1) The document discusses how data and analytics can be used to change games in various industries like transportation, health and wellness, motorsports, energy, consumer, and rail. 2) It provides examples of how McLaren uses a data cycle of simulation, pre-race analysis, live monitoring and strategy, and post-race analysis with data management and visualization to improve performance. 3) The document outlines focus areas like human performance/condition monitoring, disease progression monitoring, and remaining useful life prediction using sensors, data capture, analytics, and other techniques to extract insights from data in areas like gait, biotelemetry, and health conditions.

1. CHANGE THE GAME
with
DATA & ANALYTICS
Dr CAO Hong
Head of Analytics, APAC

3. 3
McLAREN
DATA CYCLE
SIMULATION
AND
SIMULATOR
DESIGN PRE-RACE
ANALYSIS
LIVE
MONITORING
AND
STRATEGY
POST-RACE
ANALYSIS
DATA
MANAGEMENT
AND
VISUALISATION

4. DATA UNDERPINS
EVERYTHING WE DO

5. 5
HIGH
PERFORMANCE
DESIGN
WITHOUT A
HUMAN
A MACHINE
IS NOTHING

6. Sensors
Analytics
Electric Propulsion
Data Driven Design
Real Time Control
Decision Support
CORE
TECHNOLOGY
COMPETENCY
Informed
Intervention
Planned
Intervention
Auto-
Regulated
Response
Sensors, Data
Capture and
Transmission
Embedded Control
Visualisation
Decision Support
Next
Time
Right
Time
Real
Time
Sensors
Data Logging
and Telemetry
Volume, Speed,
Real-Time
Electric Propulsion
Data Driven Design
Decision Support
Embedded Analysis
Simulation
Analytics
Historic and
Real-Time
Data
6

7. OUR FOCUS:
INDUSTRIES
7
TRANSPORT
HEALTH & WELLNESS
MOTORSPORT
ENERGY
CONSUMER
RAIL

8. Our Analytics Role and
Approach
8
FORMULATION GOVERNANCE PREPROCESSING DISTILLING REPORTINGMODELLING
Problem
Statement and
Data
MEASURE
MONITOR
INTEPRET
MANAGE
To work on: - Data crunching and
insight discovery
- Formulation and
modelling
- Algorithm design
and validation

9. Human Performance / Condition Monitoring
9

10. 10

11. CONTINUOUS MONITORING OF
HEALTH AND PREDICTING OF
DETERIORATION
11
Automating
the Heart
Condition
Monitoring

12. LIFEINSIGHT:
UNDERLYING MODELS
12
Sleep
Quality
Gait/
Activities
Perceived
Stress
Cognitive
Performance
Human
Condition /
Performance
Monitoring
Leveraging Economic Sensors

13. Health Case I
GAIT
OUTLIER
ANALYSIS
13
HOW MUCH
INSIGHT CAN WE
GET FROM
FROM OUR GAIT?

14. Health Case 2:
14
HOW CAN
BIOTELEMETRY
ASSIST IN
PATIENT
TREATMENT?
> AMYOTROPHIC LATERAL
SCLEROSIS (ALS)
ALS Disease
Progression Monitoring Study
Background:
• Hard to diagnose
• Short remaining
lifetime with some
exceptional cases
• Severely depleted life
quality
ALS Functional
Scale (ALSFR):
• Speech, Salivation,
Swallowing, Handwriting,
Cutting food, Dressing and
Hygienne, Turning in bed,
Walking, Climbing Stairs,
Dyspnea, Orthopnea,
Respiratory Insufficiency

15. Health
DISEASE
PROGRESSION
MONITORING
15
HOW CAN
BIOTELEMETRY
ASSIST IN
PATIENT
TREATMENT?
> AMYOTROPHIC LATERAL
SCLEROSIS (ALS)
ALS Disease
Progression
Heart Rate
Activity
Speech

16. 16
REMAINING USEFUL LIFE
(RUL)
PREDICTION

17. 17
Data
Scientist
Software
Engineer

18. CAN IT BE
DONE?
DEFINITELY
1
8