Five Minute Briefing - Information Management
June 26, 2012
Five Minute Briefing - Information Management: June 26, 2012. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.
Connotate, Inc., a provider of solutions that help organizations monitor and collect data and content from the web, is partnering with Digital Reasoning, which enables unstructured data analytics at scale, to provide a solution that creates actionable intelligence from fact-based analysis of big data.
Entrinsik, developer of Informer software, has announced the release of Informer Dashboards. With a 100% Java-driven architecture and browser-based interface, Informer Dashboards allow organizations to visualize real-time data from multiple sources on one screen to quickly identify actionable information and key trends. "Informer Dashboards is a completely new module that we have built from the ground up that allows customers to combine data that they pull from their own transactional systems by way of mostly Informer reports, as well as from non-JDBC, or non-SQL, or non-MultiValue data by way of web services or any other protocol, and bring this data into a dashboarding environment that in turn allows them to visualize that same data in a variety of ways," Brad Leupen, Entrinsik CTO tells DBTA.
IBM Unveils New Class of Analytics Software to Improve Decision Making
IBM has introduced a new analytics appliance that is intended to allow organizations to analyze up to 10 petabytes of data in minutes, helping them uncover patterns and trends from large data sets, while meeting compliance mandates. The new IBM Netezza High Capacity Appliance addresses a growing challenge: Banks, insurance companies, healthcare organizations and communications services providers are required by industry regulators to retain massive amounts of data - in some cases up to a decade. And, as data retention laws continue to evolve, organizations are faced with the need to store and analyze ever-expanding "big data" sets that may not be directly related to daily operations, yet still hold potential business value.