Becoming a cognitive business is a journey, not a destination. A cognitive analytics culture is not something you can just buy or install. Although the right technology is crucial, its true value arises when the organizational mindset changes. Many organizations have learned to embrace analytics, but embracing cognitive is another step entirely, and it’s one that may be even more challenging. However, the possibilities are endless and the potential rewards make it worthwhile.
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With you today are…
Analytics leaders who want to share and discuss how a strong analytics
foundation will help propel organizations into the cognitive era.
JULIE SEVERANCE
Global Leader
Analytics Strategy & Initiatives
IBM
BRIAN GREEN
Manager
BI & Performance Management
BCBS Tennessee
MARK LACK
Director
Cognitive Analytics
Mueller, Inc.
KAY VANDEVANTER
Technical Leader
Analytics
The Boeing Company
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Leaders must capitalize on all the foundational
work they’ve done to deploy data and analytics.
Becoming a Cognitive Business is a journey,
not a destination
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Cognitive
understand, reason, learn
Descriptive
discover, report, analyze
• Puts data and insight to work
• Offer new services, reach new buyers
• Reinvent and Outthink competitors
Predictive
Predict, decide, act
Volume (data at rest)
Velocity (data in motion)
Variety (many forms of data)
Veracity (data in doubt)
Prescriptive
Prescribe, optimal, next best action
What are the characteristics of a
Cognitive Business?
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Possibilities are endless when evolving analytics
ruled based systems to cognitive learning systems
analyze user activity to
support or automate tasks
→ rule based
understand user activity
and its context to offer
insights (cognitions),
solutions or active
assistance
→ learning
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Analytics Cognitive
Addresses predefined
problems
Addresses ambiguous
problems
Provides accurate and
definitive answers
Provides answers with a level of
confidence or a margin of error
Handles information with
known semantics
Handles information without
explicitly knowing semantics
Interacts in formal digital
means (e.g. commands,
screens) with humans
Interacts in natural language
with humans
Analytics creates a value continuum for cognitive
Analytics’ data-driven approach + cognitive computing’s knowledge driven approach
solve different elements of business problems – together delivers greater value
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Resulting in increased expertise and productivity
8
People could
accomplish one task at
a time
Cognitive computing
enables rapid
augmentation and
expansion of human
capability and skills
Cognitive
CAPABILITY
Digital
TIME
Pre-digital
Digital computing enables
people to multitask
efficiently, and connect
globally
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Many organization have challenges in
achieving excellence
Skills, lack of data governance, and internal organizational resistance
are the top three challenges perceived by the organizations
Source: IBM Institute for Business Value Cognitive Computing Survey (Q24) 2015 Cross- Industry dataWorld of Watson 2016
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Strategy/Value: How do you
define value to get stakeholder
buy-in while folding in new
capabilities without to much
disruption?
People/Process: How do you lay
the foundation to develop new
specialized cognitive business
skills and IT technical skills?
Technology: How do you manage
the change and learn to implement
and manage cognitive technology
capabilities?
PEOPLE & PROCESS
STRATEGY & VALUE
TECHNOLOGY
World of Watson 2016
Panel: Journey to a Cognitive Excellence
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“
”
What’s the cost of not being a Cognitive business?
The biggest threat
is not my current
competitors but the
ones that I don’t
know about yet.
Mark Lack, Director of Cognitive Analytics
Mueller, Inc.
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“
”
What’s the cost of not being a Cognitive business?
Kay Vandevanter, Analytics Technical Lead
The Boeing Company
Being cognitive is key to driving
competition advantage in the global
aerospace marketplace.
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“
”
What’s the cost of not being a Cognitive business?
Brian Green, Manager BI & Performance Management
BCBS of Tennessee
We can’t meet the demands of our
members and clients if we’re not
using all of the resources and data
available to us. Being Cognitive
creates better patient outcomes.
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How to tackle challenges? Align foundational
strategies
PEOPLE & PROCESSSTRATEGY & VALUE TECHNOLOGY
Source: 5 Keys to Business Analytics Success Book, Publisher MC Press On-line
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STEP 1:
Novice
• Inflexible
• Spreadsheets
• Extracts
• Manual
Intervention
• Static Reports
• No governance
Builder
STEP 2:
• Departmental
• Task automation
• Silo’d data, KPIs
• Some standards
• Some self-service
• Emerging CoEs
• Minimal governance
STEP 3:
Leader
• Cross-functional
• Applied analytics
• Aligned data, KPIs
• Trusted information
• Common standards
• Full self-service
• Aligned CoEs
• Formal governance
• Emerging cognitive
STEP 4:
Master
• Enterprise aligned
• Executive Sponsor
• Highly collaborative
• 360 degree insights
• Analytics-driven
culture
• Strong analytics
program &
governance
• Embedded cognitive
Manual, slow, error prone,
cumbersome, fragmented data
quality concerns
Automated, instant, accurate,
seamless, converged Data
governance is in place
Increase AQ maturity and embed cognitive
Source: 5 Keys to Business Analytics Success Book, Publisher MC Press On-line
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Organizational design matters
Source: 5 Keys to Business Analytics Success Book, Publisher MC Press On-line
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Lay the foundation Manage the changeDefine the value1 2 3
Find the right
opportunities for
cognitive
Define the value
proposition and chart
a course for cognitive
Be realistic about
value realization
Invest in specialist
human talent and skill
development
Build and ensure a
quality data and
analytics corpus
Measure maturity,
readiness, consider
impacts, business
processes, and policy
requirements.
