Leonovus Announces National COVID-19 Data Lake and Analytics Solution

OTTAWA, June 03, 2020 (GLOBE NEWSWIRE) -- Leonovus Inc. ("Leonovus" or the "Company") (TSXV: LTV) proposes a countrywide real-time solution ("Consolidata"), which automatically captures and consolidates COVID-19 data from any data source into one data lake with an analytics engine. Public health, researchers, security and defence managers/experts need a national solution for consolidated and actionable information regarding COVID-19 hospitalizations, hotspots, testing, critical care, contact tracing/containment, research and treatment.

The software takes minutes to install alongside any system that currently creates relevant COVID-19 data. The policy engine moves data to the Consolidata repository hosted in a public cloud storage service (e.g. Amazon S3 or Microsoft Azure Blob Storage) or designated private data centre. The files are encrypted with additional data protection and archiving provided by Leonovus' Vault technology. The repository includes security and governance for controlled access to the data for any third-party analytics. Consolidata automatically feeds other data lakes based on approved policy.

The Company's FIPS 140-2 validated Smart Filer and Vault software, combined with location-based business intelligence software from Intouch Insight Inc., are the essential building blocks of the Consolidata solution. The solution accepts, transports, securely stores and analyzes data from any data source. Dashboards and analytics are available through any mobile or desktop device by authorized stakeholders. The system supports national, state/provincial/territorial, regional and facility hierarchies. 

Intouch Insight Inc. developed the system's location-based data capture, business intelligence tools and audit tools. Customizable dashboards, electronic forms, checklists, reports and email/SMS alerts give researchers and monitoring agencies a real-time vision into the salient data points. Intuitive drag-and-drop functionality accelerates set-up, and a user-friendly mobile-first design keeps information always 'at hand'. Natural language processing and sentiment analysis, text and speech analytics can organize unstructured data from text, audio and video.