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.

Predictive Analytics for Insurers: Tackling the Seemingly Unpredictable

The insurance industry is facing myriad challenges – ranging from severe weather to aging populations and customers with ever-increasing customer service expectations. To combat this...

Data Analysis to Demonstrate Marketing Accountability

Accountability has been the most important issue facing marketing executives this year, according to the Association of National Advertisers (ANA). In fact, accountability and measurement have...

Vote for TIBCO Panels at South by Southwest 2014

TIBCO is lucky enough to have two opportunities to speak at South by Southwest (SXSW) 2014! With your votes, you can make sure TIBCO...

Big Data Analytics to Mitigate Risk in Banking, Insurance

In today's economy, financial services firms and insurance companies are forced to contend with heightened regulatory environments and a variety of market uncertainties. That's why...

Thinking Cloud Is a Magical Solution Will Leave You Worse Off

Forrester reports the average company has 9.3 different SaaS applications in use. Cloud is clearly thriving and will only continue to grow. Cloud as...

Fighting the Threshold Potential of Starting Anything Truly New

Bringing something new to the world is incredibly rewarding, yet also incredibly difficult. The process of getting there is not always so fun, especially...

Creating an Analytics-Driven Culture

One of the challenges that many CIOs face in driving adoption of analytics throughout different layers of the enterprise is demonstrating the business value...

Analytics: Catering to the 'Business Champion'

Just as every company has customers with unique needs and interests, there are also different classes of analytics users, each with its own set...

Analytics: Catering to the ‘Business Champion’

Just as every company has customers with unique needs and interests, there are also different classes of analytics users, each with its own set...

Needle in a Haystack: The Big Data Problem

Trying to find a specific piece of information in a mountain of Big Data can be like trying to find a needle in a...