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.

How To Develop A Top-Notch Data Warehousing System

Unlike just a few years ago, each of us generates a “ton” of data every day. Almost everything we do generates date including surfing the...

3 Ways HR Analytics Can Boost the Bottom Line

Human resources touches every department across a company, and people are often a company’s most valuable – and expensive – asset. Why, then, do so...

Blame It on Ted

Imperfect data – A historic perspective Our world of computing in 1969 was very different from today. In 1969, Dr. E.F. (Ted) Codd published his...

Infographics Get Pinned on Pinterest

If you haven’t given much thought (yet) to Pinterest, that’s not surprising. Although the three-year-old social media site has become wildly popular over the past...

Are You Asking the Right Questions with Predictive Analytics?

Predictive analytics can help companies forecast business results with stunning accuracy – for example, how a particular group of customers might react to a targeted...

You Had Me at, “Would You Like a Grande Latte?”

My local Safeway isn’t what I would call a very modern store. And the employees are either high-school kids bagging groceries and collecting carts,...

From the Experts: 3 x 3 Tips for Implementing an Agile BI Strategy

Sometimes when you want answers to important questions you have to ask the people who’ve been there, done that. And that’s exactly what Michael Schmier...

Using Analytics to Stoke Innovation

Forward-thinking companies are gathering, analyzing and acting on information that’s coming to them from multiple inputs, including social, mobile, email, chat, call center, operational,...

Automate Risk Management with a Highly Secure IT Backbone

High performance, highly secure IT integration of business process systems is now becoming a requirement to compete. Without automated communication between disparate systems, a...

What Data Scientists Must Learn About Customers

2012 has been coined the year of the customer by experts in a number of industries. Because of this, companies are striving to become more...