This document discusses building smarter organizations through analytics and agility by design. It describes trends in increasing data volume, variety and velocity that challenge organizations to keep up. The document advocates building organizational capability for business agility to sense changes, understand them through insights from analytics, respond through business actions, and continuously refine actions to improve business results. It outlines approaches for data foundations, information design, agile IT models, analytics frameworks, and active business ownership to build analytics-driven organizations.

1. AGILITY THROUGH DESIGN
Building Smarter Organizations
with Analytics
AGILITY THROUGH DESIGN

2. AGILITY THROUGH DESIGN
Trends are accelerating and converging
Dramatically increasing the Volume, Variety and Velocity of data that is
captured and stored

3. AGILITY THROUGH DESIGN
“What information consumes is rather obvious: it consumes the attention of its
recipients. Hence a wealth of information creates a poverty of attention, and a need to
allocate that attention efficiently among the overabundance of information sources
that might consume it.”
Herbert Simon
It is key to find the right balance between human intuition, analytics and
organizational capability
Raising the question – Can humans and
organizations keep up?
“Avoidable failures are common and persistent, not to mention demoralizing and frustrating
across many fields – from medicine to finance, business to government. And the reason is
increasingly evident: the volume and complexity of what we know has exceeded our
individual ability to deliver its benefits correctly, safely, or reliably. “
Dr. Atul Gawande, The Checklist Manifesto

4. AGILITY THROUGH DESIGN
We want to build Smarter Organizations that deliver meaningful business
results through secure, seamless context-aware experiences in a data
driven world
Our approach to Analytics is focused on
building the organizational capability for
Business Agility that can sense changes,
understand them, respond to them
through business actions and refine these
actions continuously to deliver better
business results
Our approach to Analytics

5. AGILITY THROUGH DESIGN
Analytics is a competitive differentiator
These patterns lead to
business insights
which can be translated
into specific actions to
drive meaningful
business outcomes.
Analytics is the discovery
and communication of
meaningful patterns in
data.

6. AGILITY THROUGH DESIGN
… aims to build smarter organization that deliver
Agility by Design …
• Innovate at the edges
• Turn data into insights
and action
• Use Design Thinking to
redefine interactions
• Smaller projects,
incremental functions
(MVP) and iterative
delivery
SENSE
• Rapid prototyping and
experimentation
• Assess results and modify
experiments
• Self-organizing, rapid-
strike teams
• Agile Development
RESPOND
• Horizontal and Full
Stack Organizations
• Virtualized Data
Services
• Lean Management and
Operations
• Adaptive Data
Governance
ADAPT
• Speed to market
• Rapidly adapt
• Decisions based on
insights
• No backlog that blocks
ideas
BUSINESS AGILITY

7. AGILITY THROUGH DESIGN
CUSTOMER OPERATIONAL ANALYTICS
MARKETING SALES SUPPLY CHAIN
FINANCIAL WORKFORCE
CUSTOMER ANALYTICS
Help determine Next Best
Action or Next BestOffer
CUSTOMER
INTERACTION
ANALYTICS
Improve Customer
Experience and reduce cost
of service
SOCIAL ANALYTICS
Drive brand loyalty and
service recovery actions
based on sentiment
analysis on social media
CUSTOMER
INTELLIGENCE
Improve customer share of
wallet through target
marketing
MARKET INTELLIGENCE
Provide insights into
market trends and
customer behavior
MARKETING
EFFECTIVENESS
Drive returns from better
marketing spend allocation
PRICING ANALYTICS
Provide price / discount
insights for specific sales
SALES FORCE
ALLOCATION
Drive sales coverage across
addressable segments
SALES EFFECTIVENESS
Enable effectiveness of
sales pursuit and
conversion
SALES COMPENSATION
Design and track sales
compensation for
optimization
PRODUCT SALES
PERFORMANCE
Monitor sales performance
by product/ solution
DEMAND-SUPPLY
PLANNING
Reduce demand-supply
mismatch through better
forecasting
INVENTORY
OPTIMIZATION
Reduce own and channel
inventory costs
PROCUREMENT
ANALYTICS
Drive savings from spend
forecasting and
consolidation
FINANCIAL REPORTING
& ANALYTICS
(Budget and forecasting,
P&L / Balance Sheet
review)
COMPLIANCE & RISK
Continuous monitoring,
better audit sampling to
test controls and enable
revenue hedging
CUSTOMER
PROFITABILITY
Continuous monitoring and
optimizing of customer and
product profitability
WORKFORCE
OPTIMIZATION
Allocation / matching of
workforce for efficient
usage
ATTRITION MODELING
Identify attrition
propensitybased on
characteristics & drivers
. . . and meaningful business results across the
organization

