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What is Big Data?
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Big data, according to Wikipedia, is data so large and complex that it is too
difficult to process using typical database tools or traditional processing.
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64%
of enterprises surveyed indicate that
they're deploying or planning Big Data
projects.
56%
acknowledge that they still don't know
what to do with.
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Structured data refers to
information with a high degree
of organization.
Relational database is
seamless and readily
searchable.
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What do we do with Big Data?
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In an ideal world, a
company’s goal would be
to turn big data into
structured data.
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In an ideal world, a company’s goal would be to turn big big data into structured data.
Volume. Velocity. Variety.
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Predictive Analytics
Simplifies data to amplified value. Navigating
overwhelming complexity to give you a clearer
view of the future and help you chart your course.
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• What is the best action to take on this
user?
• What product best matches this
customer’s needs?
• What actions will optimize my marketing
and maximize my return?
How Big Data can inform you.
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1. Migration of workforce from labor
intensive to knowledge-intensive
roles and industries.
2. Introduction of decision-support
systems into organizations in the
1960s.
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Powerful
technologies
+
Accompanying
data sets
=
Analytical
decision-making
and execution.
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Difficulties became
apparent.
Filters for important
information were not
in place to make
relevant and
impactful decisions.
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What do we do now?
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1.Identify the Opportunity
• Data driven firms performed 5-6% better | +60% in the retail sector
2.Build Skills
• 4.4 million Big Data jobs by 2015 | 1.9 million in the U.S.
3.Collect data
• Proprietary, public and purchased
4.Unify your Architecture
• Integrate legacy systems | build new architecture
5.Adopt a Big Data Mindset
• Step-by-step approach will no longer do | Look at patterns
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How do we start using Big Data?
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• Start small in their Big Data efforts
• Easier to train an existing employee on Big
Data technologies than it is to teach
somebody on your business
• Iterate on your project as you learn which data
sources are valuable
• Have a clear view of what you hope to achieve
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Top Big Data Challenges
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• Hype around big data both motivate businesses
to start Big Data projects but also confuse them
as to where they should go.
• 56% of respondents struggle with the idea
which creates a serious disconnect.
• There are more questions than answers right
now.
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Social Media Data
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For businesses looking to
leverage social data to their
own advantage, applying these
basic analytics hacks can be a
good place to start:
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1. Filter out the noise
2. Find high priority social media mentions
(Tweets from influential users, stories
regarding your business, or urgent customer
requests.)
3. Reduce information to a manageable stream.
4. Setup alerts for high volume mentions.
(Could be good or bad.)
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Affordable Visualization Tools
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These tools have started to democratize the kinds of insights once available only to
the tech-savvy few.
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Future of Big Data
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1.Big Data Visualization will power Big Data
2.People will INTERACT with their data
3.New business findings
4.New data-oriented mind set in the business
world
5.Automatic recommendations for A/B testing
when there are peaks and valleys in your
data
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Contact Us With Your Questions.