Analytics

Analytics employs predictive modeling, statistical methods, machine learning, and process automation techniques to analyze business information. Follow current analytics trends on the TIBCO Blog.

Build Your Own Interface with JavaScript APIs

In the modern world of ever-changing Fast Data, users need an information delivery platform that’s nimble and responsive enough to keep pace with the...
Data Governance: Creating Uniformity, Transparency, and Knowledge for All

Data Governance: Creating Uniformity, Transparency, and Knowledge for All

Analytics deliver the most value when the data supporting it is timely, accurate, and consistently defined. In order for data to meet those criteria,...
Predictive Analytics: Do You See Tomorrow?

Predictive Analytics: Do You See Tomorrow?

Do you want to know what the future will bring? Predicting future business outcomes, once thought to be a luxury known only to data scientists,...

House of Cards: The Thrill of Fast Data

When video-streaming service Netflix released political thriller House of Cards in February 2013, executives already knew that millions around the world would be cancelling...

Anatomy of a Decision: Insert Analytics into Your Daily Workflow to Increase User Adoption

Research reveals that companies with strategies for a pervasive analytics culture generate better-than-average business returns. According to a 2014 study of 1,500 executives conducted by Boston...

Get Your First Taste of Live Datamart 2.0

TIBCO recently launched Live Datamart 2.0, the industry's first data mart for Fast Data, that helps businesses capture value from streaming data and respond to...
How Self-Service Analytics can empower your Organization

How Self-Service Analytics Can Empower Your Organization

Executives and employees alike are demanding self-service analytics—access to data and analytics software—to manipulate and explore data, and generate their own insights. However, most...

How to Build and Share Richer and More Accurate Predictive Analytic Models

The R language was made for predictive analytics; however, it still has some challenges. When doing sophisticated analysis with R, scaling your workload and...
How to Build and Share Richer and More Accurate Predictive Analytic Models

How to Build and Share Richer and More Accurate Predictive Analytic Models

The R language was made for predictive analytics; however, it still has some challenges. When doing sophisticated analysis with R, scaling your workload and...
How Analytics Facilitates Fast Data

Fast Data: Access the Right Data at the Right Time

Businesses generate and collect huge volumes of complex data from a variety of sources: customer data, market data, supply-chain information, operational data, financial information,...