Structuring big data and deriving meanigful conclusion is no simple task the data often a time is so eschewed that it becomes useless for the analyst the data gathering mechanism should be enabled to ignore any such irrelevant and useless data.
Just getting big-data together for analysis is a challenge. Sometimes reading about analytics makes it sound as though this happens almost automatically, simply by adding some software to the network. Not so; and perhaps it's time for enterprises to start considering how they're going to deal with the formatting issues required to get analytics to work for them.
Linda Descano, President and CEO of Women & Co., and managing director of partnerships and branded content of North America marketing at Citi, explains her firm's marketing opportunities and challenges.
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.
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