In part seven of this series, we looked at the second key stage within the analytics lifecycle (Analyze), which focuses on analyzing the data and identifying the insights most likely to create a positive business impact. In part eight we will examine recommendations and practical actions for the
There is no time to waste when working underground. Joy Global is constantly monitoring undergound conditions in order to adjust their course of action. A few minutes can make all the difference. With IBM they are gathering, storing and analyzing data faster with real-time insights in context.
Telecommunications companies are losing five percent of their revenue each year to fraud. Fraudsters are after free smartphones, long distance, premium services and confidential customer information resulting in $35 to $40 billion in losses from fraud worldwide.
Detecting and preventing fraud is
“Let’s say there was a magical crystal ball to predict the future,” says John Choi, director of product management and strategy for the IBM Big Data portfolio. “If you could look into that crystal ball, you’d know a lot more about your customers.” That kind of end-to-end predictive analytics
It’s that time of the year again: when fans begin lining up at the supermarkets to plan football weekend festivities. Let's take a look at how can predictive analytics be used in analyzing everything from performance to parking at the big event.
IBM Predictive Maintenance and Quality offers a pre-configured solution with data management and analytic capabilities that help you realize these benefits. Technological advances in monitoring sensors and device communication, along with IBM enhancements in data management, data integration and
Analytics can deliver significant benefits, and a significant competitive advantage, if used together with a clear vision and an aligned business strategy. As markets evolve and customer behavior changes, the analytical models and the way analytics is being used needs to adapt and change.
IBM recognizes that there is a convergence of cloud technologies, new design paradigms and advances in analytics. Enhancements to IBM business intelligence, predictive analytics, performance management and risk analytics products will mean that data-driven decisions can now be an essential daily
Nancy Bachrach, senior manager of registration for the Girl Scouts of Eastern PA, declared that predictive analytics gave the organization the “opportunity to base decisions on actual data.” Using this data they were able to better understand their customers: girl scouts.
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