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Statistics servicesWith TIBCO Spotfire Statistics Services, technical & business professionals have more confidence in their decisions by using the latest predictive analytics available in S+ and R without requiring expertise in statistics software. Statisticans/quants can build their models in S+ and/or R and centrally deploy them on the Spotfire Statistics Services. TIBCO Spotfire users, using Professional, Web Player or Enterprise Player, can then simply access the library of models residing in the Statistics Services and can employ them in their analyses. Computation occurs on the server, allowing for a single, powerful computational engine serving many clients. Organisations increase efficiency by giving decision makers
self-service access to easy-to-interpret analytic results through
Spotfire applications, while scarce statistical resources deploy and
control access to a centralized repository of R and S+ functions,
ensuring only the most statistically valid analytic methods are used. New Features: Cluster Management: Easily expand your analytic bandwidth by dynamically adding new nodes to your cluster, ensuring the availability, reliability, and scalability of your computational services. Queues and distributes analytics requests across the available servers in the cluster. Remote Script Execution: Write, test and debug scripts, then remotely execute them on Statistics Services using an interface in the Workbench or by using new API functions directly in your code. This enables you to offload computationally intensive scripts to the Server, or to analyze data accessible only on the server. Notification: Through the new Notification API, asynchronously notify clients of job completion, allowing clients to more reliably and efficiently track job status.
Integration Enhancements Execution of S+ and R programming language scripts on systems designed for compute-intensive tasks (ideal replacement for home-grown management of R clusters and grids) Seamless integration with Spotfire Professional, Enterprise and Web clients Rich APIs for integration into other business applications through Java, .NET and simple HTTP web services (XML and JSON); backwards-compatibility for applications built on Statistics Services 8.1 Scales from standalone servers to large clusters for load balancing and failover Scriptable installation/deployment of new cluster nodes Centralised S+ and R package repositories for uptime deployment of new analytic methods to all cluster nodes Zero-configuration installation makes it easy to get started Oracle and MS SQL Server support for enterprise-scale job
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