Angoss Adds Real-Time Analytics Capability
Delivers cost effective real-time scoring for SMB enterprises
TORONTO, March 26, 2013 /CNW/ - Angoss Software Corporation (Angoss) (TSX-V: ANC) today announced the addition of real-time scoring as a powerful cloud service that delivers intelligent, real-time scores or recommendations for businesses looking to embed predictive analytics into business operations.
The real-time scoring cloud service integrates with any operational system to provide on-demand scores, decisions models or recommendations as well as apply real-time strategic actions or treatments. It allows for ease of use in both applying models in real-time and updating models as new information develops.
The cloud service both deploys and manages predictive models built in Angoss KnowledgeSTUDIO™ or other popular statistical programs such as R and SAS® through Predictive Model Markup Language (PMML). Organizations also gain efficiencies by deploying Strategy Tree treatments in real-time with Angoss StrategyBUILDER™.
Real-Time Scoring in Action
Angoss' real-time scoring cloud service can be used for online product recommendations, targeted marketing treatments, cross sell and up-sell opportunities, credit fraud detection and loss, and next sales activity, among others.
"Real-time analytics is a top trend in today's data-driven business culture and now Angoss makes it affordable for SMB organizations to compete against their larger competitors," remarked Martin Galligan, President and CEO of Angoss. "Our real-time scoring service levels the playing field for companies who wish to improve business performance with predictive analytics without investing heavily in expensive IT infrastructure, and by deploying predictive models developed in popular statistical programs such as R."
Organizations looking to leverage real-time scoring and recommendations benefit from:
- Automated decision making during customer interactions increases the accuracy and speed of decisions—improving productivity and business agility.
- Automated predictive strategy deployment reduces the time to deploy intelligent actions and business strategies for immediate results.
- On-demand scoring and segmentation provide instantaneous, actionable recommendations to support improved business performance.
Key Features: Real-Time Scoring
- API support for SOAP, REST and XML/JSON allows for simple integration with any operational systems such as line of business applications, customer relationship management, call center systems, website etcetera.
- Flexible, standard model deployment includes the ability to deploy Angoss KnowledgeSTUDIO models, or models developed in other statistical programs such as R and SAS via PMML.
- Advanced model support includes the most popular models: Logistic Regression, Linear Regression, Decision Trees, Strategy Trees, Market Basket Analysis, Scorecards, Neural Networks and Cluster Analysis.
- Centralized, remote model management and deployment lowers upfront IT infrastructure costs and demand on internal resources.
About Angoss Software Corporation
Angoss is a global leader in delivering predictive analytics to businesses looking to improve performance across sales, marketing and risk. With a suite of desktop, client-server and big data analytics software products and loud solutions, Angoss delivers powerful approaches to turn information into actionable business decisions and competitive advantage. Angoss software products and solutions are user-friendly and agile, making predictive analytics accessible and easy to use. Many of the world's leading financial services, insurance, retail, health care and information communication and technology organizations use Angoss predictive analytics software products and solutions to grow revenue, increase sales productivity and improve marketing effectiveness while reducing risk and cost. Headquartered in Toronto, Canada, Angoss has offices in the United States and United Kingdom. For more information, visit www.angoss.com.
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SOURCE: ANGOSS Software Corporation
Contact:
Michelle Corsano
Vice President, Marketing
416-593-2429
[email protected]
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