Sponsored by IBM
In this e-book, learn about predictive analytics software and why it’s getting increased attention from prospective users. Read about real-world predictive analytics projects and get expert advice on organizing a predictive analytics program and on developing and utilizing predictive models in business operations and more. Get examples of how successful companies are using predictive analytics in action as well as expert insight on the potential -- and pitfalls -- of using predictive analytics software. Access >>>
Table of contents
- Predictive analytics early adopters focus on individual customer analysis
- Data mining, predictive analytics: trends, benefits and challenges
- To be effective, predictive analytics software must be tied to action
- Using predictive analytics tools and setting up an analytics program
Premium Content for Free.
More Premium Content Accessible For Free
Predictive analytics capabilities allow for top-notch big data modeling
Building effective analytical models is a key facet of big data analytics applications -- though doing so is easier said than done.
This e-book ...
Market trends tell the future of predictive analytics deployments
Predictive analytics employs statistical or machine-learning models to discover patterns and relationships in data, thereby enabling the prediction ...
Machine data equals big value for analytics programs
Sensors capture large volumes of data about the operations of industrial equipment; similarly, log files gather huge amounts of information about ...