This presentation introduces the concept of an opportunity driven enterprise which goes beyond being data driven. An opportunity driven enterprise leverages cognitive technologies, big data, semantic technologies, and advanced analytics in a unified framework.

1. SATYENDRA RANA – LOVEN SYSTEMS
Toward an Opportunity
Driven Enterprise: Why &
How?
Satyendra Rana
CTO - Loven Systems
March 24, 2016
3rd Big Data & Business Analytics Symposium – March 24, 2016
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2. SATYENDRA RANA – LOVEN SYSTEMS
Achieving Business Excellence
Sustain ------------------ Grow
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Big
Data
People Processes
Technology
Value
People, Process, Technology
Synergy
Big Data
Phenomenon
Quantified Enterprise
Opportunity Driven
Enterprise

3. SATYENDRA RANA – LOVEN SYSTEMS
Opportunity Driven Enterprise
What’s different?
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Data Driven
(Naïve Approach)
• Starts with Data
• First Milestone - Data Lake
• Embellish by Data Visualization
• User must understand Data
• User reaches out to System (Discovery)
• Produce Analytics
• Develop Data Strategy (CDO)
Opportunity Driven
(Cognitive Approach)
• Starts with Value
• First Milestone – Opportunities Flow
• Embellish by Natural Language Interaction
• System understands Data
• System reaches out to User (Guidance)
• Consume Analytics
• Develop Opportunity Management Strategy
(COO)

4. SATYENDRA RANA – LOVEN SYSTEMS
Path to Excellence
Enterprise Risk & Change Management
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“You cannot
steer, what
you cannot
quantify”
Foundation of quantification is measurement
“What Gets
Measured
Gets Done”
Quantification Reflection Adaptation

5. SATYENDRA RANA – LOVEN SYSTEMS
Quantification
What should we measure?
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Quantified
Workforce
“We don’t know how to measure
what we care about, so we care
about what we measure”
- Richard Tapia
“Not everything that counts can
be counted, and not everything
that can be counted counts”
- Albert Einstein
Quantified
Consumer
Data Trail
IOT
Quantified
Process
You need to measure what is meaningful. You need to measure to find out what you need to measure that is meaningful.

6. SATYENDRA RANA – LOVEN SYSTEMS
Reflection
Reflection is a cognitive process
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Data Science is still an Art
1. An Opinion formed after a Careful Thought. 2. Learning from Experience

7. SATYENDRA RANA – LOVEN SYSTEMS
Adaptation
Adaptation is a Cognitive Process
Shameification
Why do we resist change?
Change is hard
 Fear of loss
• something of personal value
 Uncertainty
• about personal ability to cope
 Switch to survival instinct
• rationality goes out the door
 Not believing
• plans perceived as unrealistic Whatistheroleoftechnology?

8. SATYENDRA RANA – LOVEN SYSTEMS
Quantified Self-Movement
What can we learn?
3rd Big Data & Business Analytics Symposium – March 24, 2016 8
The quantified self-movement (QS) is about
acquiring self-knowledge for the end goal of gaining deeper insight about personal habits.
Taking a leap from quantified self to quantified enterprise is quite tempting.
Interesting Motivating Changing
 Is that how I am?
 I wonder!
 What if?
 Tracking reality vs
how I think about
reality?
 Non-judgmental
 Private
 It is in my interest
 I am in charge
 It really works
 Internal motivators
 Simplest rewards can
trigger dopamine
 Gamification
 Making aware of what needs
to change
 Help set incremental &
realizable goals
 Providing meaningful &
contextual recommendations
 Self-determination
 Empowerment

9. SATYENDRA RANA – LOVEN SYSTEMS
DIWO®
Cognitive Analytics Solutions Platform by Loven Systems
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DIWO’ism
 Capture Data with a Purpose (Opportunity Driven)
“Ask not what data can do for you,
ask what you can do if you have the data”
 Don’t wait for perfect data (Evolutionary)
 Real world is messy, so is its data trail. Let it not be an excuse
for inaction.
 One can start with partial and messy data & improve over time
 No need to re-learn what is known to work well (Knowledge-
Based & Contextual)
 (Semantics + Analytics) is much larger than the sum of its
parts.
 Trust can trump Quality (Empowering)
 A system with high quality may not be adapted for lack of trust
in its working
 Building trust is usually cheaper than perfection
 Let machine wake you up, then vice versa (Preventive)
 When in doubt, ask the machine. When you doubt the machine,
ask for evidence (Conversational)

10. SATYENDRA RANA – LOVEN SYSTEMS
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