SAN CARLOS, Calif. — August 19, 2010 — MarkLogic Corporation, the company revolutionizing the way organizations leverage unstructured information, today announced that Ted Yarnell has joined the company as vice president of financial services. A proven industry veteran and pioneer, Yarnell brings more than 30 years of experience and expertise in enterprise software to MarkLogic.
Yarnell joined MarkLogic from ASSET4 AG, a company that provides investment research information on economic, environmental, social, and governance aspects of corporate performance. Prior to ASSET4 AG, he held a variety of senior sales, operations, and business development positions at organizations such as the system software company Applied Data Research (ADR) and Sybase, an enterprise and mobile software provider.
“We have seen increased interest from financial services organizations looking to create compelling next-generation content applications,” said Mark Tice, EVP of worldwide sales, MarkLogic Corporation. “We are delighted to have Ted join our team as we put a laser focus on helping financial services organizations with the challenges they face in managing unstructured information today. MarkLogic’s purpose-built database enables financial services companies to develop and deploy information applications at a fraction of the time and cost it takes with conventional approaches.”
“There is a tremendous need to manage the growth of unstructured information across the financial services industry,” said Yarnell. “The ability to manage complex contracts and identify risks, including counterparty exposure, is critical. MarkLogic enables the conception of an entirely new type of application which relates, analyzes, and presents information from sources which previously required manual analysis. MarkLogic solutions are key to the financial services industry going forward as this industry faces further regulatory reform.”
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.