8. AGILITY THROUGH DESIGN
Smarter Organizations expect more from IT
8
• Just-right functionality
• Continuous Delivery
• Frequent releases
• Lower costs of entry
• Scale based on use
• Easy to decommission
• Focus on Ease of Use
• Emphasize Simplicity
• Deliver Quality @ Speed

9. AGILITY THROUGH DESIGN
Many IT teams struggle to meet the needs of
Smarter Organizations
9
IT debt continues to
increase
Gartner estimates Global IT Debt was $500
Billion in 2010 and will grow to $1 Trillion
by 2015
The traditional IT
model is inadequate
CIO’s need to change how they manage
the “Business of IT” to deal with today’s
challenges
Supply of skills is
constrained
The current workforce model used by
IT cannot be scaled to meet today’s
increased demand

10. AGILITY THROUGH DESIGN
Our innovative delivery model allows
organizations to Think like a Startup …
Digital Portfolio Management Agile Product Lifecycle ManagementCustomer Centricity
IDEATE
PROOF OF
CONCEPT
MINIMUM
VIABLE
PRODUCT
BETA
GA

11. AGILITY THROUGH DESIGN
Culture
Government & Legal
Business Models, Platforms &
Leadership
Markets
Distribution& Processes
Products & Offerings
Relationships & Community
Brand & Experience
© 2014-2015 Causeit, inc.
Innovation SpectrumDesign Thinking
VIABILITY
(BUSINESS)
FEASIBILITY
(TECHNICAL)
DESRABILITY
(HUMAN)
Human Centered
Design
INNOVATION
Lean Startup
Respect for People
ContinuousImprovement
• Create Value for Customers
• Improve adaptability to
change
• Drive continuous Innovation
• Create bandwidth
… and execute at enterprise scale …

12. AGILITY THROUGH DESIGN
… through a new model for IT …
1. Adaptive Enterprise
Architecture
2. Digital Portfolio
Management
3. Innovation and Customer
Centricity
4. Platform Thinking
5. Horizontal IT Teams
1. Understand the
business
2. Manage IT as a
business
3. Be the Change Agent
1. Innovative
business
system
2. Sustainabl
e
Workforce
1. Agile IT
1. Real Lean
2. Design Thinking
3. Discovery Driven Planning
4. Visual Management
5. Servant Leadership
6. 10-20-70 Learning Model
7. Component Design and APIs
8. Crowdsourcing
* Agile IT 2012 Right Brain Systems and 2014 NTT i3

13. AGILITY THROUGH DESIGN
… that reimagines and revamps the
traditional model for managing IT
COMPANY OUT
VERTICAL SILOS AROUND FUNCTION
EFFICIENCY & COST
IT CENTRIC & PROJECT FOCUSED
CUSTOMER IN
HORIZONTAL ACROSS VALUE CHAIN
THROUGHPUT & VALUE
BUSINESS CENTRIC & CONTINUOUS DELIVERY
APPLICATIONS DATA AND INFORMATION

14. AGILITY THROUGH DESIGN
ACTIONS:
What do we do?
DATA & INFORMATION
MANAGEMENT
• Understanding the data
ecosystem – Structured,
Semi-structured and
Unstructured data
• Creating and maintaining
data as an asset
BUSINESS INTELLIGENCE
• Aggregation of
Information – primarily
from Structured data
within the enterprise
• Historical view aimed at
enabling business
planning and improving
business performance
BUSINESS ANALYTICS
• Correlation across
internal and external
data sources
• Identify patterns and
causal relationships in
historical and real-time
data
ANALYTICS DRIVEN
ORGANIZATION
• Predict / optimize
business decisions
• Translate insights into
actions through
operations
• Experiment,
implement, measure
and improve
DATA
What data?
INFORMATION:
What happened?
INSIGHTS:
Why did it happen?
BETTER BUSINESS
OUTCOMES
• Ability to sense and
understand changes in
marketplace
• Rapid decisions driven
by Information
• Enable differentiated
and seamless context
aware experiences
The journey towards a Smarter Organization
Business Intelligence can answer questions such as: what happened; how many, how often, where did it happen; where exactly
is the problem; what actions are needed.
Business analytics answers the questions: why is this happening; what if these trends continue; what will happen next (predict)
and what is the best that can happen (optimize).

