3. Big Data – What does it look like?
Volume
Variety
Velocity
Veracity
Data at Scale
Data in Many
Forms
Data in Motion
Data Uncertainty
Analysis of
streaming data to
enable decisions
within fractions of a
second.
Managing the
reliability and
predictability of
inherently imprecise
data types.
Terabytes to
petabytes of data
3
Structured,
unstructured, text,
multimedia
4. Big Data, or BIGGER Data?
Source: From IDC 2011 Digital Universe Study
6. So,
• Big Data is being generated by everything, everywhere, all the time
• Big Data is growing exponentially
• Big Data is growing rapidly
• Volume, Variety, Velocity, Veracity
but most importantly,
• Big Data is growing where we CANNOT CONTROL IT !!!
8. Big Data is addressing key imperatives for Business
Attract, grow,
retain customers
Optimize
operations and
reduce fraud
• Acquisition
• Global Operations
• Personalization
• Infrastructure &
Asset Efficiency
• Profitability
• Retention
• Fraud
• Security
Maximize insight
and IT economics
• Harness and
Analyze all Data
• Govern All Data
• Analytical
Workload
Optimization
• Spectrum of
Analytics
8
Transform
business
performance
• Financial and
Operational
Performance
Create new
business models
• Data-driven Products
and Services
• Financial Risk
• Non-traditional
Partnerships
• Operational Risk
and Compliance
• Mass
Experimentation
9. Racing to the cliff
More and more of critical business functions rely on Big Data
The quality of insights and value of Big Data comes from
– access to more data (volume)
– more sources (variety)
– great speed (velocity)
which drives business to expose themselves more and more to Big Data
How do you protect the Business when
more and more of your Business relies on
data from the Internet?
10. Problem? What problem?
The reality today Big Data is a nice to have
Insights are “improved” with Big Data, NOT driven by Big Data
Disruption/Disconnect is recoverable (run it again…later…)
Remember another recent phenomenon that had similar characteristics about 15
years ago?
The Internet!!!
11. The imminent imperative
Big Data will become “business critical”
Reliable access to Big Data will become a “must have”
Data sources outside the Enterprise will be more valuable, and more critical than
data sources from within the Enterprise
Down time and disruption of Big Data channels outside the Enterprise will have
direct impact to the BOTTOM LINE
What is needed
We need to identify strategies to “protect” external sources of data, despite those
sources being external to the enterprise
We need to provide stability and continuity for the critical business functions that
are more and more dependent on this external data.