1. Digicloud 2017 First Mover or Fast Follower? Big Data for Everyone
22/03/2017
Alexandre Akrour
CEO

2. The Bottom line is what matters for businesses

3. Benefits are driven by Revenue and Costs…

4. …But Revenue is driven by Customer Satisfaction…

5. “ ” If I had asked my customers what they wanted they
would have said a faster horse ”
Henry Ford

6. …And costs by efficient business operations!

7. 7billion 90% 50 billion 500 billion People “Big” Data Things
Pillars of Digital Transformation
People
7billion
7 billion people will have access to internet by 2020
“Big” Data
90%
90% of the data created in the last two years. 40 zettabytes by 2020
Things
50 billion
50 billion devices connected to the internet by 2020.
Applications
500 billion
New generation of applications and services API Economy
Online sales to cross $500 billion in 2020

8. Artificial Intelligence Revenue By Region, World Markets: 2015-2024

9. Ok, Is it too late now?

10. “ ” First mover advantage doesn't go to the company that
starts up, it goes to the company that scales up ”
Reid Hoffman, Linkedin

11. Big Data Maturity Index

12. Capitalizing on Big Data
Source: Analytics: A blueprint for value – Converting big data and analytics insights into results
IBM Institute for Business Value

13. Ease to capture Potential Value

14. Recommendation engines
Financial Services
Fraud Detection
Credit card fraud contributes to 40% of banking fraud
Total amount of credit card fraud worldwide added up to $7.5 billion in 2015
Risk analysis
Risk analysis based on deep analytics
Portfolio analysis
360 degree view of all portfolios
Recommendation engines
Customized recommendations based advanced analytics
Special services for premium customers

15. Major pharmaceutical and clinical Research
Healthcare
Healthcare spending
US: Expected to increase 5 to.8% annually until 2024
• US: 17% of GDP, UK: 8.8% (2014)
Fraud-Prevention
The National Health Car Anti-Fraud Associa tion (NHCAA) estimates
that between $68 and $226 billion is lost annually to fraud
System-of-Records
Reduce the amount of time providers spend doing paperwork, reduce
medical errors
Improved patient health/quality of care through better disease management
and patient education
Major pharmaceutical and clinical Research
Big Data analytics could save $100B in annually across US Healthcare
system (McKinsey)
Personalized medicine

16. Recommendation engine
Retail
Recommendation engine
Recondition Engine are transcribing the in-store and on-line shopping experience by providing ratings and reviews, filtering and price optimization all these are provided by modern big data platforms.
Customer relationship management
Big Data Insights enables improved product sand services, self- service, personalization and better customer service
Supply chain optimization
Optimizes supply-side of business activities such as new product development, product and product distribution to maximize revenue, profits and customer value.
Store location and layout
Big data solutions is transforming customer in-store experience by providing personalized product catalogs and location services

17. Workforce and asset management
Utilities
Smart Grid
Broad range of intelligent capabilities across customers, operations, and services
Avoiding manual collection reduces outages and downtime, detect energy loss, theft and fraud
Capacity management
Improve load, forecasting and demand accuracy
Improve targeted offerings
Workforce and asset management
Optimize maintenance, repair and field service. Regulatory and compliance
Predictive maintenance
Exploration
Newer modeling techniques 23 16

18. Performance improvements
Manufacturing
Performance improvements
Continuous improvement through integrating Big Data analytics across the Six Sigma DMAIC- Define, Measure, Analyze, Improve and Control
Better forecasts
Forecast product demand and production
Greater visibility into supplier quality level
Asset optimization
Monitor, maintain and optimize for better availability, utilization and performance
Predictive maintenance
Conditional monitoring
Predict asset failure to optimize quality and processes 17

19. Big Data Engagement Lifecycle
The Approach

20. 3 months Test, find potential, identify limits Plan the future
Proof of Concept: T+3 Months
3 months
Test, find potential,
identify limits
Plan the future

21. Data, business and technology in collaboration
Analytics
T+5months
Get a tool immediately
Data, business and technology in collaboration

22. Building, installing, breaking, fixing
Customer Facing Products : T+9 Months
The showcase
Building, installing, breaking, fixing

23. Early adopters Feedback and improve Data operating model
Broadening: T+12 Months
Early adopters
Feedback and improve
Data operating model

24. Expansion of projects: 12X Expansion of business users: 30X
Scale up: T+24 Months
Expansion of data: 10X
Expansion of projects: 12X
Expansion of business users: 30X
Automate and reuse

25. Guided self service Data is a public good Love your data
Democratization: T+24 Months
Guided self service
Data is a public good
Love your data
Care for your data

26. Scientific Embedded Real time Cultural change
The Data Driven Organisation: T+???
Scientific
Embedded
Real time
Cultural change

27. Sample: Agriculture ?

28. “
It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change. ”
Leon C. Megginson, attributed to Charles Darwin