As the U. S. election fever subsides, the relative accuracy of the analytics of the pollsters and especially Nate Silver’s predictions send a clear message through politics and business alike, doing analytics works. Analytics depends on several factors in which understanding the data’s meta-data for context, development of data associations and statistical relevance through analytics are only the basics. Bringing an analytics strategy together is a political and business differentiator and it has never been so celebrated and important to businesses around the world as it is right now.
Data analytics has been around for years and was really exposed to the public back in 2004 by the PBS special called “The Persuaders” and further detailed in last year’s IBM MIT Sloan Management Review special report “Analytics: The Widening Divide.” These reports show that analytics continues to get better, more profitable and more finely tuned giving companies the ability to micro market to individuals and giving them huge profits over their competitors.
Micro marketing has even become more aggressive and uses a variety of persuasion techniques as detailed in the new book by Sasha Issenberg, The Victory Lab: The Secret Science of Winning Campaigns
During the Sasha Issenberg The Victory Lab interview it was interesting to hear how the political parties are slicing and dicing up your Twitter, Facebook and other social and personal information to determine your voting issues, history and preferences. It was also interesting to hear about the limitations of the campaign data analytics and how they could use all the data but still needed a human phone call or on-the-ground campaigner to visit and help make the deciding influential conversation to get your vote. The challenges of setting up analytics are further documented through Jeff Jonas’ latest blog “Fantasy Analytics” where he discusses the issues with building analytical systems.
So even through Facebook wants and sells all your personal information and big data analytic systems can make a huge difference, there are still many limitations and difficulties. Remember to tell your management about the limitations and make sure to develop a data analytics strategy before starting on your own analytics system which needs to be completed as soon as possible.
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On December 4th, 5th and 6th I will be presenting at the Minneapolis, Milwaukee and Chicago DB2 Users groups doing my two latest presentations detailed below. Hopefully you can come out to the meetings and we can have a good questions and answers session about all the big data and Java applications your company is doing.
Agile Big Data Analytics: Implementing a 22 Billion Row Data
This presentation discusses the design, architecture, meta-data, performance and other experiences building a big data and analytics DW system. You will learn through this presentation the real life issues, agile development considerations, and solutions for building a data warehouse of 22+ billion rows in six months. This presentation will help you understand techniques to manage, design and leverage the big data issues for a more in-depth understanding of your business. Also the agile development processes will be detailed showing how to uncovered complex analytics requirements and other issues early in the development cycle. This presentation will help you understand all these experiences that took processes from 37 hours to seconds so you can create a successful big data design and scalable data warehouse analytic architecture.
Java DB2 Developer Performance Best Practices
Can your Java, J2EE DB2 application sustain a large number of client requests simultaneously? Or do they deadlock, become sluggish, or have painfully slow response times? There are many reasons for java performance bottlenecks and many ways to prevent them. However, sometimes it’s just a matter of following some simple best practices that can make all the difference. This presentation will discuss the java developer best practices, coding for optimum DB2 access and some simple changes you can make, some in the design and some in the coding phases that can help your developers build faster, more robust applications.
DB2 User Groups:
Minneapolis: For more information click here
Milwaukee: For more information click here
Chicago: For more information click here
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Dave Beulke is an internationally recognized DB2 consultant, DB2 trainer and education instructor. Dave helps his clients improve their strategic direction, dramatically improve DB2 performance and reduce their CPU demand saving millions in their systems, databases and application areas within their mainframe, UNIX and Windows environments.
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