Data, Data Everywhere

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In the article, The Seductive Promise of Big Data, David Rosenbaum of CFO.com writes about the growing amount of data being stored in enterprises and the attractive promises of analytics, business intelligence and Big Data.  In Mr. Rosenbaum’s article, he interviews AOL’s Cindy Gallagher, an HP client, where she touches on how she uses the right data to record revenue and invoice customers:

Advertising is one of AOL's two main revenue drivers (the other is dial-up service) and therefore what the company should be doing, as Byrnes might say, is use Big Data to inform processes around advertising. AOL deputy controller Cindy Gallagher leverages HP Business Intelligence and Analytics to help her with advertising billing and revenue recognition and also to allow AOL's sales team to see who clicked on what ad when.  "My job," says Gallagher, "is to make sure we're using the right reporting to get to the sales team and get the right numbers to record revenue and invoice customers."

HP provides a relationship-based analytics approach designed to reduce costs, help mitigate risks, discover potential opportunities, and deliver better business outcomes. HP has over 1,000 experienced professionals—most with advanced degrees in management, economics, or quantitative sciences— focused on delivering business intelligence and analytics services to internal and external clients.  HP offers BI and analytics expertise, proprietary analytical methodologies and algorithms, and the ability to integrate business intelligence technology frameworks with analytics to provide the robust capabilities world-class companies require.

There’s so much unstructured data collected, how do you determine what information your organization should focus on?