The European Union recently implemented its General Data Protection Regulation (EU) 2016/679 (GDPR). This new regulation has created a challenge for many organizations in terms of how to maintain compliance with the new data protection and privacy laws while continuing to use data for analytics.
To attain digital transformation maturity, organizations have to build a foundation of trusted customer and product data. This includes integrating policies which control how data is used within the enterprise and protecting sensitive information.
Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.
A recent stop on the IBM outthink tour 2016 punctuated the evolution of cognitive learning systems and their implications for marketing and the delivery of customer experiences that foster retention and loyalty. See how cognitive capabilities are being incorporated into the fabric of everyday job
Missing the mark in customer segmentation marketing can be detrimental for consumer product companies. Marketing consumer products demands a fluid, dynamic process for customer segmentation that is in sync with today’s consumer. Learn more about how cognitive analytics leverages consumer and
Is your data driving your daily customer interactions? Don’t ignore what analytics can be doing for you in the now. Instead, discover how arming yourself with data from the outset can help you meet customers where they are.
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