TIBCO Launches Spotfire 7 With “Smart” Analytics

TIBCO Software Inc., a global leader in infrastructure and business intelligence software, today announced the general availability of TIBCO Spotfire® 7, the most powerful version of its industry-leading analytics and data visualization platform.

TIBCO and Lavastorm Analytics Announce Predictive Analytics Environment

Lavastorm Analytics, a leading agile data management and analytics software company, and TIBCO Software Inc., a global leader in infrastructure and business intelligence software, announced extended predictive analytics functionality, powered by the TIBCO® Enterprise Runtime for R (TERR) engine embedded within Lavastorm Analytics’ market-leading Data Management and Analytics platform.

TIBCO Jaspersoft Launches v6.0

TIBCO Software Inc. (NASDAQ: TIBX), a global leader in infrastructure and business intelligence software, today announced that it has released TIBCO Jaspersoft® 6.

SoftServe Collaborates with TIBCO to Build BI Solution

SoftServe, Inc., a leading global software application development and consulting company, partnered with TIBCO Software Inc. (NASDAQ: TIBX) to develop a reporting and analytics solution on Amazon Web Services (AWS) for a fast-growing company.

TIBCO Unveils Vision for Business Analytics

Tibco today unveiled its vision for the TIBCO Analytics platform, and previewed new solutions and updates for TIBCO Spotfire® and TIBCO Jaspersoft®.

TIBCO Announces Open Source Version of TIBCO Jaspersoft 5.6

TIBCO Software Inc. (NASDAQ: TIBX) a global leader in infrastructure and business intelligence software, has announced the open source release of version 5.6 of the company’s award-winning TIBCO Jaspersoft® business intelligence platform,

Rail Europe 4A Chooses TIBCO Jaspersoft to Centralize Reporting and Analytics Needs

TIBCO Software Inc. (NASDAQ: TIBX) today announced that it has been chosen by Rail Europe 4A (RE4A), a worldwide leader in the distribution of European rail products, to provide centralized and reliable data analytics and automated reporting capabilities.

Predictive Modeling and Production Deployment

Using predictive analytics involves understanding and preparing the data, defining the predictive model, and following the predictive process. Predictive models can assume many shapes and sizes, depending on their complexity and the application for which they are designed. The first step is to understand what questions you are trying to answer for your organization.

Data Access and Exploratory Data Analysis

Enterprise data assets are what feed the predictive analytic process, and any tool must facilitate easy integration with all the different types data sources required to answer critical business questions. Robust predictive analytics needs to access analytical and relational databases, OLAP cubes, flat files, and enterprise applications.

Predictive Analytics Software and R

There is a vast array of predictive analytics tools, but not all are created equal. Software differs widely in terms of capability and usability — not all solutions can address all types of advanced analytics needs. There are different classes of analytics users — some need to build statistical models, others just need to use them.