Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)

Even more important, the tabs, graphs, and charts can be linked to each other. If a user clicks on the bar for the Northeast region, all the other graphs will instantaneously adjust and show only Northeast data as well.

recent analytical innovation that is a ripple effect is the rise of social network analysis in telecommunication companies.

That’s what happened. How did the sign-ups occur by day? That’s when it happened. How much money did the new subscribers bring in, and how did that compare to the baseline? That’s the impact.

The analytics techniques, processes, and systems within organizations will be strained up to, or even beyond, their limits. It will be necessary to develop additional analysis techniques and processes utilizing updated technologies and methods in order

at nine more sources of big data and some ways to use them.

team will have to focus on analytic innovation if they are using in-database analytics and MapReduce so that their processes run dozens of times faster.

Standards for the production and generation of big data will develop, as will the standards for the processing and analysis of big data. Both

Business resources will help define the problems and ensure practical considerations are accounted for. Analytic resources will dig through the data and perform the required analysis. IT resources will help manage the data volumes,

There are commercially available tools to help with model and score management, or a custom solution can be built to address an organization’s specific needs.