Whether you call it stream computing, data in motion or real-time data, there’s no doubt that one of the most important aspects of big data is being able to capture, process and analyze data as it is happening. This is the velocity component of anybody’s definition of big data.
Unlike data that’s
Some companies in the media and entertainment industry are monitoring social media and integrating social data with other data to form elaborate predictive analytics models. Graeme Noseworthy (Twitter: @graemeknows) describes how they are doing this and what they've learned along the way, including
At the start of this year, I had discussed in my blog post “Is Customer the King? In Retail, Analytics Say ‘Yes’,” about how the retail industry can leverage big data insights to optimize and personalize customer interactions, improve customer lifetime value, improve customer retention and
Customer engagement has its roots in the space-time continuum. When you’re a business trying to build bonds of loyalty, experience and influence, you must collapse the distances that make these outcomes difficult to achieve.
Distances between people, places and things matter. People’s proximity—
The power of the connected consumer, digital influence and ubiquitous distribution are among the factors requiring that movie studios increasingly focus on delivering audience intelligence capabilities to enable the media enterprise business teams.
Swanie Tolentino, retail big data solutions & marketing leader at IBM, discusses key points from a research study titled, "The Real-world use of Big Data in Retail: How Innovative Retailers Extract Value from Uncertain Data." She also relates examples of how retailers are using big data and
We have grown accustomed to online retailers as they’ve tracked our online shopping activities from item to item and site to site. When we are online, we have come to expect the “if you like this, you might also like that” promotions, since they enhance our shopping experience. But now, when brick
Doug Stephens (@RetailProphet) is one of the world’s foremost retail industry futurists and author of the groundbreaking book, The Retail Revival: Re-Imagining Business for the New Age of Consumerism. His work and thinking have influenced many of North America’s best-known retailers, agencies and
After a successful promotion, a consumer products company minimizes OOS and maximizes sales
In April, I introduced a video demonstration called Optimizing Consumer Product Promotions Effectiveness with Analytics. In this demo we met Mary, the marketing brand manager for DuraBar, a nutritional bar
Retailers, it’s time to rethink loyalty programs; big data brings new ideas to light
I have worked for years on retail Point-of-Sale (POS) projects since the mid-’90s. I remember the early days of enabling loyalty card tracking and pushing out “buy-one, get-one” (BOGO) and various other discounts
One of the key best practices for successful implementation of a big data analytics solution is to validate the business use case for big data. It will help organization with two important aspects for success:
1. Keeping the scope limited
2. Helping to measure the success of a solution that
From a technology perspective, the average retail IT environment is typically struggling to maintain and provide value to its business users. PureData System for Analytics is the ticket to push the envelope on high value at a fraction of the cost.
“Moneyball” was the story of data-driven strategies being fully leveraged for success. It’s a phenomenon that’s moved beyond baseball. Now, we’re starting to see a similar trend at work with best-in-class CMOs, digital marketers, ad tech firms, marketing service providers and retail operations as
A key big data problem for business is one of linking up their disparate data silos with customer feedback data in order to identify the correlates of customer satisfaction and loyalty. By linking these sources, companies will be able to ask and answer bigger customer experience questions, embed