Logi Analytics Introduces Logi Vision for HP Vertica

MCLEAN, Va., Aug. 12 — Logi Analytics, the analytics everywhere company, today introduced Logi Vision for HP Vertica, a fresh approach to data discovery that empowers every person in an organization to analyze, visualize and socialize insights culled from some of the largest data sets in the world. Previously, such insights were accessible only to a limited number of the most sophisticated analysts and data scientists.

Logi Vision re-imagines data discovery into a simple but smart analytical experience by building data science into the product to automatically model data, profile analytics, and recommend best-fit data visualizations to get insights faster. Now, Vision provides direct, native connectivity to HP Vertica, offering high-performance data discovery at scale. Logi Analytics is further committed to making the full range of analytic capabilities in HP Vertica available to unlock additional big data insights. And Vision lets business users collaborate with tagging, searching, notes, favorites and ranking to quickly socialize those insights for better and quicker business decisions throughout the organization.

“The only way to unlock the real potential of big data is to arm business users with the technology they need to freely analyze and share insights in growing mountains of data,” said Kevin Greene, vice president, business development and channels, Logi Analytics. “Together with HP Vertica, we are flipping the model from a data scientist-dependent approach to one where every member of an organization can look for answers to questions in HP Vertica and easily share their insights with their colleagues.”

With the introduction of Logi Vision for HP Vertica, HP Vertica is now integrated with the entire suite of Logi Analytics solutions, including Logi’s business information platform, Logi Info. Together, these products enable Logi Analytics and HP Vertica customers to address a broad range of use cases – including data discovery, dashboards and reports, and embedding analytics into operational business applications.