Big Data

EMC World 2015: Achieving Big Data Maturity

Bill Schmarzo By Bill Schmarzo April 20, 2015 are in year 3 or 4 (depending who’s counting) of the Big Data craze, and what have we learned?  Well, Gartner published a report on November 28, 2014 titled “Predicts 2015: Big Data Challenges Move From Technology to the Organization.”  In this report, Gartner predicts dire results for most big data projects, including:

  • Through 2017, 60% of big data projects will fail to go beyond piloting and experimentation and will be abandoned.
  • Through 2017, fewer than half of lagging organizations will have made cultural or business model adjustments sufficient to benefit from big data.
  • Through 2018, 90% of deployed data lakes will be useless as they are overwhelmed with information assets captured for uncertain use cases.

I’m not surprised by these claims.  I’ve seen my fair share of organizations that are approaching big data entirely wrong.  Too many organizations are treating big data as an IT initiative focused on reducing costs instead of as a business transformation that can optimize key business processes and uncover new monetization opportunities.

EMC GS May the 4thWell, EMC Global Services has a “different take” on Big Data.  We have found that organizations don’t need a Big Data Strategy; instead, they need a business strategy that incorporate big data.  And we find that when organizations “flip that bit” on the big data opportunity, it dramatically improves the potential for a successful big data deployment by driving business opportunity focus and prioritization.

EMC Global Services is examining what works, and I’ll be presenting our recommendations Monday, May 4, 4:30 PM – 5:30 PM.  My presentation is titled “From the Dean of Big Data: Expert Guidance To Achieve Big Data Maturity” and will cover the following topics:

  • The Big Data Business Model Maturity Index that measures the effectiveness of an organization at leveraging the wealth of new customer, product and operational data, coupled with advanced analytics (data science), to power key business initiatives (see Figure 1).

Figure 1: Big Data Business Model Maturity Index

  • “Thinking Like A Data Scientist” unveils a process, complete with techniques and exercises, to help your line of business users understand how they can help drive your data science efforts (see Figure 2).

Figure 2: Role of Scores in your Data Science Efforts

  • The Big Data Strategy Document helps organizations to decompose “what’s important to the business” in order to identify where and how to start your big data journey (see Figure 3).

Figure 3: Big Data Strategy Document

  • Finally, understanding the role of the Data Lake in empowering your data science team while freeing up valuable (costly) data warehouse resources.  I’ll also address the key differences between Data Lake 1.0 and Data Lake 2.0 (see Figure 4).

Figure 4: Federation Business Data Lake… Data Lake 2.0

By the way if you come to my session, bring pencil and paper because I’m going to put you to work.


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