Loyalty card programs give retailers valuable insights about their customers' purchasing patterns, providing marketing teams with a way to target promotions and purchasing departments with information on what keeps customers coming back for more.
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.
An IBM retail industry expert discusses the opportunities and challenges associated with improving the use and value of analytics at the IBM Insight 2015 conference—IBM’s largest annual data and analytics event.
The world’s a risky place. And yet the human race has become very adept at risk mitigation in the face of every nasty thing it might throw our way—or that we may hurl at each other. Discover how social sentiment, beliefs and practices that perpetuate environmental risk factors can play a
In retail, analyzing weather data patterns is about more than knowing if it's going to rain this weekend. Computing advances in the big data era have produced important weather-tracking developments that represent an important opportunity to improve sales and reduce waste.
Do your customers rely on your online shopping experience to beat the crowds on Black Friday and Cyber Monday? Learn how providing a strikingly good experience can keep your online customers coming back—and get them into your store as well.
Take your customer's experience from transactional to relational. With IBM Presence Insights and IBM Analytics, you can collect and analyze customer profiles and proximity in public spaces to see patterns, gain insights, and make helpful and enticing offers.
Organizations in many sectors are paying closer attention than ever before to social sentiment to gain insight and understand about how their customers feel about their products and create ways to market products and services. Learn more about the importance of social sentiment through a range of
The unprecedented amounts of data that consumers now generate can open up new opportunities for retailers or leave them struggling to catch up. To succeed in this cognitive era, they must adapt by using advanced analytics to create sophisticated customer profiles that enable them to improve price,