Ensure executive
involvement along
the cognitive
journey
Communicate the
cognitive vision at
all levels
Continue to raise
maturity at every
level.
Success factors: Journey to Cognitive Excellence
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“Designers… don’t try to search
for a solution until they have
determined the real problem, and
even then, instead of solving that
problem, they stop to consider a
wide range of potential solutions.
Only then will they finally converge
upontheirproposal.Thisprocessis
calleddesignthinking.”
— Don Norman17 World of Watson 2016
Consider using IBM ‘Design Thinking’
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5 Keys to Business Analytics Program Success Book
This book is a great starting point and offers a lot of valuable information on
strategy to build a success analytics program. Co-written with IBM and some of
our top strategic clients. The hardcopy book is also available on Amazon for
purchase.
Design Thinking Offerings
This content provides more details on the IBM Design Thinking approach and
methodology. Includes links to various offerings around hosting an IBM Design
workshop.
DataFirst Method Offerings
This content provides details on IBM’s newly launched methodology around how
to get the most use and value from data. Includes links to various offerings based
upon need.
Resources to learn more
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at IBM’s sole discretion.
Information regarding potential future products is intended to outline our general product direction and it should
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disclaimers
continued
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Editor's Notes
Welcome to the Journey to Cognitive Excellence: Harness the Force of a Strong Analytics Foundation Panel Discussion.
I am Julie Severance a Global Leader in IBM Analytics Strategy and Initiatives Office. I have global accountability leading and managing data and analytics strategic advisory council initiatives and partnerships with innovative thought leaders and digital disruptors – to collaborate jointly to validate and pioneer future solutions; methodologies and best practice that will help to empower organizations to re-invent and outthink in the digital economy.
I am delighted to be here today as your moderator which we hope will be a very free discussion on how to achieve cognitive excellence with some of the leading people that are at the forefront of evolving their advanced analytics capabilities making it a reality in each of their respective organizations and industries.
I am going to go ahead and do a quick introduction – Over here we have Mark Mueller, Director of Cognitive Analytics at Mueller in Inc., then Kay Vandevanter, Analytics Technical Leader at the Boeing Company and Brian Green, Manager for BI & Performance Management at BCBS of Tennessee.
I also want to pass on that the members of our panel are all co-authors or visiting thors of the “5 Keys to Business Analytics Program Success” book which provided thought leadership, best practices and the tools required to create a successful Business Analytics Program - which is based off the experience of leading organizations like that of our panel members that display analytics excellence.
How I want to start is to get some sort of bigger picture -- First I want to state that becoming a Cognitive business is a journey,not a destination.
So IBM, we are know to do a lot of research -- and according to a recent IBM Institute of Business Value survey - almost three-quarters of more than 6,000 organizations have the data and analytics capabilities needed to start their cognitive journey…
Although the right technology is crucial, its true value arises when the organizational mindset changes -- because a cognitive analytics culture is not something you can just buy or install. Many organizations have learned to embrace their data and analytics foundations, but embracing cognitive is another step entirely, and it’s one that may be even more challenging.
Key points here are:
In the mature space (e.g BI), differentiation is based on ease of use and context/role specific solutions
In the active space, can also differentiate on data size and solution speed/accuracy
In the emerging space around cogntive.
However, the possibilities are endless and the potential rewards make it worthwhile. It’s important to understand that analytics and cognitive technologies are fundamentally different.
Analytics is a ruled-based system that applies predetermined algorithms to vast amounts of data. It requires you to know what you’re looking for, and how to ask in a way the system can understand. By contrast, a cognitive system can learn, and can interact with people using natural language. That means an unprecedented flexibility and agility: you can ask the system what you want, and it can figure out new and better ways of interpreting data and reaching goals.
In other words, you no longer have to tell the computer system exactly what to do.
And our research shows us – to excel you have to recognize the importance of building a strong foundation that embraces all forms of data and advanced analytic capabilities. And when you introduce cognitive capabilities into the organization, the possibilities are endless. While analytics handles the structured data, cognitive can dive into unstructured elements such as texts, pictures, blogs, social media and more. Taken together, cognitive and analytics can address different business needs, and can see the same data from different perspectives, bringing greater insights than either individual technology.
Develop, define and align your organization’s cognitive business strategy with user needs and experiences, tackling challenges and solving problems to delivery your future cognitive capabilities and ensure success.
Organizational design – like a President’s Cabinet – that consists of skilled experts in IT and the business who manage a business analytics program across the enterprise with focus on foundational strategies that address how to measure and build use cases that show value, empowering people, process and technology.
With the emergence of the CDO and CAO role the design will help that leader get buy from key stakeholders across the business. It will also allow execution for strategies around data, analytics and cognitive computing and measure of value to the business.
While the capabilities and limits of computing continue to evolve, many of the fundamental success factors never change. How these systems are implemented and how users interact with them is fundamentally different than traditional input/output systems. It is often a challenge for organizations to understand this fact and determine how to best apply this capability in their organization. Our interviews with SMEs that have implemented cognitive computing solutions in pioneering organizations have revealed three key factors critical to a successful cognitive computing implementation.
1. Define the value
2. Prepare the foundation
3. Manage the change
WHERE ARE YOU ON YOUR JOURNEY? HOW WILL YOU GET STARTED? OR HAVE YOU ALREADY STARTED AND HAVING CHALLENGES?
Where do you start your own journey to solve the problems you’re facing down today yet in entirely new ways?
The possibilities can seem endless, so narrow your focus. Not every problem you have is a cognitive problem to solve.