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A Fully Data Driven World
A path to intelligent “proactive” enterprises
Jay Bala
2015 Q2
A Fully Data Driven World
●  More Industries Being Transformed by Data
●  Every Enterprise Transforming to a fully Digital Future
●  Data is the Fuel for fully Digital Enterprises
●  Machines and Processes will be driven by Data
●  A Common Decision Framework for the fully Digital Future
●  Conclusions and Recommendations
●  2020 and Beyond -- A Glimpse!
More Industries Being Transformed by Data
Industries Transformation Benefits
Stock Trading (1980s+) ●  Computerized Trading Platforms
●  Real time Trades (Programmatic)
●  Much Larger Market
●  Doing stocks like retail
banking
Airline Reservations
(1990s+)
●  Anytime reservations/cancels
●  Real Time Pricing/Inventory
●  Much Larger Market
●  Massive convenience
Digital Commerce
(1990s+)
●  E-Comm, Mobile Commerce
●  Price comparison portals
●  Much Larger Market
●  New retail channel
●  Massive Convenience
Digital Advertising
(2000s+)
●  Real time Bidding for Ads
●  Programmatic Advertising
●  Targeted Advertising
●  Higher Conversions
Daily Life as-a-Service
(2010+)
●  Mobile App Driven Services
●  Marketplaces of “Specific” Needs
●  New Service Markets
●  Massive Convenience
Enterprise Decision
Making & Actions
(2020+)
●  Machine Intelligence Driven
●  “Decision-as-a-Service” Data Products
●  “Proactive” enterprises
●  Data Driven Decisions
●  BI for the “Masses”
Every Enterprise Transforming to a fully Digital Future
1990s
- Business
process
digitization
•  ERP, CRM, SCM
(Enterprise
workflow)
•  IVR, Call Center
Digitization
- Early web and
internet
2000s
- Data Movement
and Sharing
•  Data Warehousing,
ETL, Web Services
•  Business Intelligence
(Dashboards, KPIs)
- E-commerce
Channels,Web
Analytics
-Recommendation
Engines
2010s
- Social Media
Platforms
•  Network for each
customer, outreach
personalization
•  Real time community
interactions, feedback
- Mobile Devices,
Cloud Data
Platforms
-SaaS Applications
2020s?
Data is the Fuel for fully Digital Enterprises
Topic Operating Principles Benefits
Data Gathering ●  Always ON, Real time
●  Every touchpoint with
customer,prospect,market
●  Foundation for a fully data
driven enterprise
Data Storage ●  Infinite capacity to scale
●  In the Cloud
●  In any needed granularity
●  Anytime access
●  At any needed detail
Data Processing ●  As close to event (Streaming)
●  In memory, at scale
●  Schema-on-Read driven
●  Real time enterprise
●  Responsive to customer,
market needs
Data Analytics ●  Customer Activity Focused
●  Ad Hoc and Packaged
●  Verticalized by default
●  Low latency (secs to mins)
from event to analytics
●  Always ‘ON’ cockpit
Data Driven Actions ●  Driven by Recommendations
(machine intelligence driven)
●  Top ‘N’ Actions driven approach
●  Proactive Actions
●  Low latency (hours) to
proactive/corrective actions
Machines and Processes will be driven by Data
What
Action?
•  Machine Intelligence Driven (fueled by real time data)
•  Easily packaged “data decision” products (ex: target customer segment
with XYZ, prevent customer X from leaving with offer Y etc.)
•  With “likely” $$ benefit over a timeline range
When?
•  Next 24-48 hrs, 3-7 days
•  7-15, 15-30 days
•  > 30 days
Who Drives
Action?
•  Chosen roles and people for “types” of data products
•  Based on $$ impact ranges
•  Standard Operating Procedure (SOP) driven
Key GOALs:
•  Inertia-free “Central Nervous System” like the human body
•  With some ability to self-correct for “Low $$ Impact” items
A Common Decision Framework for the fully Digital Future
“Decision-lets”
●  Small bites of actions (under each of the above)
●  Each based on deep learning from past data etc.
●  With likely outcomes ($$ impact)
●  Recommended execution time frame for maximum impact
• Schedule for Regular
Operations
• Preventive Maintenance
• Predictive Maintenance
• Hire New
• Develop and Promote
• Retrain, Review
• Introduce New Product
or Service
• Change Product Mix,
Pricing
• Retire Non-Performing,
Legacy Products
• Acquire New Customers
• Deepen Engagement with
Current
• Pre-empt Customer
Churn
• Block Fraud (Customer
Blacklist)
CUSTOMERS PRODUCTS
DEVICESPEOPLE
Conclusions and Recommendations
●  Data has made deep inroads into Enterprises over the last 20-30 years
●  With utility style pricing for storage and processing upon us, Enterprises need
to embrace a fully “data driven future”
●  Those that do will come out winners in the emerging fully Digital world of the
future!
July 23, 2015 News:
“Amazon just surpassed Walmart in market cap”
2020 and Beyond -- A Glimpse!
