Host: Andy McGregor, deputy chief innovation officer, Jisc. Keynote speaker: Lauren Seger Weinstein, chief data officer at Transport for London. In our final plenary, we'll hear from Lauren Sager Weinstein. We'll also be announcing the winners of our edtech start-up competition, as we bring Digifest to a close.

1. Welcome to Digifest
Closing plenary and keynote

2. Andy McGregor
Deputy chief innovation officer, Jisc

3. EdTech start-ups competition winners
Winners of the public vote:
 Wildfire
Further teams entering the project:
 Hubbub
 Lumici Slate
 Ublend
 VineUp

4. Lauren Sager Weinstein
Chief data officer atTransport for London

8. 4
What our customers want
To understand what we stand for
Value for Money
Progress &
Innovation
Trust
Excellent
reliability and
customer
experience
This guides everything we do

11. 7
A sample of some of the data we collect and transform on a typical
day
12 million ANPR
registration plates
from the 1600
cameras across our
road network
19 million
smartcard ticketing
transactions a day
from 12 million
active cards
15,000 SCOOT
detectors creating
5.2bn records
4.5 million ibus geo-
located events
650,000
tfl.gov.uk
website
visits
250,000 daily train location and
event datafrom NETMIS
500,000 rows
of train
diagnostic data
on the Central
Line alone

14. 10
Integrated travel information
Over 20 million users
a month (83 per cent
of Londoners) use
www.tfl.gov.uk
Millions of tailored
emails
600 travel apps
powered by our open
data and used by 42
per cent of Londoners
Over 4.5 million social
media followers
Events and
works/closure
information
Personalised customer
service

15. 11
Advising customers on travel options

16. 12
Understanding Customer patterns
36%
30%
18%
16%
B aker S treet - C lus ter S izes
1
2
3
4
Cluster Description Median Start
Time
Journeys /
travelled day
# of Regular
Days
# of Irregular
Days
1 Regular Frequent User 08:11 2.5 11.6 4.6
2
Occasional User
(Resident)
12:53 1.9 2.5 3.6
3
Irregular Frequent
User
11:50 2.6 4.1 12.1
4
Occasional User
(Visitor)
11:01 3.4 1.9 2.0
Analysis helps us plan
ticket facilities, signage
and commercial
offering.

18. 14
Major disruption recorded
Or
Planned works
Operational Research
team undertake
analysis and pattern
matching to identify
customers
We automatically
refund our customers –
no need to apply
Automatically refunding customers
Our Action
Customer
Benefit
TfL
Benefit
Fewer calls to Contact
Centre

21. 17
Intelligent Resource Deployment
• Using data and analysis to
– Understand groups at risk
– Understand locations and
hotspots
– Understand the causes
• Applying analysis and
techniques to deploy a range of
resources
• Applies to recovery vehicles,
staff, and enforcement teams

22. 18
ANPR
cameras
SCOOT
Automatic
Traffic
Counters
Innovative
algorithms &
computing
Real-time detailed
view of traffic
behaviour on our
network
Data fusion
Outputs
Existing on-street sensors
Real Time Operations

25. 21
ODX in practice
Major bridge closure Capacity Planning Business Intelligence
Interchange AnalysisTravelcard apportionment

28. 24
We are industry leaders in a number of areas
Ticketing
Integrated
travel
information
Innovative bus
technology
LU mobile
working
WiFi on the
Tube

38. 34

44. Thanks to our sponsors and partners and all our exhibitors too