The cognitive era is transforming even everyday business processes. Check out the technical preview of how IBM Planning Analytics with self-service functionality can address existing spreadsheet challenges and drive new business opportunities.
In this episode, listen to Chris Skinner and Jeffrey Chan discuss what context analysis is bringing to financial technology. When you do, learn why conversational commerce is becoming the next big thing in the app universe.
Marketers looking to expand their customer base and achieve retention continually contend with cognitive era challenges of rising data influxes from disparate sources. To cut to the chase, what they really need is a tool that predictively and prescriptively offers the means for recommending next-
Predictive analytics is bringing businesses and their customers together, creating value in the intersection of the two. Discover how you can transform your customer engagements by providing the marketing interactions your customers desire.
If you're like Graham Smith, IT Leader at Virgin Money, you'll be struggling with how to process thousands of inbound documents—up to 2000 emails a day. Learn how Virgin Money used Datacap to process these documents automatically and efficiently.
The benefits of data analytics for travel industry leaders are not confined to understanding customer behavior over time—insights can also be gained in the moment. Real-time weather data provides marketing and operations teams within various arms of the travel industry with immediate, actionable
Data is flowing from mobile devices, social networks, and every digitized and connected product, machine and infrastructure. And all this data has potential for insight. Companies who are becoming data-driven are propelling themselves into the cognitive era. As Cognitive Businesses they will
The customer experience may not end with social media, but it can certainly begin there. Companies that use social media to connect have a direct line to customers, allowing them to keep in touch with their customers and enhance their marketing strategies while combating churn.
Designing for the Internet of Things means creating new ways of achieving business goals, offering customers a compelling value proposition with connectivity at its forefront. Find out what considerations can help you reshape your business model to scale with the Internet of Things.
Retargeting has dominated the market in 2015, and it is increasingly becoming more sophisticated in delivering the right messages and products to online shoppers. Consumer products companies can use the technology in conjunction with big data analytics to target shoppers within a specific region or
Welcome to the Analytics Connections podcast, in which we explore the intersection of communications and analytics. Tune into this episode for a discussion about the path that is leading telecommunications to the insight economy.
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.
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
With multiple channels at their fingertips, retail and consumer products are a single click, swipe or download away from the deal they want. Learn how to personalize the consumer experience by untangling big data, building brand loyalty and increasing revenue.