RecommendedActions
OutcomesfromRecent
Actions
Image Source : P&G Decision Cockpit

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A Fully Data Driven World

  • 1. A Fully Data Driven World A path to intelligent “proactive” enterprises Jay Bala 2015 Q2
  • 2. A Fully Data Driven World ●  More Industries Being Transformed by Data ●  Every Enterprise Transforming to a fully Digital Future ●  Data is the Fuel for fully Digital Enterprises ●  Machines and Processes will be driven by Data ●  A Common Decision Framework for the fully Digital Future ●  Conclusions and Recommendations ●  2020 and Beyond -- A Glimpse!
  • 3. More Industries Being Transformed by Data Industries Transformation Benefits Stock Trading (1980s+) ●  Computerized Trading Platforms ●  Real time Trades (Programmatic) ●  Much Larger Market ●  Doing stocks like retail banking Airline Reservations (1990s+) ●  Anytime reservations/cancels ●  Real Time Pricing/Inventory ●  Much Larger Market ●  Massive convenience Digital Commerce (1990s+) ●  E-Comm, Mobile Commerce ●  Price comparison portals ●  Much Larger Market ●  New retail channel ●  Massive Convenience Digital Advertising (2000s+) ●  Real time Bidding for Ads ●  Programmatic Advertising ●  Targeted Advertising ●  Higher Conversions Daily Life as-a-Service (2010+) ●  Mobile App Driven Services ●  Marketplaces of “Specific” Needs ●  New Service Markets ●  Massive Convenience Enterprise Decision Making & Actions (2020+) ●  Machine Intelligence Driven ●  “Decision-as-a-Service” Data Products ●  “Proactive” enterprises ●  Data Driven Decisions ●  BI for the “Masses”
  • 4. Every Enterprise Transforming to a fully Digital Future 1990s - Business process digitization •  ERP, CRM, SCM (Enterprise workflow) •  IVR, Call Center Digitization - Early web and internet 2000s - Data Movement and Sharing •  Data Warehousing, ETL, Web Services •  Business Intelligence (Dashboards, KPIs) - E-commerce Channels,Web Analytics -Recommendation Engines 2010s - Social Media Platforms •  Network for each customer, outreach personalization •  Real time community interactions, feedback - Mobile Devices, Cloud Data Platforms -SaaS Applications 2020s?
  • 5. Data is the Fuel for fully Digital Enterprises Topic Operating Principles Benefits Data Gathering ●  Always ON, Real time ●  Every touchpoint with customer,prospect,market ●  Foundation for a fully data driven enterprise Data Storage ●  Infinite capacity to scale ●  In the Cloud ●  In any needed granularity ●  Anytime access ●  At any needed detail Data Processing ●  As close to event (Streaming) ●  In memory, at scale ●  Schema-on-Read driven ●  Real time enterprise ●  Responsive to customer, market needs Data Analytics ●  Customer Activity Focused ●  Ad Hoc and Packaged ●  Verticalized by default ●  Low latency (secs to mins) from event to analytics ●  Always ‘ON’ cockpit Data Driven Actions ●  Driven by Recommendations (machine intelligence driven) ●  Top ‘N’ Actions driven approach ●  Proactive Actions ●  Low latency (hours) to proactive/corrective actions
  • 6. Machines and Processes will be driven by Data What Action? •  Machine Intelligence Driven (fueled by real time data) •  Easily packaged “data decision” products (ex: target customer segment with XYZ, prevent customer X from leaving with offer Y etc.) •  With “likely” $$ benefit over a timeline range When? •  Next 24-48 hrs, 3-7 days •  7-15, 15-30 days •  > 30 days Who Drives Action? •  Chosen roles and people for “types” of data products •  Based on $$ impact ranges •  Standard Operating Procedure (SOP) driven Key GOALs: •  Inertia-free “Central Nervous System” like the human body •  With some ability to self-correct for “Low $$ Impact” items
  • 7. A Common Decision Framework for the fully Digital Future “Decision-lets” ●  Small bites of actions (under each of the above) ●  Each based on deep learning from past data etc. ●  With likely outcomes ($$ impact) ●  Recommended execution time frame for maximum impact • Schedule for Regular Operations • Preventive Maintenance • Predictive Maintenance • Hire New • Develop and Promote • Retrain, Review • Introduce New Product or Service • Change Product Mix, Pricing • Retire Non-Performing, Legacy Products • Acquire New Customers • Deepen Engagement with Current • Pre-empt Customer Churn • Block Fraud (Customer Blacklist) CUSTOMERS PRODUCTS DEVICESPEOPLE
  • 8. Conclusions and Recommendations ●  Data has made deep inroads into Enterprises over the last 20-30 years ●  With utility style pricing for storage and processing upon us, Enterprises need to embrace a fully “data driven future” ●  Those that do will come out winners in the emerging fully Digital world of the future! July 23, 2015 News: “Amazon just surpassed Walmart in market cap”
  • 9. 2020 and Beyond -- A Glimpse! RecommendedActions OutcomesfromRecent Actions Image Source : P&G Decision Cockpit