Network complexity, cloud-based architectures, the explosion of apps, and the growth of bandwidth needs are among the reasons enterprises need to improve insight into traffic and data.
Network complexity, cloud-based architectures, the explosion of apps, and the growth of bandwidth needs are among the reasons enterprises need to improve insight into traffic and data.
Big-data has become a big point of emphasis for many businesses. While the technology is available to deploy these applications, the needed personnel often is not. As a result, analytic engineers' salaries have blown past the six-figure mark, and hiring these experts has become a challenge for IT managers.
Big-data and analytics tools enable marketers to understand customers as individuals, identifying unmet needs and addressing each customer as a "segment of one," says John Kennedy, VP corporate marketing, IBM.
Edmunds separates customers into segments based on the info it collects on its site and from partners, and uses that to push out custom content, said Brian Baron, director of business analytics for Edmunds.com, at Predictive Analytics Innovation Summit.
The automotive website uses propensity modeling to target ads and customer registration forms, said Brian Baron, director of business analytics for Edmunds.com, at Predictive Analytics Innovation Summit.
The automotive website uses propensity modeling of customer behavior to convert more site visitors into leads, says Brian Baron, director of business analytics, in an interview at the Predictive Analytics Innovation Summit.
New tools like laptops, tablets, smartphone, and wireless connectivity let us work from San Diego to Katmandu, and anywhere in between. But time management remains a problem.
The IBM Smarter Commerce Global Summit in Monaco kicked into high gear today, and we've already begun to see news emerging from that lovely city-state by the sea.
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