This presentation covers the following main points: 1- Basic Concepts & Definitions of: - Digital Business - Business Intelligence - Real-time Operational Intelligence - Big Data - Advanced Analytics - Big Data Analytics 2- How to Formulating your Big Data Strategy 3- How to Build your Digital Business and Analytic Platforms 4- Case Study on point 2 and 3 5- Big Data Platform Integration Options & Cost Benefit Trade off

1. 6 – 7 March 2019 | Dubai
HARNESSING TRANSPORTATION BIG DATA WITH ANALYTICS
IN THE AGE OF DIGITAL BUSINESS TRANSFORMATION
ALAA MAHJOUB
DATA MANAGEMENT SENIOR EXPERT
DoT, Abu Dhabi, UAE
linkedin.com/in/alaa-mahjoub
Thursday, 7 MARCH 2019

2. Decades of experience in Transportation, Oil & Gas, Utility and
Defense
A leading contributor to the Enterprise Architecture (EA),
Enterprise Information Management (EIM) and Industrial
Automation & Control Systems (IACS) Programs in, ADCO,
TRANSCO and DoT
Led the transformation of the control and information systems’
architecture during the restructuring of the water & electricity
sector in the Emirate of Abu Dhabi
B.Sc. And M.Sc. in Computer Engineering
Numerous research publications in IACS and Data
Management
MIDDLE EAST RAIL 2019, INCORPORATING SMART MOBILITY
Alaa Mahjoub
Data Management Senior Expert
Department of Transport, Abu Dhabi

3.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

4.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

5. DIGITAL BUSINESS
People Business
Things
Digital business is …
… the creation of new business designs by blurring the digital and physical worlds
due to the convergence of people, business and things

6. People
Social Network
Calendar
Location
Online Transportation Request
Places
No. of People Here
No. of People Visited
Wait Time
Reservation Service
Information
Bus Schedule
Expected Disruptions
DIGITAL BUSINESS CONNECTS PEOPLE, PLACES, THINGS AND INFORMATION
Things
Time to Green
No. of Cars: No Stop
No. of Cars: Stopped
Taxi Location
Speed
Online Request
Location
Diagnostics
Digital business delivers value by …
… rethinking, reinventing, reimagining and transforming current business models to leverage social,
mobile, information and cloud, as well as the Internet of Things

7. LEVERAGING THE INFORMATION COLLECTED FROM THE MANY SOURCES
EXAMPLE : LONDON TUBE HEARTBEAT (BY HERE)
HTTPS://COMPANY.HERE.COM/HERE/
Click here to access the web site

8.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

9. BUSINESS INTELLEGENCE
An umbrella term that spans the people, processes and applications/tools to
organize information, enable access to it and analyze it to improve decisions
and manage performance
People ToolsProcess
Performance
Information

10.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

11. REAL-TIME OPERATIONAL INTELLIGENCE
A real-time dynamic business analytics that delivers visibility and insight into
data, streaming events and business operations
Orient Decide ActObserve
OODA Loop

12.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

13. BIG DATA
High volume, velocity and/or variety information assets that demand cost-
effective, innovative forms of information processing that enable enhanced
insight, decision making, and process automation
VarityVelocity
Volume
BIG DATA

14.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

15. Is a specific form of analytics: a collection of related analytics techniques and
tools, usually including predictive analytics, data mining, statistical analysis, and
complex SQL.
Analytics
Advanced
Analytics
ADVANCED ANALYTICS

16.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

17. BIG DATA ANALYTICS
Big data analytics = advanced analytics + big data sets
Advanced
Analytics
Big Data Analytics
Big Data

18.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

19. BIG STRATEGY ESSENTIALS
A. Identifying potentially valuable data sources
B. Generating ideas for big data
Essentials of Big data Strategy
IT RelatedBusiness Related
A. Ensuring infrastructure adequacy
B. Expanding analytical capabilities

20.  Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
 Formulating your Big Data Strategy
 Building your Digital Business and Analytic Platforms
 Case Study
 Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

21. EmployeesCustomers
Things
Ecosystems
Platform
IoT
Platform
Data &
Analytics
Platform
Information
Systems
Platform
Partners
ARCHITECTURE OF TRANSPORTATION DIGITAL BUSINESS PLATFORM
Customer
Experience
Platform
Runs the core business applications, back
office applications, infrastructure
applications, endpoint device applications
and operational technology applications
Run the customers and
citizens facing applications
such as customer portals, B2C
and B2B
Connects physical assets (Things)
such as Busses, Taxis and Traffic
Signals for monitoring, optimization,
control and monetization
Supports the creation of, and connection to,
external ecosystems, marketplaces and
communities relevant to the enterprise business
such as government agencies, smart cities, credit
card networks, DoT, ambulance, etc.
Contains the Data
Management and
Analytics tools and
applications

22. IOT PLATFORM ARCHITECTURAL BUILDING BLOCKS
Partner Owned Things
Gateways
Agents
Customer Owned Things
Gateways
Agents
Gateways
Agents
Enterprise Owned Things
Gateways
Agents
AggregatedDeviceManagement
IntegrationMiddleware
BI and Analytics
Data
Orchestration
To other Digital Business Platforms
Communication

