Sinequa to Present on How to Include Unstructured Data in BI & Analytics Projects during Gartner BI & Analytics Summit
LONDON – February 24, 2016 – Sinequa, a leader in real-time Big Data search and analytics, today announced that it will be a featured speaker at the Gartner BI & Analytics Summit on Monday, February 29 at the InterContinental London. In the session, “Widen Your Scope: Include Unstructured Data in BI & Analytics,” Sinequa CMO Hans-Josef Jeanrond will discuss how to go beyond “classic” BI to achieve substantial ROI by gaining insights from massive amounts of data in complex environments.
“During the Gartner BI & Analytics Summit we will present details from a number of projects performed by Global 2000 companies showing how they overcame the challenge of integrating unstructured data into their analytics projects,” said Jeanrond. “Real world examples will showcase how these organizations sped R&D processes, dramatically improving time to market and customer service while reducing overall project costs.”
Sinequa will also be showcasing the Sinequa Big Data Search & Analytics Platform in booth #S4 during the event. By leveraging advanced natural language processing along with transparent structured and unstructured data indexing, Sinequa’s platform enables customers to embark on ambitious big data projects, achieve critical in-depth content analytics and establish an extremely agile development environment for Search Based Applications (SBA). Global enterprises, including Airbus, AstraZeneca, Atos, Biogen, ENGIE, Total and Siemens have all trusted Sinequa to harness big data to find relevant insight to move business forward.
The Gartner Business Intelligent & Analytics Summit 2016 will offer insights into how to gain the analytics leadership that organizations need to empower users to be autonomous without creating a state of disorder – Empowerment without Anarchy. To be held February 29 through March 1, the event will feature sessions to help organizations learn how to develop skilled analytics leaders in every area of the business and make self-service analytics a reality across the organization.
