The financial services industry is an ever-evolving whirlwind of information. Stock prices, trades and analyst ratings are critical components in organizations’ ability to be successful within this ultra-competitive market. Timing is everything in the financial world as organizations that find themselves unable to keep up with the unyielding data flow run the risk of making critical decisions based on outdated information – an action that could irrevocably tarnish their firm’s brand.
FactSet, a company that gathers and publishes company and financial data from around the globe since 1978, collects data on tens of thousands of private and public entities and delivers the information to over 48,000 users of its software products, data and publications. While most internal market intelligence operations monitor a limited set of companies or individuals that are of interest to their organization, FactSet must monitor every source, including web sites, traditional media, government and registries, for every company.
FactSet constantly needs to deliver a consistent, reliable, high-quality data product at high volume. For that reason, it recently looked for a new way to automate its data gathering process to keep up with the growth and quick-changing flood of information on the Web.
FactSet needed to grab changes to Web sites as soon as they occurred, but at the scale at which it was operating, it only wanted substantive, not cosmetic, changes; otherwise it would be inundated by non-substantive changes in layout or format. After considering a number of solutions, FactSet chose a solution that enables automated Web site monitoring, data gathering and alerts to changes in data as they occur. FactSet analysts are able to calibrate the tool to gather specific data on any Web site, using a simple interface that requires no coding.
FactSet was able to leverage the Web data monitoring and extraction tool to tremendously increase the number of companies it was able to monitor with the same number of people. The percentage of valid hits increased from 35% to over 90% because it was able to aggregate only hits that were important. The immediacy of the information — changes in Web sites were detected as they were posted — enabled FactSet to deliver fresher information to its clientele. Information collection has become a continuous process for each site, not just an annual update. More importantly, FactSet's team could spend more time on high-value operations like research and quality assurance rather than repetitive, time-consuming collection.
In summary, FactSet finds that the investment in Web data extraction and monitoring tools have been worthwhile. FactSet has been able to deliver a timelier, greatly expanded, consistent, reliable and high quality product to its customers without having to hire additional employees.
Gathering Information on a Global Scale
Other Posts by Gina Cerami
More Data, More Problems? Not for Thomson Reuters - November 3, 2011
The moderated business community for business intelligence, predictive analyics, and data professionals.
The Predictive Analytics in the Cloud Study is complete!
Register here to access the full results of this exclsuive study on Predictive Analytics and Cloud Technology including a whitepaper, 2 webinars, multiple podcasts and more!
Stephen Baker is the author of The Numerati & a journalist with 20 years of experience at BusinessWeek. More »
Paul Barsch directs professional services marketing programs for Teradata and has more than fifteen years of information... More »
Gary Cokins is an internationally recognized expert, speaker, and author. More »
Jill Dyché is an internationally recognized author, speaker, and business consultant. More »
Themos Kalafatis has worked as a consultant for Data Mining, Text Mining, Information Extraction and Data Quality for over a decade. More »
James Taylor is CEO and Principal Consultant at Decision Management Solutions and a leading expert in decision management. More »
SmartData Collective
- YOU
- Dean Abbott
- Teradata AusNZ
- Paul Barsch
- Meta S. Brown
- Jason Burke
- Gary Cokins
- Ted Cuzzillo
- Barry Devlin
- Chris Dixon
- Jill Dyché
- Timo Elliott
- Teradata EMEA
- Teradata Experts
- Michael Fauscette
- Bill Franks
- Bob Gourley
- Julie Hunt
- Doug Lautzenheiser
- Jack Mason
- Darryl McDonald
- Alex Olesker
- David Smith
- James Taylor
- Daniel Tunkelang
HR & Workforce Analytics Innovation Summit
When: Wed, 2012-05-23 08:00
Business Analytics Innovation Summit
When: Wed, 2012-05-23 08:00
Salford Analytics and Data Mining Conference
When: Thu, 2012-05-24 12:09
Information management and governance for the public services
When: Fri, 2012-05-25 08:00
Disruptive Technologies & Innovation Minds 2012
When: Mon, 2012-06-18 09:00
Advanced Analytics for Retail
When: Thu, 2012-06-21 08:00
Advanced Analytics for Consumer Goods
When: Thu, 2012-06-21 08:00
CIMI.Con Evolution 2012
When: Mon, 2012-06-25 08:00
Predictive Analytics World, June 25-26, 2012 in Chicago
When: Mon, 2012-06-25 09:00
Big Data for Enterprise USA 2012
When: Wed, 2012-06-27 08:00

About Social Media Today


