Predictive analytics that incorporates geospatial data can provide answers and insights not found in charts or tables, and it can be extremely helpful for organizations that want to answer the critical who, what and where questions for accurate forecasting.
The R language has become very popular with statisticians and data miners who use it to develop statistical software. But did you know that you can run R syntax from IBM SPSS Modeler and SPSS Statistics software? The combined strength of both helps address the needs of an organization that has few
IBM announced a number of new cloud offerings with the IBM Cloud Marketplace at the center. It is designed to be an easy access, technical marketplace for all users (business through IT and development) to access solutions and technologies on demand, with a growing number in the big data and
Do you know how many olives it takes to make that tablespoon of olive oil you just doused on your lunch salad? It takes a big pile of olives. More than 50.
Now, guess how much data it takes to grasp an accurate picture of market trends, emerging markets or potential security breaches; how much do
In this article, I will examine the prior probabilities that Stanislas Wawrinka, or a player with a similar seeding in the tournament, would go on to win the 2014 Australian Open. I will also review any prior matches similar to the final between Stanislas Wawrinka and Rafael Nadal to determine his
In my last post, we explored how audience data sources from inside and outside of the media organization can be “unified and utilized” for game-changing applications such as demand forecasting for Opening Weekend Box Office (OWBO) using big data analytics.
Our results showed that IBM achieved high
Data management has undergone significant change ever since the introduction of online transaction processing systems (OLTP) some 50 years ago. The level of change during this period, however, has not been uniform. There have been times when data management technologies and products became
IBM software and expertise analyzes more than 41 million data points to determine the top three "Keys to the Match" for Grand Slam tennis tournaments. That same predictive analytics technology is used every day by leading organizations to solve their most pressing business challenges.
Influence is hip. Any self-respecting career-oriented individual these days brags about their influence on socials, however that might be measured. And modern marketing professionals pride themselves on their ability to use the socials and other resources at their disposal to influence the new