JD Stanley, Global Director of Strategy and Integrated Solutions at Cisco's Data and Analytics Business Unit, gave a keynote on data and analytics going "Back to the Future." He discussed how most data will be processed at the edge by mobile devices and IoT solutions in the near future. Cisco is focusing on network analytics, edge computing, data relationships, and accelerating time to value through tools for data exploration, preparation, and prediction. The talk concluded that initial focus should be on data discovery rather than predictions, improving data quality, and unleashing teams of various roles to iteratively improve outcomes through experience rather than just technology.

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Keynote: Back to the Future
for Data and Analytics
J.D. Stanley III
Global Director of Strategy and Integrated
Solutions Data and Analytics Business Unit
(DABG), Cisco

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April 13, 2016
Galvanize, Austin Campus

4. J.D. Stanley III
Global Director of Strategy, Incubation, and Integrated Solutions
Cisco Data and Analytics Group (DAG)
April, 2016
Big Data & Analytics?

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Is Big Data & Analytics Going Back to the Future?

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The world is buzzing with lots of words…
Data Explosion
Hype Explosion

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Unstructured DataStructured Data Data Streaming at the Edge
Traditional
Data Warehouse Big Data Store
A New Approach is Needed to Reach and Analyze That Data
REAL-TIMELONG-TERMSHORT-TERM
Make a Decision NOWMake a Decision TodayPlan for a Business Decision
Respondents: “Most data will be
processed at the edge”
(mobile devices, appliances, routers)
Source: Cisco Consulting Services Global IoT Study, 201437%
Widely Distributed, Streaming, Short Shelf Life, Too Big to Move
Digitization Creates Data at the Edge
Three years from now, where will most data generated by IoT solutions be processed?

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Cisco’s Data and Analytics Focus Areas
Network
Collaboration
VideoStreamingLocation / Mobility
Asset Utilization
Analytics
Capabilities
Data Relationships
Digital Experiences
Edge & IoT / IoE
Edge Analytics InsightsData Access

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Accelerate Time to Value
Data
Self-Service
Analytics
BI/Reporting
Automatically explore column
correlations in data
Start Here
Don’t make initial
biased assumptions on
what data is important
Low ranked, non-valuable data
High ranked, valuable data
Prepare & cleanse
Uncover deeper patterns and
correlations
Give correlations to data
scientists/advanced analysts
Data Virtualization

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How can I accelerate my analysis process
and reach business outcomes faster?
?
Data Scientist Journey Map
Data
Self-Service
Analytics
BI/Reporting
Automatically explore column
correlations in data
Start Here
Accelerate time in the
front-end process of
determining valuable
columns without scoring
or querying
Low ranked, non-valuable data
High ranked, valuable data
Build predictive models
Take data into R/Python
Build regression and pivot
analysis
Data Virtualization

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Data Explore:
Discover
Relationships
within your Data
• Reveals which
columns are
correlated
• Suggests ways to
maximize
predictability of
each column

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Cisco Data Preparation
Decision
Makers
NoSQL
DBaaS
Hadoop
Databases
Data Virtualization
SaaS Apps
Files
XML Docs
Desktops
Aquire Publish
Predictive
Models
Operational
Analytics
Packaged
Applications
Discovery and
Visualization
Business
Analysts
Data
Scientists
Data
Engineers
Answer
Set
Shape
Add Data
Explore
Clean &
Change
Enrich
Combine
Share &
Govern

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Data Predict: Extract
Patterns Related to an
Outcome
• Detailed patterns of activity
are converted to If/Then
rules for users or real-time
predictions
• Automated extraction of
rules means you get to the
answers quickly
• Use in real-time predictions
or with existing statistical
models

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Is Big Data & Analytics Going Back to the Future?
Walk Away Considerations
• Focus on Discovery initially, not predictions
• Improve the upfront parts of data, addressing the
cause, not the symptom
• Tools are inputs, treat them that way and not as
outputs, whereas outputs are iterative and
evolving with your collaborative & collective
context
• Focus on unleashing the legions, to increase the
effect-based operations of the 4 types of
stakeholders (IT Professionals, Data Scientist,
LOB Analyst, and Edge Professionals)
• Outcomes are about the experience, not about
the math and technology
Curious? Visit our table and ask about Cisco Explore,
Predict, Data Prep, DV, Edge, Workbench, etc…

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