Page 9 - Building Big Data Applications
P. 9

Chapter 1   Big Data introduction  3


                 data or information in these nuggets that have to be harvested. Consider the following
                 data:
                   Traditional business systemsdERP, SCM, CRM, SFA
                   Content management platforms
                   Portals
                   Websites
                   Third-party agency data
                   Data collected from social media
                   Statistical data
                   Research and competitive analysis data
                   Point of sale datadretail or web channel
                   Legal contracts
                   Emails
                   If you observe a pattern here there is data about customers, products, services, sen-
                 timents, competition, compliance, and much more available. The question is does the
                 organization leverage all the data that is listed here? And more important is the question,
                 can you access all this data at relative ease and implement decisions? This is where the
                 platforms and analytics of Big Data come into the picture within the enterprise. From the
                 data nuggets that we have described 50% of them or more are internal systems and data
                 producers that have been used for gathering data but not harnessing analytical value (the
                 data here is structured, semistructured, and unstructured), the other 50% or less is the new
                 data that is called Big Data (web data, machine data, and sensor data).
                   Big Data Applications are the answer to leveraging the analytics from complex events
                 and getting the articulate insights for the enterprise. Consider the following example:

                   Call center optimizationdThe worst fear of a customer is to deal with the call cen-
                   ter. The fundamental frustration for the customer is the need to explain all the de-
                   tails about their transactions with the company they are calling, the current
                   situation, and what they are expecting for a resolution, not once but many times
                   (in most cases) to many people and maybe in more than one conversation. All of
                   this frustration can be vented on their Facebook page or Twitter or a social media
                   blog, causing multiple issues
                     They will have an influence in their personal network that will cause potential
                      attrition of prospects and customers
                     Their frustration maybe shared by many others and eventually result in class
                      action lawsuits
                     Their frustration will provide an opportunity for the competition to pursue and
                      sway customers and prospects
                     All of these actions lead to one factor called as “revenue loss.”If this company
                      continues to persist with poor quality of service, eventually the losses will be
                      large and even leading to closure of business and loss of brand reputation. It is
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