15. AGILITY THROUGH DESIGN
Our approach for building an analytics driven
organization focuses on five key domains:
• A data foundation that provides an enterprise view of data, its
types, sources, latency and how it is understood and used
(metadata) in the organization
• An Information Design and Governance model that describes how
users will visualize, access, utilize and act on the insights generated
• An Agile IT Model that includes the foundational practices, skills and
approaches for driving agility into the organization
• An Analytics Operational Framework that helps establish where and
how analytics can be used within the enterprise and
• Active Business Ownership from Operational leaders within the
company who understand and use the insights generated to make
informed decisions
Building an analytics driven organization takes more than good technology
0
1
2
3
4
5
Data Foundation
Information Design
Agile IT Model
Analytics Operational
Framework
Active Business
Sponsorship
Smarter Organization – Our Approach

16. AGILITY THROUGH DESIGN
Data Foundation
The Data Foundation
defines:
• How data is organized and
used in the Enterprise
(Semantics)
• How data is persistently
stored and accessed
(Structure) and
• How data is managed and
understood (access, inquiry,
replicated, updated etc.)
Real-time and Batch Queries (OLTP and
OLAP)
Real-time queries
Data Warehouse, Data marts and Operational
Data Stores
Real-time In-memory Databases
Enterprise Data Governance
Customer Financial Functional
(HR, IT, Marketing,
Enterprise Risk
Management etc.)
Operational
(Product, Sales, Service,
Fraud Detection, Operations
etc.)
Metadata,Data Modeling, Master Data Management
Enterprise
Application
Integration (EAI)
Extract
Transform
& Load
(ETL)
Unstructured Data Loads
(pattern matching, stop
word filtering, backward
pointers etc.)
Real-time Integration
Structured Data
Operational data from internal
and external data sources
Unstructured Data
Digitaldata (audio, video),
text data (from social
networks) etc.
Semi-Structured and Real-
time Data
Data from real-time
sensors, high volume
transactions etc.
Source: Enterprise Data (Internal), Federated Data (External), Syndicated Data (External)
Volumes: Streams, High Volume, Low Volume
Latency: What is the latency of the data – real-time, near real-time or batched

17. AGILITY THROUGH DESIGN
Information Design
User Specific
Information
Context
Information
Visualization
and
Interaction
• What role do they play –
consume content or
create content?
• What are their
preferences?
• What are the capabilities
of the device they are
using?
• What is the context of the
interaction?
• Where is the interaction
happening?
• What is the nature of the
interaction? – support,
transactional etc.
• What are the constraints? –
Device capabilities, Location
awareness, Network
capabilities etc.
• How do we represent the
information being consumed?
• How does the system accept
inputs from the user?
• What does the interaction look
like if there is no human
involved?
• What are the requirements for
data access? – Fire and Forget,
Request/Response, Complex
Event Processing etc.

18. AGILITY THROUGH DESIGN
Information Governance
Understand Data Domains Information Classification Model Governance Model
Information Privacy, Security, Regulatory and Compliance Rules and Guidelines
Enterprise Risk Management
Confidential
Privileged
Public
Customer
Finance
Product/Pricing
Operational
Workforce
Personal Information – Name,
Address, SSN, Credit Car # etc.
Financial Performance Dataetc.
Non-identifiable individual data
Historical data
Customer interactiondata
Syndicated data
Public data
Historical data
• One Enterprise Governance
Board for all confidential
data, compliance and
regulations
• Information and IT security
policies are driven by the
Enterprise Governance
Board
• Business ownership and
stewardship for data
domains and Metadata

19. AGILITY THROUGH DESIGN
Agile IT for Analytics
Agile IT for Analytics will require a hybrid delivery model that takes into
account the data and privacy concerns and balancing with the need for
agility and the scarcity of key skills
Shared Analytics CenterOn Site
Private Data Privileged Public Data
Product Owners Data Scientists
Visualization and UX Designers
Operations Monitoring and Reporting
Analytics Solutions and Platforms
Business Stewardship and
Governance
Accuracy
Effort
Platforms
Ensemble
Methods
Deep Learning
Methods

20. AGILITY THROUGH DESIGN
Agile IT - Agile Analytics
User Story Maps
User Stories
Analytics Epics
Personas
Analytics Problems
Agile Delivery
Rendering and Visualization
Data Ecosystem and relationships
Information design
Analytics Patterns
Access and Integration
Use and Implementation

21. AGILITY THROUGH DESIGN
Agile IT – Adaptive Analytics Architecture
Visualization and User Interaction
Interaction Model – Fire-and-forger, Request-Response, Complex Event Processing (CEP)
Analytics Solutions – Social Analytics, Value Chain Performance Analytics, Customer Interaction Analytics etc.
Advanced Statistical
Modeling
Quantitative Analysis Linear Programming Markov Chain, Monte
Carlo Methods
Regression Models Simulation
OLTP, OLAP and Machine Learning, Ensemble, Deep Learning
Data Warehouse, Data marts and Operational Data Stores Real-time In-memory Databases
Enterprise Data Governance
Customer Financial Functional
(HR, IT, Marketing, Enterprise Risk
Management etc.)
Operational
(Product, Sales, Service, Fraud Detection,
Operations etc.)
Master Data Management, Distributed Map Reduce
Enterprise Application
Integration (EAI)
Extract Transform &
Load (ETL)
Unstructured Data Loads
(pattern matching, stop word filtering, backward
pointers etc.)
Real-time Integration
Structured Data
Operational data from internal and external data sources
Unstructured Data
Digitaldata (audio, video), text data (from social
networks) etc.
Semi-Structured and Real-time Data
Data from real-time sensors, high volume
transactions etc.

