The advent of weather analytics has come none too soon. From inventory planning to public safety, organizations around the world are looking to weather data to help inform their decisions. But can they stay afloat in a sea of big data?
Consumers are well aware of the myriad shopping choices available to them, so how can retailers find and retain the most profitable customers? Here are some lessons for retailers that want to use big data to create a superior shopping experience that attracts the best prospects.
Data reservoirs are useful tools that can help organizations create new products and services, increase customer service and efficiency, and reduce waste and fraud. But what is a data reservoir and how do you create it?
Why are retailers doing away with the role of chief merchant? Surely this trend can’t mean the end of the human touch aspect of merchandising? Take a look at a recently announced solution for social merchandising in retail that enables harnessing retail data from internal and external sources to
By banishing “bankers’ hours,” mobile technology has transformed the banking industry. Learn how one New Zealand bank is using digital tools, real-time data and a reimagined strategy to strengthen customer relationships.
Effective shopper marketing means personalizing your message. Discover how one retail beauty business underwent a total makeover of how it targeted and interacted with consumers, creating a holistic consumer experience.
Companies utilizing the latest retail trends, including NFC technology, wearables and geolocation, are set to collect the data points necessary to provide the customer service today's customers expect.
Attend IBM Insight 2015 to watch the semifinalists in the Hack the Weather hackathon present their projects to a panel of judges, and learn how to use weather-driven analysis to address your own analytics-related business challenges.
Weather can be just as important a factor in retail success as location is. Both by boosting planning efficiency and by mitigating supply chain risk, weather data analytics can help retailers predict and meet customer demand—rain, snow or shine.
The adage "the customer is king," has never been more relevant than it is now. It's imperative for you to understand exactly how they think and behave, especially if you seek a strong ROI from your customer data analytics.
While analytics can help retailers capture trends to determine what promotions to pursue, implementing the systems requires the right tools, people and processes. In retail, the challenge is understanding which product customers want, when they want it and what they are willing to pay for it. Both
Obtaining information on the effects that promotional campaigns have on revenue and profitability has been highly challenging for marketers, merchants and retailers. Can lift analytics offer them the Holy Grail of deep insight gleaned from consumer data for precise promotional planning? Take a look