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.

If Telling Stories with Data Is Important, then Why Aren’t We Good at It?

People who love data and analytics also have to be people who love telling stories and tell them well. That’s according to Tom Davenport, independent senior...

The (Self-Service) Revolution Will Be Analyzed

The revolution cometh We're in the middle of a self-service revolution across all aspects of our lives, but... fortunately... those distinctly user-unfriendly self-service systems that...

What It Takes to Make Smart Home Truly Smart

DigitalSTROM is the forerunner of making a house smart, and smarter. A truly automated smart home not only provides comfort and convenience, but also improves...

4 Steps to Achieve Data Agility

To achieve data agility—how quickly you can derive value from the piles of data and how fast you can turn that data in actionable...

Docker Containers in the TIBCO Universe

Docker is one of the hottest technologies right now. Many TIBCO customers already ask how they can leverage it and what TIBCO’s strategy is....

Big Bigger Biggest Data in Oil & Gas

For decades the oil & gas industries have used advanced analytics to attempt to understand the earth’s subsurface. And now with the advent of...

Big Bigger Biggest Data in Oil & Gas

For decades the oil & gas industries have used advanced analytics to attempt to understand the earth’s subsurface. And now with the advent of...
Tips for Better Content Marketing Strategy with Data Visualization

Tips for Better Content Marketing Strategy with Data Visualization

In a world driven by data, marketers are finding new and better ways to present data to make it more visually appealing—and this data...

How SumAll.org Puts Analytics in Good Hands

The right data can help nonprofits in two major ways. It can assist with funding by illustrating to people how much help is needed,...

Big Data’s Companion: Wide Data

If you’ve worked with Big Data and analytics for long, you’re probably aware of the challenges of mixing structured and unstructured data. However, there...