Telecommunications companies have an abundance of subscriber activity data at their fingertips, which can be highly valuable to third-party organizations when it comes to location-based decision making. But how can telcos properly enrich this data with the context needed in order to successfully turn that data into a revenue stream for their business? View this short on-demand webcast, where our Customer Information Director, Dominic Tomey, discusses the following: • Why location intelligence, particularly mobile trace data, can be so valuable for clients when making decisions based on location – particularly for retail, banking and other financial institutions • How Precisely worked with a large provider of wireless telecommunications to successfully monetize their consumer data • How to correctly apply contextual enrichment in order to derive the most value from subscriber activity data – including the use of demographics and point of interest data • How to drive results through self-service environments in order to visualize the outputs for further analysis, as well as for Machine Learning and AI applications

1. Operationalising a
vision for monetization
Dominic Tomey
Senior Account Director

2. The global leader in data integrity
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deliver accuracy and consistency to power confident
business decisions.
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of the Fortune 100
90
Customers in more than
100
2,000
employees
customers
12,000
countries

3. Connect today’s
infrastructure with
tomorrow’s technology
to unlock the potential of
all your enterprise data
Integrate
Understand your data and
ensure it is accurate,
consistent and complete
for confident
business decisions
Verify
Analyze location data for
enhanced and
actionable business
insights that drive
superior outcomes
Locate
Power enhanced decision
making with expertly
curated, up-to-date
business, location, and
consumer data
Enrich
The four elements of data integrity
D A T A I N T E G R I T Y
3

4. Monetization Opportunity….
4
Our client Retailers, Banks & Insurers tell us…
“Telco’s have an abundance of Subscriber Activity Data which is
very valuable……
But …..
Subscriber Activity Data is only useful if you can bring more context
to it……”

5. Recognised by a client…
5
The company was already collecting point-in-time location data for each
mobile-phone user on its network…
• Aggregate
• Segment
• Apply contextual enrichment
• Create detailed sector specific datasets for their commercial customers

6. Challenge….
6
• Access and process data within Cloud Native and Big Data
environments
• Geo-enrich subscriber records
• Create overlay grid that can be utilised to append other
useful data sources
• Provide other data sources that would be relevant to add
context
• Drive results through Self-Service environment to visualise the
outputs for further analysis/AI/Machine Learning outputs

7. 7
Crime index
Administrative
Boundaries
Day & Nighttime
population
Street
network
Building
foot
prints
Traffic
network
School
districts
Building
construction
Points of
Interest
Demographics
Mobile Trace
Data
Density HexagonsHeatmap Clusters
Geo-enrichment database
cross-reference related datasets
Subscriber Activity Database
Theory
Provision Specific datasets for
• Retailers
• Banking
• Insurance
• Marketing, etc..

8. Precisely connects data together into an easy
to navigate space…
8

9. 9
Use of modern processing technologies
Keywords
• IaaS/PaaS
• SaaS
• Cloud Native
• Elastic
• Ephemeral
Technologies
• Databricks
• AWS
• Google Cloud
• Kubernetes
• Docker
• Azure Kubernetes Service
• Docker
• Container
• Speed Layer
• Microservices
Subscriber activity – We processed 1-4bn records every 20 minutes

10. Precisely provides contextual data
10

11. Precisely provides self service visualisation
11

12. 12
Crime index
Administrative
Boundaries
Day & Night-time
population
Street
network
Building
foot
prints
Traffic
network
School
districts
Building
construction
Points of
Interest
Demographics
Mobile Trace
Data
Density HexagonsHeatmap Clusters
Geo-enrichment Database
cross-reference related datasets
Subscriber Activity Database
Realise a subscriber monetization vision
Provision specific datasets for
• Retailers
• Banking
• Insurance
• Marketing, etc..

13. Summary
Our client is now able to tap into new opportunities to monetize its highly
valuable data.
They now have a fast process to capture, enrich, and design the final
outputs for their individual clients needs.
13

14. These examples show the level of pedestrian activity at a micro
grid/heat/cluster map level. The grid shows the ‘busyness’ of the
locations, by day and time as well as user type (residential, worker,
visitor) and profile type (purchasing power, age band)
Monda
y
Tuesday
Wednesd
ay
Thursda
y
Sunda
y
Provide digital activity: Footfall Analysis

15. Mobile activity selected based on geofence around
a store destination or centre i.e. Retail Park
Visitor ‘common evening’ locations associated with
store/destination/centre
Visitor activity pre-2hrs of visiting geofence
Visitor activity post-2hrs of visiting geofence
Digital Visitors
DEMOGRAPHICS OF VISITORSHOUR BY HOUR ACTIVITY
DAY BY DAY ACTIVITY
All Days
Monday
Thursday
Sunday
POINTS OF INTEREST
15

16. Connect today’s
infrastructure with
tomorrow’s technology
to unlock the potential of
all your enterprise data
Integrate
Understand your data and
ensure it is accurate,
consistent and complete
for confident
business decisions
Verify
Analyze location data for
enhanced and
actionable business
insights that drive
superior outcomes
Locate
Power enhanced decision
making with expertly
curated, up-to-date
business, location, and
consumer data
Enrich
The four elements of data integrity
D A T A I N T E G R I T Y F O R N E W O P P O R T U N I T I E S
16

17. Some questions to think about…
• What data in your business can be monetized?
• Are you able to access it in real time?
• Are you processing your source data in the fastest and most cost effective way?
• Are you maximising the time to value in analysis of data you wish to monetize?
• Are you able to incorporate AI/Machine Learning driven insights into your monetizable data?
• Do you have the agility to create customised packages for your clients?
• Is there other data sources that you think would provide more value to the data that you wish to monetize?
• Would you like some help from an organisation that has experience in monetising telecommunications data?
17

18. Thank you!
For more information contact dominic.tomey@precisely.com