Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

Conclusion: Think Bigger!

Well, you made it! You’ve read about what big data is. You’ve read about the tools, processes, and methods required to tame it. You’ve reviewed what makes a G.R.E.A.T. analysis. You’ve read about the people and teams required to perform great analysis. You’ve read about how to enable analytic innovation through an analytic innovation center and a culture of innovation and discovery.

In our discussion about taming the big data tidal wave, we’ve covered a number of concepts and how they can be applied to improve your organization’s analytics and business today. Regardless of your background, you have hopefully learned a number of new insights that can be taken back to your organization as a result of reading this book.

A few key points that should be reinforced one last time, along with some actions you can take, include:

• Big data is real and it is here to stay. Don’t ignore it or be afraid of it. Extend your enterprise data and analytics strategies to incorporate it. Put it to use to gain a competitive advantage.
• Scalability is more important than ever. Be sure your organization updates to the most current technologies, including in-database processing, MapReduce, and the cloud.
• New processes are required as well. Start using analytic sandboxes, enterprise analytic datasets, and embedded scoring to enable faster, more scalable advanced analytics processes.
• Implement new analysis methodologies such as text analysis, ensemble models, and commodity models. ...