7. Agenda
#1. Impact and Opportunity Big Data has created.
#2. Big Data Value Creation in Enterprise & Consumer
#3. Value Capture in Big Data for Government
10. Attack of The Exponential Age (Hockey Stick)
Delta Cost has decrease:
• Storage
• Computation
• Mobile
• Cloud (New Models)
• SaaS, PaaS, IaaS
• Do More with Less …
21. Big Data awareness goes all the way to the top:
• Big Data Opens up new possibilities
• Privacy and securities needs to be revisited
• Talents and knowledge is short in supply
22. Key Questions C-Level asked most
Are we getting left behind
by our competitors?
Can we use
technology-enabled
trends to change the
game?
What can we learn from
other industries?
What is a good place to
start in building this BD
technology position?
How can we
sustain a pipeline
of opportunities
over time?
How can our Company
Win
With Technology?
2
3
4
5
1
23. The ease of capturing big data’s value , and the magnitude of
its potential, vary across sectors.
Source: Mckinsey
24. All Top Tier Consultants have their “Big Data Gigs”
25. When Big Data meets Analytics
Values
&
Insights
Analytics
Attribution
Algorithm
3A’s
Volume
Velocity
Variety
Veracity
4V’s
26. From Data to Analytics to Result
Analytics
DeploymentCapture & ETL
36. • When Big Data Meet Machine Learning
= Deep Learning
• Google = Google Brain $$$$$
• Microsoft = Microsoft ML $$$$
• IBM = Watson (7 years) $$$$$$$
• LinkedIn = Image Machine learning $$
• Facebook = Deepface AI $$$
• DARPA = NLP (mixed languages) $$$$$
Deep Learning: Intelligence from Big Data
42. Summary
1. Exponential Growth in Data Created, Collected and Stored.
X10 increase in “Situation Awareness” with Big Data. Rethink
intuitional approaches to decision process.
2. BD is not a “Silver Bullet” but a new philosophy of problem
solving. It is not just a technology answer but a holistic
approach we should be seeking.
3. Private sector and Enterprise are attacking this “Fog-of-Data”
with “Evidence-Based Decisions” , increasing both the tempo
and speed of decisions.
4. Big Data will have Top-line and bottom-line implications for
companies and far reaching effects on the economy.
43. Key Issues need to be addressed
• Privacy concerns
• Data security issues
• Intellectual ownership and liability issues
Big Data
Policies
• Deployment of Technologies
• Legacy system or inconsistent data formats
• Ongoing innovation (Collaborative & Open)
Technology and
Technique
• Access to “Foreign” data
• Integrating with own proprietary data
• It’s Social, IOT, mobile, Cloud,
Data Available
(Real-time)
• Talent Shortage, Stop looking start Grooming
• Leadership that understands Big Data
• Align workflows and Incentives
Organization
Change and
Talent
44. Conclusion/Next steps
1. Big Data is the New Oil. Secret-sauce is in the extraction
process
2. From Data to Wisdom, that journey is gain through
learning, trying and experimenting.
3. Big Data offers New possibilities and enrichment of
current opportunities while creating new ones.
4. Start Now, Start Small, Iterate Fast (not to lose sight on
the Privacy and security issues)
(Democratization of tools, data, technology)