22. AGILITY THROUGH DESIGN
INTEGRATED INTO THE ECOSYSTEM
CONSUMED AS-A-SERVICE
SCALABLE, SECURE AND EXTENSIBLE
HIGHLY COHESIVE SET OF SERVICES
LOOSELY COUPLED INTERFACES
ENABLED BY OPEN API’S
PROVIDES VALUE TO ALL PARTICIPANTS
Agile IT– Platform Thinking
AGILE IT
DELIVERY
Ensemble
Hadoop
Spark
Machine
Learning
Algorithms
RBS
Analytics
Platform

23. AGILITY THROUGH DESIGN
Agile IT - Workforce Model
• 20% Specialized skills
• Data Scientists – Mix of statistical and quantitative skills (Left Brain) and pattern
detection/matching skills (Right Brain)
• Product Owners – Ability to breakdown complex problems into product features and
backlog that can be delivered incrementally
• Visualization and UX Designers – Creative and Design Thinking skills (Right Brain)
• 50% - IP, Framework and Platform Thinking
• 30% Delivery skills – Architects, Developers, Software Quality analysts etc.
• Mix of soft skills and technical skills, delivered a 10-20-70 learning model
• Formal and informal mentor-apprentice model
• Campus relationships with arts and science schools
• Industry-Academia interactions to drive new perspectives and to facilitate updates on new
techniques
• Job rotations to drive cross-skilling and enforce knowledge management requirements
• Retrospectives at all levels of delivery and operations to drive experiential learning
• Formal and informal knowledge sharing sessions to drive collective learning
• Context and relevance maintained through single-point of contact for business-specific details
• Use of Social networking tools to establish informal knowledge and experience networks
Sustainable
Workforce
Immersive
Learning
Experience
Management

24. AGILITY THROUGH DESIGN
Analytics Operational Framework
Workforce
Analytics
Operational
Analytics
Customer
Analytics
Financial
Analytics
We help businesses integrate analytics
with the key metrics that are tracked on
an organization’s Balanced Scorecard1
This framework:
• Defines and measures key business performance
metrics across all four quadrants of the balanced
scorecard
• Synthesizes findings and delivers insights to
business leaders
• Performs analysis on metrics including variation
and root cause analysis
• Implements a closed loop feedback mechanism
that helps understand results and refine the
insights and actions through agile delivery
1 Kaplan, R. S. and D. P. Norton. 1992. The balanced scorecard - Measures that drive performance. Harvard Business Review (January-February): 71-79.

25. AGILITY THROUGH DESIGN
• Business Agility is a core capability of today’s Smart Organizations
• Smart Organizations are powered by analytics and require a new and
comprehensive set of capabilities
• Traditional IT and Service provider models are inadequate to support Smart
Organizations
• Our innovative platform enabled delivery model provides Agility, Speed and
Quality @ Scale
Conclusion

26. AGILITY THROUGH DESIGN
About the presenter
Srini Koushik is President and CEOof Right Brain Systems, a SiliconValley-based think tank focused
on Digital Business and Business Agility . Srini was 30 years of experience as Programmer,
Architect, CTO, CIO and P&L owner at Fortune 100 Companies including IBM, HP and Nationwide.
Srini was most recently President and CEOof NTT Innovation Institute Inc. (NTT i3) the global R&D
lab established by NTT the Japanese Telecom company.
Srini is an Open Group Distinguished Certified Architecture profession leader. He has published
several articles, holds three patents, and co-authored a best-selling book, Patterns for e-business,
in 2001. He was elected to the IBM Academy of Technology, and was named an IBM Distinguished
Engineer in1996. He was alsonamed an Elite 8 CIO by Insurance and Technology, a Top 25 CIO by
Infoworld, a Top 10 All-Star inthe financial services industry by TechDecisions, and a
Computerworld Premier 100 Technology Leader in 2014.
Srini holds a bachelor’s degree in physics from the University of Madras, a master’s degree in
computer science from the University of Bombay, a master’s degree in business administration
from Ohio State University, and has completed executive education courses from both the MIT
Sloan School of Management and Duke University.
Srini enjoys skydiving, hang gliding and other extreme sports. He is currently working towards his
private pilot license. He enjoys traveling and has been to 55 countries and wants to visit the other
140 countries in his lifetime. He lives with his wife, daughter in Monte Sereno, California.

27. AGILITY THROUGH DESIGN
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