Simple High Level Overview of Considerations for Moving to a Digital Model

1. Value Driven Management
SIMPLE
DIGITAL ADOPTION FRAMEWORK
DAF
© IRFE 2017

2. Generic Digital Value Propositions
● Global Presence
● Transformative Business Model
● Previously Impossible Capabilities
● Enhanced & Customised Customer Experience
● Improved Insight
● Dynamic Enterprise Control
● Scalability (Volume & Product Range)
● Big Performance Gains (Effect & Efficiency)
● Better Leverage of Knowledge
© IRFE 2017

3. Technologies Which Drive
Opportunities
BigData
W
eb
M
obileAppsM
achineLearning
IoT
BPM
RulesEngines
G lo b a l P re s e n c e X X X
T ra n s f o rm B u s in e s s M o d e l X X X X
N e w C a p a b ilit ie s X X X X X X X
C u s t o m e r E x p e rie n c e X X X X X
In s ig h t X X
E n te rp r is e C o n t ro l X X
S c a la b ilit y X X X X X X
P e rf o r m a n c e G a in s X X X X
L e v e rK n o w le d g e X X
© IRFE 2017

4. PRINCIPLES - “SUPER LEAN”
● Understand Customer Needs (not desires)
● Understand Market Futures
● New Business Rules New Business Model
● Outside In Thinking
● Enterprise Acts As One Team (Culture, Org, End2End Processes)
● Transition Organisation to Product Delivery
● OPEX not CAPEX – Continuous Innovation
● Fail to Learn (prototype, innovate, Agile, DevOps)
● Information is IPR
© IRFE 2017

5. High Level Adoption Activity
© IRFE 2017
Capture Customer Needs
Codify Market Insight
&
Review Enterprise Strategy
Define Enterprise KPIs
Benchmark Performance
Identify Current “Big Rules”
& New Market “Big Rules”
Define New Business
Model &
High Value Business
Opportunities
EA & TOM Development
Cultural Audit
&
Define Strategic Priorities
Launch Culture Change
Define Programme KPIs
& Monitoring
Initiate Programme Controls
Systemise Ongoing
Culture Change
Plan Programme & Skills
Shift to Product & OPEX
Develop Digital ABC
Introduce Application,
Service & Product Portfolio
Management
Adopt Agile PM &
Development
Initiate Move to CI, CM &
DevOps
Define/Revise SIAM & ITIL
Models & Implement
Define SOC and SIEM
Model & Implement
Revise/Adopt Vendor/
Service/Information Provider
Relationship Model &
Performance Monitoring
Acquire Standard Develop-
ment & Automation Tools
Identify External Data
Sources, SI/SP Partners
Establish Tools Release
Management
Engage Data, SI/SP
Partners (as needed)
Introduce Data Portfolio
Management, MDM and
Data/Information Lifecycle
Management Policy
Establish Information
Owners and Information
Quality Management
Approach
Implement Distributed
Information Management,
Integration & Encryption
Capabilities
Vision &
Value
Strategic
Planning
& Control
Delivery
Capability
Tooling,
Partnering
& Services
Information
Governance
N.B. Adoption is vertical project/product by project/product & incremental. Principle of Simplify, Integrate, then Automate applies.

6. New Roles, e.g.
● Chief Data Officer
● Product Managers
● Culture Change Manager
● PMO & Portfolio Managers (Data, Application,
Service & Product)
● DevOps Engineers
● SOC & SIAM Roles
● Data/Information Owners
● Data Intelligence Analysts/Data Scientists
© IRFE 2017

7. New Skills e.g.
● Culture Change
● Product Management
● Agile Management
● Developer Skills (Data Science, UX/UI,
OpenSource/.Net Development, CI, CM)
● Ops Automation
● XaaS skills
● Distributed IdMgt, Integration & Encryption
© IRFE 2017

8. Some TIPs
● Culture Eats Strategy for Business. Lead for cultural change has to come from the
top. Companies whose C-Suite act as a team are the most successful.
● Customer (& other key external stakeholder) perspective needs to be empathised for
understanding or real needs & issues
● Amazon, Uber, Air BnB, Compare the Market etc. are bad examples for most
organisations. They are “market platforms” connecting customers and suppliers, not
providers of products & servicesNeed to establish commercial partnering for many
proprietary data sources
● Social Media data is “dirty” - needs intelligence analyst approach to validate and
contextualise
● Avoid Horizontal Slab approach to Activities
● Go for Vertical Slices (Product / End-to-End capability)
● Pursue Incrementally – Perfection is the Enemy of Progress
● Build compliance, especially for privacy, and security into products from Day 1
● Legacy IoT data sources usually don't have a security model built in, so resilience in
this area needs to be addressed.
© IRFE 2017