No one can really know the future. But by looking to the past and tapping into operational insights, we can gather good ideas for what’s coming. Take a look at how oil and gas industry organizations apply predictive analytics to work to improve productivity, efficiency and output.
Although the weather can frequently be the go-to topic when engaging in small talk, it is very much intertwined with deeper discussions around the environment, global warming, and reducing carbon emissions. A rising tide of sensor-derived, Internet of Things data is now fueling a worldwide focus on
We all get them. Irritating or irrelevant offers from retailers and organizations seem to multiply on our devices and in our mailboxes. Although these offers were generated from a variety of data-gathering methods, their results often tend to be highly annoying, grossly off target or darkly amusing
Retailers may struggle against low margins and resource scarcity, but that can’t keep them away from the National Retail Federation’s BIG Show. Learn how attending this year’s BIG Show can help you drive your retail business to new heights—and find out why thousands of other people from around the
What can predictive analytics do for a sports club? Behavior-based predictive analytics technologies provided by IBM are poised to help the Ottawa Senators professional hockey club understand better than ever before the individual consumers who make up its fan base.
When it comes to retail product placement, stores have traditionally relied on historical sales trends, seasonal shopping patterns and garmentos' gut instincts to determine inventory levels and merchandising strategies. Now, merchants are taking a more scientific, data-driven approach to managing
When it comes to customer relationships, no business wants to be caught by surprise. This is why organizations that consistently find themselves surprised by their customers should seek new data solutions to reduce unpredictability.
Silent customers are the bane of communications service providers (CSPs). They never call when there’s a problem, they never respond to customer satisfaction surveys and then they unexpectedly cancel their service. If silent customer churn impacts your CSP organization, take a look at a predictive
Retail data is no longer simply a way to keep track of what is selling and what isn't. Forward-looking retailers use their data to enhance their customers' shopping experience and predict what it is their shoppers are looking for.
Listen to Kim Minor and Andy Rice discuss how combining analytics and weather data could transform the insurance industry, and learn how a timely alert from your insurance company could help you protect your family and assets from damaging weather events.
Do you strengthen your relationships with your customers by plugging them into your data? In this webcast, learn how you can use your data to disrupt your marketplace and engage your customers over the long term.
With the help of IBM and The Weather Company, insurers are giving their customers a safe port in the storm. Learn more about how you can use weather analytics to show your policyholders that you mean business about the weather.