23. Data Virtualization
Analytics Applications
Business
Intelligence
Data
Warehouse,
ODS, DM
DATA AND ANALYTICS PLATFORM ARCHITECTURAL BUILDING BLOCKS
RT Operational
Intelligence
Big Data Analytics
Big Data
ETL
CEP
MDM
MEM
DQ
ILM
Data
Taxonomy
Auto
Classification
Data
Modelling
Enterprise
Content
Management
Analytics Platform(s)
Data and Analytics Platform

24. Build Metro
Network
1
Connect IoT
Endpoints
4
Install IoT
Endpoints
(e.g., Turnstiles)
2
Customer
s
Connect
Customer
5
Connect
Ecosystems
6
Install
Digital
Business
Platform
Ecosystems
Platform
IoT Platform
Customer
Experience
Platform
Data &
Analytics
Platform
Information
Systems
Platform
3
TRANSPORTATION DIGITAL BUSINESS PLARFORM USE CASE (ILLSTRATIVE EXAMPLE ONLY)
CONNECTED METRORAIL

25. Coordination of Multi-modal Transportation Network
Integrate with Door to Door Travel as a Service

26. Innovate &
Transform
Prototype IoT & Ecosystems Platform
Modernize IS, CX, and
Data and Analytics
Platforms
Improve
Services
Digital Business Transformation Roadmap
Establish
Digital Business
Capabilities
IMPLEMENTATION ROADMAP

27. Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
Formulating your Big Data Strategy
Building your Digital Business and Analytic Platforms
Case Study
Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

28. INTEGRATION OF BIG DATA ANALYTICS WITH IoT SYSTEMS
USE CASE: TRANSPORT FOR LONDON
- TfL is a Local Government Body
- Responsible for the transport
system in London including:
• Underground
• Over ground
• Rail
• Trams
• Buses
• Taxis
• Cycling
• River services

29. USE CASE – TRANSPORT FOR LONDON
30 Million journeys/day
19 Million e-card ticketing
system taps/day
14,000 sensors
780 Million events/day
Source: Strata + Hadoop World Conference March 2017

30. BUSINESS CHALLENGE
Understanding customers’
behaviours and their transport
needs
Planning and providing good
transportation services and
value for money for passengers
Providing information to
customer

31. - Identifying potentially valuable
data sources
- Generating big ideas for big data
- Ensuring infrastructure adequacy
- Expanding analytical capabilities
BIG DATA STRATEGY
IT Related
Essentials of Big data Strategy
Business Related

32. BIG DATA STRATEGY
Identifying valuable data sources:
Oyster smartcard tickets Contactless payment cards
The Oyster and contactless ticketing systems generate
19 million taps each day that can be used for analysis
Oyster and contactless payment cards

33. BIG DATA STRATEGY
Contactless payment cardsIdentifying valuable data sources:

34. BIG DATA STRATEGY
Identifying valuable data sources:
Traffic Counters
Traffic Signals
Smart Parking
Loop Sensors & Red
Light Cameras
Moving vehicles/
Bus Stop Sensors
Social Media
Underground Stations
Cycle hire Bikes Emirates Airlines
Sensors and social media

35. - Identifying potentially valuable
data sources
- Generating big ideas for big data
- Ensuring infrastructure adequacy
- Expanding analytical capabilities
BIG DATA STRATEGY
IT Related
Essentials of Big data Strategy
Business Related

36. Generating big ideas for big data:
BIG DATA STRATEGY

37. Generating big ideas for big data:
BIG DATA STRATEGY
Providing Information to Customers

38. Generating big ideas for big data:
BIG DATA STRATEGY
Real-time Traffic Control Sensors’ data
Source: Strata + Hadoop World Conference March 2017

39. Predicting Congestion
Generating big ideas for big data:
BIG DATA STRATEGY
Source: Strata + Hadoop World Conference March 2017

40. Other big ideas for big data:
BIG DATA STRATEGY
Managing Disrupted Schedules
Offering Personalized News & Travel Updates
Displaying Common Travel Mapping Inferring where someone exited a bus

41. Basic Concepts & Definitions
A. Digital Business
B. Business Intelligence
C. Real-time Operational Intelligence
D. Big Data
E. Advanced Analytics
F. Big Data Analytics
Formulating your Big Data Strategy
Building your Digital Business and Analytic Platforms
Case Study
Big Data Platform Integration Options & Cost Benefit Trade-off
AGENDA

42. BIG DATA PLATFORM INTEGRATION OPTIONS AND COST BENEFIT
TRADEOFF
Deployment Mode Public Cloud Private Cloud Hybrid Cloud Community Cloud In Premises
Cost
Availability
24/7 technical expertise
On demand scalability
Easy and inexpensive
setup
Data security
Privacy

43. THANK YOU
Alaa Mahjoub
Data Management Senior Expert
Department of Transport , Abu Dhabi, UAE
linkedin.com/in/alaa-mahjoub
6 – 7 March 2019 | Dubai