Targeted Marketing and Predictive Analytics, Part 2
In the first segment of this two-part series on predictive analytics, I discussed the potential of analytics for providing a better ROI for marketers as well as how to select the right
In this blog, we discuss cognitive computing and other technologies with a focus on supply chain management and innovation. Other topics of discussion include digital enterprise transformation, marketing, the Internet of Things, and smart cities. Our goal is to advance the public discussion about how cognitive computing and other advanced technologies affect the world in which we live.
Bradd C. Hayes is the active editor of this blog.
In the first segment of this two-part series on predictive analytics, I discussed the potential of analytics for providing a better ROI for marketers as well as how to select the right
Seth Gottlieb believes that using predictive analytics to target customers “is going to feel invasive” as it becomes more common. However, he continues, he is “hoping that predictive analytics will help marketers
Bain & Company analysts Wlademir Gomes, Louis Lim, Robert Schaus, and David Cooper, report, “The global marketplace is minting a new set of consumers that’s bigger than the current shopping base of
“If there is one thing you can learn about marketing,” writes Sari Gabbay, “it’s that just because you create a service or product, and it came from your vision this does not
“Those who insist that every [customer] is created equal merely ensure that ‘the worst customers get better service than the best,” Bob Sabath, a discipline expert in supply chain management with Trissential,
When you hear the term “social intelligence,” what comes to mind? The term has been applied to two very different subjects. The term is most widely used in a new scientific field
In a post entitled Big Data: Do Marketers Get It?, I discussed the fact that marketers are still wrestling with how best to use big data. Nevertheless, I noted that they are
“Now more than ever before businesses have tons of data on what customers want,” writes Erik Sherman. “Too bad they don’t have a clue what to do with it.” [“Oops: Big Data
Most manufacturers and retailers continue to see enormous potential for growth in China. To become the pot of gold that manufacturers and retail hope for, Douglas Alexander, Principal Consultant at Component Engineering
In Part 1 of this two-part series, I discussed a Harvard Business Review article written by Wes Nichols, cofounder and the CEO of MarketShare, a global predictive-analytics company headquartered in Los Angeles.
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