly 70 tickers to pull in price changes • The prices were then manually typed into a spreadsheet • This task took up to 90 minutes a day www. connotate. com

Spider ETF Connotate Solution • We were able to build an agent to monitor the site for price changes • The changes are delivered in a spreadsheet • Using the Connotate, we were able to feed the Agent the list of tickers we were interested in. Result is a savings of 70 minutes, daily www. connotate. com

Conti Collection Problem • Data from Conti is found within zip files • The zip files contain 15 spreadsheets • From each of the 15 spreadsheets, only one block of the data found is required • The data team copied and pasted this block into one main sheet • This made the collection process cumbersome, messy, and time consuming. An average of 50 minutes, daily www. connotate. com

Conti Connotate Solution • We converted the 15 Excel files into HTML • We used an Agent to extract the portion of the each sheet we needed • Since all sheets had common schema elements, we were able to deliver the results to one database table • A spreadsheet connects to the Conti table allowing users to verify the data before loading • Using the Agent, the data team can now save the entire collection time www. connotate. com

Conti Connotate Solution www. connotate. com

clearstream Collection Problems www. connotate. com

clearstream Collection Problems www. connotate. com

clearstream Collection Problems • Manual process for 500 companies daily Ø Enter each ISIN number Ø Get results page Ø Cut and paste data • Tedious process taking 300 minutes daily www. connotate. com

clearstream Conotate Solution • Feed 500 ISINs to an Agent • Agent delivers 80% of needed data directly to database • Effort is down to less than 60 minutes daily www. connotate. com

Agent Community GEN 2 Copyright © 2009 Connotate Technologies

Keeping Score? • 5 Agents • 2, 250 hours saved per year Ø 115% of an FTE in time savings • x 50 to account for total Agent population = ROI! www. connotate. com

Connotate Platform www. connotate. com Copyright © 2009 Connotate Technologies

Software Demonstration Copyright © 2009 Connotate Technologies

Case Study: Associated Press Connotate enables the AP to create new revenue streams Context The world’s oldest and largest news organization needed an innovative solution to enable their strategic initiative for a Digital Cooperative Original content spread across 1, 500 newspaper web sites in a multitude of formats Business Objectives Gather the content without imposing additional work on newspaper members Standardize formats and create a repository enriched for search engine optimization. Repository content sold to major sites and providers Solution Non-programmers build several hundred Agents to pull fresh, full news stories Results Partnership with Connotate New , material revenue stream Client relationship established 2007 Mobile News available on the i. Phone and the Nintendo Wii. Joint conference presentation, press release and public case study. Timely content is delivered in a consistent format to a central repository News shaping applications also created www. connotate. com Copyright © 2009 Connotate Technologies

“Connotate’s technology holds more promise than anything I’ve seen in the past five years” ”Make no mistake, Connotate’s Agent Community GEN 2 leapfrogs "traditional" search, and content aggregation is a mere component of its capabilities. Its growing list of customers, which currently includes primarily large publishers and financial services institutions, acknowledges that Connotate truly is delivering on the promise of the enterprise Semantic Web. “ Source: Hugh Mc. Kellar, KMWorld, Editor-in-Chief www. connotate. com

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