7 ways to get ready for the big data of the future
TRANSCRIPT
Why should you care?
Because relational databasemanagement systems' slice of the datamarket is still 76%, and there's still time
to get on board!
An increased number ofSaaS & mobile app offerings in
the Cloud means companies need to adapt to new, non-relational
prototypes for extracting,analyzing & securing data
Incorporate Big Data solutions intoexisting infrastructures:
Identify the proper tools forintegration
Use purpose-built tools specificallydesigned for Big Data
Reported their analytictools aren't predictive
enough. Their tools helpthem understand what's
been happening, nothow customers will act
in the future70%
Said volume ofdata was growingtoo fast for their
analytics tools tokeep up
57%The Data
The analytic tools
IT departments shoulddecide what type of cloudtopology is best for theircompany's needs...
...private or hybrid?
Big Data systems use data from multiplesources for customer profiling
Mobile activity
Desktop behavior Email
Registration form data
Social media activitySecond screen actions
Use Big Data visualizationtools to help others
understand the data andwhat to do with the
information
Measures must be taken to ensure that the newpublic/hybrid Cloud topologies to support Big
Data comply with laws and regulations like HIPAAand Sarbanes-Oxley
Data living in the Cloud may require arestructuring of corporate security measures,especially when data in the public Cloud is
desired or necessary
PASTDatabase
administratorscreated reports anddelivered them
according to a strictschedule
PRESENTBig Data, custom
tools, andapplications supportaudiences on a self-service, on-demand
basis
Marketingorganizations usecustomized
marketing analyticspackages to makesense of informationstored in Big Datawarehouses
Although Big Data is seeing widespread adoption, toolsand vendors will continue to evolve
Standards and common practices will continueto solidify
Keep an eye out for new Big Data solutions &
an open mind when evaluating them
Marketing should use these insights to master the art ofcrafting messages, promotions, and micro-level targeting
Big Data will provide:
Advanced modeling
Detail level
Predictive analysis
Better ROI Power newprogrammaticmarketing
campaigns with
personalized userbehavior
Customer-centricity
Deeper customer engagement
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