Enterprise, Predictive, and Visual Analytics

Many organizations have been using analytics to improve their business operations. From telecommunications companies using analytics in their customer service programs to pharmaceutical companies creating systems for personalized medicine; data analysis is proving invaluable to making the correct business and scientific decisions.  Unfortunately, in many situations BI platforms are becoming an obstacle to success.  BI implementations have become long, slow and sometimes expensive projects.

With InforSense’s next generation BI platform your organization can quickly create robust Enterprise Analytics Mashups.  “Mashup” technology can be used to provide agile access to nearly any data inside or outside an organization, to perform nearly any analysis including predictive analytics and visual analytics to visualize or present the data in a variety of ways. In addition, it is entirely complementary to your existing BI infrastructure investments, adding value and making your organization more competitive.

The InforSense platform is based on a Service Oriented Architecture (SOA) methodology.  Every analysis created using InforSense can be deployed as a service and any service ranging from Google maps to RSS feeds can be incorporated into your analytical applications.   The results can be easily displayed in InforSense VisualSense for interactive visualization and reporting or they can be easily embedded into web portals or existing applications such as Customer Relationship Management (CRM) systems.

InforSense’s enterprise analytic mashup platform provides scalable services to build, deploy and embed analytical applications. The InforSense platform enables:

• Rapid development of analytical applications to enable your analytics strategy to change with your business
• Integration of data and services from heterogeneous sources and architectures so that analytics can incorporate the most appropriate information
• Repeatable, auditable analytical processes to ensure decisions are being made consistently and systematically
• Domain specific extensions to enable the best analytics methodology for specific types of data or industry to be used; this includes domain specific components for Text, Image, Genetics, Cheminformatics, Bioinformatics and Patient-based analytics
• Embedding of applications into service oriented architectures, Portals, Dashboards, Business Process Management systems, Business Rules Engines, CRM systems and your own applications to enable the delivery of analytics to all users