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OPTIMISING
ON-DEMAND SERVICES
Nancy Tsagkari
Business Intelligence Analyst
We transform the way both people and items
move about in their cities, on demand
YOUR RIDE AT YOUR FINGERTIPS AT A FEW TAPS
Connect to Taxibeat
By continuing you agree to our Terms of service
Antonio Miro Quesada 622 0
PICK ME UP HERE
TB 9:41 AM 100%
4
4
4
4
I
2011launched
16%
monthly growth rate in last 6 months
AT A GLANCE
80employees
2016
SINCE 2011
1.000.000+
Downloads
900.000Registered users
SINCE 2011
500.000+Unique active passengers
OUR BIG DATA
OUR BIG DATA
x
4
37.9877805,23.7191496
OUR INFRASTRUCTURE
OUR INFRASTRUCTURE
0 Search
[ Spreadsheets
Ad-hoc queries
Dashboard
2016
Transforming to a data-driven company
What analytics and data can do is give you insight so you can run a
better business and offer a superior product.
People with data have an advantage over those who run on intuition
or “what feels right.”
OUR BIG DATA : DECISION SCALE
Informing the company
Empowering teams
Investing in data infrastructure
BUSINESS
PRODUCT
CUSTOMER
SUPPORT
MARKETING
Data
OPERATIONS FINANCE
DATA SCIENCE
]
“There are 33 million different versions of Netflix.”
Joris Evers, Director of Global Communications
Our
mission is
Our
goal is
to move anything from
A to B at the tap of a
button.
to make life in the city better by
offering comfortable, quality and
safe transportation for all.
Our
mission is
Our
goal is
to move anything from A
to B at the tap of a button.
to make life in the city better by
offering comfortable, quality and
safe transportation for all.
Our
mission is
Our
goal is
to move anything from A
to B at the tap of a button.
to make life in the city better by
offering comfortable, quality and
safe transportation for all.
Our
mission is
Our
goal is
to move anything from A to B
at the tap of a button.
to make life in the city better by
offering comfortable, quality and
safe transportation for all.
GOALS
• Decrease unsatisfied demand
• Lower time to serve
• Lower request cycle
• Reduce extra driving
• Increase drivers’ rides
CASE STUDY: DYNAMIC PRICING - THE BUSINESS ACTION
The problem
Increased unsatisfied demand
The approach
• Identify peak hours
• Identify hot zones
• Predict demand and supply level
• Define the best price level for each ride
fare range (demand elasticity)
CASE STUDY: DYNAMIC PRICING - THE BUSINESS ACTION
• +15% available drivers
• +4% drivers acceptance rate
• -11% unsatisfied demand
Results
Validate
• the long term effect on customer
retention
• the short term effect on customer
demand
THANK YOU

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