The document discusses Cisco's creation of an Analytics Center of Excellence (CoE) to accelerate the company's competitive advantage through data-driven insights. It establishes a governing body including senior leaders to provide direction and ensure priorities are aligned across functions. The Analytics CoE will establish best practices, develop analytics skills, manage data platforms, and partner with business units to identify opportunities and deliver business value through analytics.

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Gregory Lewandowski, Robert John Lake
March 16, 2015

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Cisco creates
solutions built on
intelligent networks
that solve our
customers’
challenges.
John Chambers’ (CEO) stated goal is
to be the #1 IT company in the world

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Gregory Lewandowski
Senior Manager
Analytics CoE & Data Visualization
(@lewandog)
Robert John Lake
Senior Manager
Analytics CoE

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Introduction
Governing Body
Analytics CoE
Data Science
Lessons Learned
Q&A

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Business
Intelligence
Engineering
MarketingSales
Finance
Supply
Chain
Human
Resources
Information
Technology
Custom BI solutions
propagating within
functions
1
BI skills dispersed in
pockets throughout
the enterprise
2
Inconsistent tools,
processes, and
approaches being used
3
Data multiplying in
silos in offline tools
and systems
4

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Corporate
Initiative
Business
Intelligence
org formed
under CFO
Corporate
Initiative
Created
global shared
services
organization
under COO
Analytics
COE
Analytics as
differentiator &
driver of
growth for
Cisco
Focus
Data Science
initiative to
develop
skills to
capitalize on
Analytics

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Vision: Accelerate Cisco’s competitive advantage by understanding
the past, managing the present, and changing the future.
Enterprise
information
management,
data quality,
architecture,
policy &
governance
Governance
CoE for
analytics, data
communication,
and innovation
Analytics CoE
Establish and
cultivate
strategic
relationships
with business
functions
Customer
Data supply
chain,
solutioning &
execution of
delivery
services
Delivery

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SVPs&VPs
Steering Committee
• Provide direction and sponsorship for company wide Business Intelligence priorities
• Actively promote data driven decision making
• Hold Operating Body accountable to commitments; serve as escalation authority.
Participation level: Sustaining 80+% active participation across high profile leaders of the Co. for 2 years
Quarterly cadence
Sr.Directors
Operating Committee
• Execute on direction from Steering Committee
• Drive cross functional priority alignment
• Facilitate change management & adoption
Monthly cadence
Steering Committee and Operating Body as Governing Structure
Representation across all business functions

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• Raised prominence for BI and
Analytics at Cisco
• Passionate Sr. leaders across
functions steering direction for
the Enterprise
• Change culture and drive
Enterprise transformation
mindset
• Yielded prioritization of key BI
/ Analytics initiatives across
Cisco – Analytics CoE among
TOP 5
Analytics
CoE
Corporate
Hierarchies;
Master Data
Management &
Governance
Application
Consolidation &
Governance
New Business
Models
Enablement
Relationship
Management
(Customer,
Partner, Supplier,
Employee)
Top BI /
Analytics
Priorities

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Accelerate Cisco’s competitive advantage by understanding
the past, managing the present, and changing the futureV

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• Create a process for delivery of
“analytics ready” data
• Nirvana (Data at Fingertips):
Near Immediate Access
48 hour turn-around
• Manage analytics platforms
• Extract, transform, load
• Cleanse & profile data [to a point]

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Analytics is only as good as the data –
Trust in data quality is paramount
Data
Stewards
Leverage data
stewards as subject
domain experts
Feedback
Work closely with data
governance team if new policies
and/or access criteria is needed
Certified
Data
The Analytics CoE will
consume data from
approved sources
Quality
Monitoring quality with a
business rules engine

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• Established early credibility
through DataViz community
• Carry this over for Analytics CoE
• Resource for industry best
practices and up-leveling skills
and techniques
• Virtual Community – bring
together the multitude of Analytics
teams within Cisco

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Frame business
problem, anticipated
outcomes & value.
Assess data
requirements and
acquire data within
sandbox.
Deliver final reports
and documents and
implement models in
production
environment.
Develop data sets for
testing, training &
production. Run test
through model.
Identify key findings,
quantify business value
and create executive
summary.
Perform initial data
analysis and formulate
hypothesis.
Model Building
Operationalize
Model
Planning
Discovery
Communicate
Results
Data
Prep

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Drive change
mindset across Cisco
towards analytics
Increase risk taking –
Fail fast and fail
often, learn, move on
Provide opportunities
for internal
development
Drive and reward
disruptive
innovation
Incorporate
industry
perspective and
outside-in thinking
Leverage
contemporary
tools

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Define Needs &
Team Composition
Develop & Retain
Discover, Attract
& Source
Define Roles

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Rationale Services Customer Value
• How do we express
value?
• How do we build a
vendor strategy?
• Not about creating
models and machine
learning
• Focus on enabling value
for our customers
• Time to first insight
• Time to return on
Investment
• Less Complexity in
maintenance
• Better scalability
• Availability of capabilities
• Creation of revenue
• Reduction of expenses
• Reduction of impact of
Risk
• Change perception of
their customers
Establish Analytics as a Service

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Continuous Learning
• To retain and enhance skills
• Develop a well-rounded skillset
• Designated career path
• Work with HR to document job and career definitions
• Align skills with academic / industry standards
• Prepare to drive strategic conversations
• Contribute further to the growth and acceleration of
the company
• Learn to work effectively in small groups or pods

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Cisco Data Science Program Approach
From Pervasive Knowledge (L0) to Expertise (L3)

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The Solutions Room
“AaaS” through analytics led conversation
• Hosting workshops
− Client led hypothesis discussions
− Rapid piloting and or solution development
• Providing a customer experience
− Showcase analytics capability to customers
• Hosting interactive Quarterly Business Reviews (QBRs)
− Dynamic QBR sessions
− Interactive discussion
• Collaboration environment for Data Scientists
• Visualization discovery room

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Leverage Multiple Means to Increase Awareness
Internal & External Events, Industry Participation, Online
Community
Maximum Return on Investment
Cost Optimized, Repeatable Model for Scalability &
Process Improvement
Relationships & Expert Skills
High-Touch Client Relationship Management, Business Acumen
and Technical Capabilities in a Single Team, Strong Vendor Strategy
Tangible Value
Make Money, Save Money, Make Business Partners Happy
Drive focus towards Analytics to accelerate Cisco’s competitive advantage

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Must be able
to show value
along the way
Be prepared to find
the unexpected
Speed is essential –
get started now
Fail Fast, Fail
Often, Learn &
Move On
Analytics Leads to
Better Questions
Change is hard –
Business relationships
are critical to success

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TOMORROW starts here.