Introducing Angoss Version 10.3 Software Suite Release and KnowledgeENTERPRISE unveil

TORONTO, April 20, 2017 -- Angoss Software Corporation (Angoss) announces the release of version 10.3 Software Platform and the launch of KnowledgeENTERPRISE product for Big Data access, analytics, and visualization.

In version 10.3 Angoss has made significant user interface (UI) enhancements to its product suite: KnowledgeSEEKER™; KnowledgeSTUDIO™; KnowledgeENTERPRISE; KnowledgeREADER™; KnowledgeCORE™; and InsightOPTIMIZER™.  This new look and feel now provides users with a modern, intuitive, and easy-to-use software interface that further minimizes the learning curve, increases collaboration, and improves operational efficiencies.

Most importantly, with the rising demand for Big Data enabled data science platforms and noticeable enterprise IT trends, Angoss has launched its Big Data ready product, KnowledgeENTERPRISE.  Armed with Apache Spark technology and Angoss’ advanced data mining software capabilities, KnowledgeENTERPRISE gears its users with unprecedented access to analyze data within Big Data repositories like Hadoop HDFS, Amazon S3, Cassandra, etc. This all-encompassing software solution enables access to open source machine-learning libraries, Big Data technologies, collaboration and governance capabilities, comprehensive advanced analytics functionality, and numerous deployment options allowing users to overcome challenges in Big Data ingestion, access, and results interpretation.

With the launch of KnowledgeENTERPRISE, Angoss enables businesses to streamline their various analytics tools by providing companies with access to a single, fully-integrated and scalable Big Data application that not only considerably reduces infrastructure costs, resources, and maintenance but also enables its users to run all advanced analytics tasks in their Big Data frameworks.

Additionally, KnowledgeENTERPRISE boasts numerous collaboration functionalities such as an interactive UI, analytical flexibility which enables custom coding in Python, R, language of SAS, SQL and PMML, BI tool integration with Tableau and Qlik, automation, and governance features that help organizations institutionalize knowledge and promote collaboration across heterogeneous teams of different skills and tool requirements. These, along with comprehensive data mining capabilities, Big Data access enablement, and various deployment options make this enterprise platform a perfect choice for unifying infrastructure, technology, and data science teams within organizations.

“Enabling Big Data access and data insight discovery for our customers was the main driving force behind the design of KnowledgeENTERPRISE. Doing it with ease was the next,” said Vikram Gaitonde, Vice President of Product Management at Angoss. “We want our users to experience what it is to work with a single, user-friendly application that performs all advanced analytics and data processing in the customers’ big data environment. With our recent positioning as a ‘Leader’ in the Forrester Predictive Analytics and Machine Learning Wave we are well on our way to becoming your primary advanced analytics platform.”

About Angoss Software Corporation

Angoss is a global leader in delivering advanced analytics to businesses looking to improve performance across risk, marketing and sales. With a suite of big data analytics software solutions and consulting services, Angoss delivers powerful approaches that provide you with a competitive advantage by turning your information into actionable business decisions.

Many of the world’s leading organizations in financial services, insurance, retail and high tech rely on Angoss to grow revenue, increase sales productivity and improve marketing effectiveness while reducing risk and cost. Headquartered in Toronto, Canada, with offices in the United States, United Kingdom and Singapore, Angoss serves customers in over 30 countries worldwide. For more information, visit the www.angoss.com.

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Media Contact: 
Joanna Balkowski
Senior Product Marketing Manager
416-593-2439
[email protected]