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Putting the ‘Smart’ in Smart Ticketing: Developing Insight from Barcode Scan Data

Developing Insight from Barcode Scan Data

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Page 1: Developing Insight from Barcode Scan Data

Putting the ‘Smart’ in Smart Ticketing:

Developing Insight from Barcode Scan Data

Page 2: Developing Insight from Barcode Scan Data

Example Slide Headline

PastEstablishing Smart Ticketing

PresentDeveloping Barcode Insight

FutureNext Steps on the ‘Data Driven’ Journey

Page 3: Developing Insight from Barcode Scan Data

Establishing Smart Ticketing

1.

Page 4: Developing Insight from Barcode Scan Data

History of Smart Ticketing

National ‘Barcode

Acceptance’

Programme

[2016]

Programme utilises

Tableau for status

reporting

[2017]

Majority of stations and

routes accept Barcode

[2020]

First TOC launched

seasons on Smartcard

[2014]

Industry’s ‘Central Back

Office’ live

[2016]

Majority of seasons now

sold on ‘smart tickets’

[2020]

New TOCs live and trials

undertaken

[2017 - 19]

Page 5: Developing Insight from Barcode Scan Data

Benefits of Smart Tickets

Enhanced

personalisation

Saves time and

stress

Provides richer

data

Improved fraud

detection

Page 6: Developing Insight from Barcode Scan Data

Current ‘Take Up’ of Smart Tickets

Smart Week

Increase in

awareness

156 Events

through the week

Additional 1.5m

journeys made

Positive public

response for campaignSmart

Paper

Page 7: Developing Insight from Barcode Scan Data

2.

Developing Barcode Insight

Page 8: Developing Insight from Barcode Scan Data

Example Slide Headline

Data shared for

operational

purposes

• Data is held in each

TOC electronic ticket

validation database

(eTVD)

Operators

specific

analysis

• Varying abilities

and insight for

each operator

Complementary

data sets held by

RDG

• Ability to link to

Industry-wide

Sales,

Performance and

Satisfaction data

Localised analysis undertaken

Pre

vio

usly

Page 9: Developing Insight from Barcode Scan Data

Example Slide Headline

S3

Redshift

EC2

Kinesis

Firehose

TableauNo

w L

ive

CLIPPER

Developing shared insight

Page 10: Developing Insight from Barcode Scan Data

Example Slide Headline

Local Barcode Server Capacity

Identify stations which might require

infrastructure upgrades to improve

customer experience

Page 11: Developing Insight from Barcode Scan Data

Example Slide Headline …Stations…

Mon 19-Jan

Page 12: Developing Insight from Barcode Scan Data

Example Slide Headline

Suspicious Activity

Identify tickets that have suspicious

usage patterns to tackle potential fraud

Page 13: Developing Insight from Barcode Scan Data

Example Slide Headline

Page 14: Developing Insight from Barcode Scan Data

Example Slide Headline

Page 15: Developing Insight from Barcode Scan Data

Example Slide Headline

Putting the pieces together

Linking tickets sold with tickets scanned

to inform revenue protection

Page 16: Developing Insight from Barcode Scan Data

3.

Next Steps on our ‘Data Driven’ Journey

Page 17: Developing Insight from Barcode Scan Data

Example Slide Headline

There needs to be a much

stronger focus on passengers.

This has been common ground

from everyone we have spoken

with. Passengers must be at

the heart of the future of the

railway. (Keith Williams)

Where do we go from

here?

Operational Improvements

Industry Disruption

Inform Fares Reform

Enhanced Personalisation

Page 18: Developing Insight from Barcode Scan Data

Example Slide Headline

David Sagar

@davidsagar

[email protected]

linkedin.com/in/david-sagar/

[email protected]

Page 19: Developing Insight from Barcode Scan Data

Thank you.