Jason Perkins, Head of Data & Analytics Architecture, BT, talks about the BT data strategy on the In:Confidence 2019 main stage (April 4th at Printworks, London).

1. British Telecommunications plc 2017
Foundations for Insight in a Data Rich World
In Confidence 2019
16h March 2019 – v2F
Jason B Perkins
1 In Confidence

2. British Telecommunications plc 2017
A connected and converging World
Device Data
Internet of Things
Engineering Data (CSP)
Web / App analytics
Customer Premise
Equipment
STB & TV Data
Network Data
Multi channel
Digital Store
JBP
Calls
Social media
Web Chat
External datasets
Billing,
Interactions
Orders
‘The world is one Big Data problem.’
Andrew McAfee, MIT Digital
The amount of data being generated every day is increasing exponentially. Evolving technology can generate insight & value from that data

3. © British Telecommunications plc 2017 Technology – Architecture & Strategy3 3
The strategy is being tested (and adjusted) through introducing a series of lighthouse cases.
Our Pan IT data strategy is more than a technology play; we are fundamentally shifting to a human centred, insight
driven & service oriented mind-set. It is made up of five key pillars:
How does DARA fit into the Data strategy pillars for a Business IT transformation
A Pan-BT data strategy
Data vision &
principles
Data use case
Catalogue
Data & Analytics
Reference
Architecture (#Dara)
Data Assets & Tech Roadmap
Data Culture
Future data skills
plans
Governance,
Operating Model &
Funding approach

4. © British Telecommunications plc 2017 Technology – Architecture & Strategy4
Pan-BT data strategy - Data Vision and Principles
“An organisation where data and insight power and inform BT strategy, delivering
differentiated customer experience, operational transformation and converged services.”
Centre of
excellence
organisational
model
Exploratory and
production
environments
High levels of
re-use and
automation
Data
democratisation
and agility
Data-sharing
culture and best
practice
Effective and
appropriate
governance
• Common data assets
and services
• Shared analytical
capabilities
• Metadata and
marketplaces
• Intelligent
automation
• Data democratisation –
everyone empowered
to use data and insight
• Use case catalogue
tailored to business
need.
• Data Security & Privacy
by design foundation.
• Migration to
distributed from
centralised /
decentralised
models
• Clear accountability
between hub and
spokes
• Ability to
experiment easily
with low cost of
entry & elastic
capacity
• Ability to simplify
productionisation
• A Culture of sharing
data assets.
• Self-service / data
democratisation
• Effective use of
scarce skills
• Attitude to
experimentation and
failure
• Clear governance
• Clear funding model
• Rationalisation
programmes
• Data quality
programmes

5. © British Telecommunications plc 2017
A Data & Analytics Reference Architecture
5
“The most important thing is to never stop questioning.”
Albert Einstein

6. © British Telecommunications plc 2017 Technology – Architecture & Strategy6
The DARA is an architecture blueprint, a representation of BT as a data platform
BT Data & Analytics Reference Architecture
• Data centric approach
with common
information assets based
on a Business
Information Model
(BIM).
• Speed up Time to insight.
• Democratise access to
information through Self-
service. Data Security &
Privacy by design
foundation
• A Service oriented
architecture on an event
based architecture
• Freedom to experiment
• A OMNI digital brain to
drive richer experiences,
decision automation and
business efficiency.

7. © British Telecommunications plc 2017 Technology – Architecture & Strategy7
Organise – Data Privacy & Security Services
Data & Analytics Strategy
 Data Privacy & Data Security services provides capabilities to enable data democracy, insight identification
and usage of data assets whilst protecting our data assets.
 Enterprise single sign on for authorisation & authentication.
 Enabled via a data policy service for data access.
 Data Policy Engine – service to to apply rules and policies to anonymise data whilst retaining its analytical
value. Linkage over time while offering options for reducing risk of data identification.
 Audit Services: provision of audit trail
 Principles
 ‘Defence in depth’ applied with multiple layers relating to privacy and security of information.
 Proactive not Reactive: Preventative not remedial
 Privacy as the Default Setting
 Privacy Embedded into Design
 End to End security: Full lifecycle protection
 Visibility & Transparency: Keep it Open
 Respect for user privacy: Keep it individual and user-centric
 Built to International Information Privacy & Security Standards.
Person Identifiable Data
Person Identifiable Derivations
Pseudonymisation & Encryption
Consent & Preferences
Aggregation & Summarisation
Virtual Data mart
Data Policy Service
Audit,DataWatermarking&Logging
Data Access Service
Authorisation & Authentication
Role Based Access Control
JBP

8. British Telecommunications plc 2017
Summary
8
‘Data & Analytics are the No. 1 priority in CIO survey 12 out of last 13 years.
Capability expected to most help business differentiate from their competitors.’
Gartner DA Summit

9. © British Telecommunications plc 2017 Technology – Architecture & Strategy9
Digital businesses treat data more centrally – with business models, propositions and
experiences completely underpinned by data
Data Strategy is more than a technology play; fundamental shift required to a human
centred, insight driven & service oriented mind-set.
Data Privacy and Data Security services are important foundations in order to democratise
access to information
Organise – Foundations for Insight in a Data Rich World
Data & Analytics Strategy

10. © British Telecommunications plc 2017 Technology – Architecture & Strategy10
1. Data Strategy and the Enterprise Data Executive, by Peter Aiken and Todd Harbour.
2. Competing on Analytics, the new science of winning, by Thomas H. Davenport and Jeanne Harris
3. Sentient Enterprise – Evolution of Business Decision Making, by Oliver Ratzesberger & Mohanbir Sawhney
4. DW 2.0: The Architecture for the Next Generation of Data Warehousing, by W. H. Inmon and Derek Strauss.
5. Modernize the Data Warehouse: Designing An Architecture for Data and Analytics, Mark Madsen
6. The Active Data Warehouse: Where Agile Retailers Win by Capitalizing on Time
7. Governing the Data Lake: The critical importance of an Information catalog, Mike Ferguson
8. Logical Data Lake and Logical Data Warehouse, Rick F. van der Lans
9. Chief Data Officer Playbook, by Caroline Carruthers and Peter Jackson
10. Gartner End-to-End Data and Analytics Reference Architecture
11. Gartner Data Architecture: A How-to and Why-to Guide
12. 451 Research - Selecting a best execution venue for data in the cloud
13. Gartner Modern Data Management requires a Balance between Collecting Data and Connecting to Data
14. Gartner Data Catalogs Are the New Black in Data Management and Analytics
15. Gartner How to Enable Self-Service Analytics and Business Intelligence
16. Forrester The Dawn Of Digital Decisioning, By John R. Rymer & Mike Gualtieri
17. Pan BT IT Data Strategy roadmap briefing, By Rob Holtom & Jason Perkins, August 2018
18. BT GROUP Plc – Design Council Discussion Paper : Data Architecture, Phil Radley & Ian Walton, Jan 2015.
19. Cognitive Architecture : Models for Operation and Implementation, Simon Thompson & Rob Claxton, April 2018.
Want to know more?
References

11. Digital Transformation driven by Data & Analytics