Press Release (ePRNews.com) - SANTA MONICA, Calif. - Oct 30, 2019 - Athena L.L.C., a Santa Monica-based Business Intelligence (“BI”) venture, today announced the launch of Athena®, a next-generation BI and self-service data visualization platform. Athena’s analytics are augmented with the Real-Time Adaptive (Data) Mining “RTAM” engine, patented by Rule 14, an artificial intelligence company.
By leveraging the RTAM engine, Athena users gain access to AI-powered insights immediately, without having to depend on a data scientist. After the user defines a topic of interest, the RTAM engine automatically queries potentially relevant open and proprietary data channels, in combination with company data, and projects actionable insights, such as exceptions, links and predictions in data that are relevant to users without requiring them to build models or write algorithms.
Simple Data Exploration and Aggregation with Formulaic Transformation
Users can effortlessly explore their data before aggregating from disparate silos into a centralized data warehouse. Furthermore, users are able to transform data formulaically into powerful data objects for subsequent dashboarding.
Interactive Visualizations, Enhanced Data Discovery and Reporting Automation
Athena’s diverse set of charts, tables, gauges and industry-specific dashboards enable users to quickly create interactive reports that make it easy to illuminate critical information. In addition, users can drill down into detail without creating additional reports by restacking dashboard data on-the-fly. Users can also set thresholds or create events that result in alerts delivered over several channels to strategically inform key personnel of timely information.
Athena offers rapid deployment of its intuitive dashboards into third party applications and websites via iFrame and API integration, enabling users to seamlessly embed analytical content into their business processes.
Enterprise-Class Governance and Security with Flexible Deployment Options
Athena’s architecture offers users new capabilities for governance and control to support distributed environments with enterprise-level security frameworks and can be deployed in the cloud or on-premise.
Athena’s product manager, Mina Lamey, remarked on the platform release: “Athena is a tremendous BI tool, with a broad set of useful features designed into a clean and intuitive interface that enables non-technical and technical users to explore their data, create smart visualizations and produce reports.”
“We are excited to announce the release of the Athena platform. We offer a solution that will enable companies to easily aggregate their data and automate the generation of actionable insights and alerts. Athena already has over 1,000 users on the platform from several industries including healthcare, banking, insurance and security,” said Jito Chadha, CEO of Athena.
With an increasingly competitive BI space that includes the likes of heavyweights Tableau, Domo, Qlik, Athena’s RTAM engine goes one step further to offer unmatched BI insights to its users.
About Athena L.L.C.
Athena is a next-generation business intelligence company focused on delivering reporting automation for data-driven companies using smart visualizations augmented with machine learning analytics. www.athena.global
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About Rule 14 LLC
Rule 14 LLC is a leading AI company focused on applying new approaches to uncover patterns and extract valuable intelligence using its patented Real-Time Adaptive Data mining technology (Patent # US 10,114,870) hosted on the Rule 14 platform. Rule 14 is backed by HGM, a technology-focused, private equity/venture capital fund based out of Santa Monica.
About HandsOn Global Management
Headquartered in Santa Monica, California, HGM is a family office that holds controlling interests in technology-enabled service companies, leverages the operating experience of its partners and complements those investments with its ownership of AI, FinTech, Collaboration Tech, InsurTech and HealthTech platforms. For more information, please visit www.hgmfund.com. Source :