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@UKIIBA #UKIIBA
IIBA UK South West Event
April 2018
Welcome
Agenda
1. Benefits Dependency Network
2. POINT - Stretching your brain
3. Defining an MVP
© Ordnance Survey 2017 | Confidential
Benefits Dependency Network
I I BA A N A LY S I S I N AC T I O N ( O R D N A N C E S U RV E Y )
Kasia Bochenek
© Ordnance Survey 2017 | Confidential
Benefits
Management
• Who – Owners
• What – tangible / intangible
• Roadmap and realisation
• Change management
• Stakeholder management
Benefits Dependency
Network
• Alignment / prioritisation / stakeholder buy in
• Scope definition + stakeholder management
• Missing requirements
• Visibility of benefits dependency
© Ordnance Survey 2017 | Confidential
Benefits Dependency Network for Project 1
IT Enablers Enabling Changes Business Changes Benefits Business Objectives
Phase
Objective 1
Objective 2
Objective 3
Objective 4
BC 1
EC 1
EC 2
EC 3
EC 4
Benefit 1
Benefit 2
Benefit 3
Benefit 4
Benefit 5
Benefit 6
BC 2
BC 3
BC 4
EC 5
EC 6
EC 7
IT 1
IT 2
IT 3
IT 4
Benefits Dependency Network - example
IT Enablers Enabling Changes Business Changes Benefits
Business
Objectives
O1
Simplify and
automate all
business
transactions
O2
Integrate key
processes and
systems
O3
Improve
financial control
of business
assets and
resources
C1
Create dispatch data by physical scanning
E1
Restructure stock coding
E2
Identify suitable points to record data
E3
Reduce degree of discretion in local
planning decisions
E4
Review resource requirements to
support core business processes
B1
Reduce number of dispatch errors
B2
Eliminate invoice errors
B3
Improve business production
planning
B4
Reduce cost of stock holding
B5
Stop unnecessary use of agency
staff
B6
Reduce cost of customer service
failures
C2
Create new raw material stock replenishment
algorithms
C3
Implement new production scheduling process
C4
Optimize business planning process (timing,
consistency, single plan)
E5
Review and enforce key business
controls
E6
Develop process maps to assist with
highly automated environment
E7
Deliver training on total process (not
just IT)
I1
Scanning & stock
control system
I2
Planning &
process control
system
I3
ERP HR,
production &
stock modules
I4
KPI/analytics and
MIS
B9
Improve cash flow
B8
Improve accuracy and speed of
growers returns
B7
Access to accurate, timely KPIs and
management information
B11
Gain better knowledge of product
& customer profitability
B10
Reduce bad debts
C5
Implement improved, real time inventory
management procedures (raw materials and
packaging)
C6
Implement performance management process
(management by KPIs)
C7
Implement new process for paying growers
C8
Implement daily P&L reporting
E8
Develop new KPIs based upon
balanced scorecard
E9
Identify growers' needs
E10
optimize growers returns process
(remove inconsistencies)
15
ERP finance
module
Deep Learning – Benefits Dependency Network
Technology Enabling Changes (ST) Business Changes (LT) Benefits Objectives Business Drivers / Strategy
Phase
Apply Model to
Non-UK Territories
OSGB Gold
Requirements
Potential
classification of OS
Production
Duplication ofother
benefits
Ability to run a
model with 3rd
party
data (e.g. ONS)
ProduceSample
Raster Products
Enable production
ofscaletown PoC
map
Make Geo Service
internally available
(filter crappy data)
Run ‘Discovery’ Use
Cases
(model output not
explicitly looking
for)
Removes the need
for multiple
extensive narrow
models
Change Detection
for OS Imagery
Epochs
Secures / Protects
significant IP value
in OS Data and its
application in
Machine Learning
Applying Deep
Learning, inline with
major tech
organisations –
Microsoft, UBER,
AirBnB etc
Meet New PSMA
Requirements
Identify new
product / content
offerings
Enhancements to
Existing products
Support OSV
propositions by
capturing
attribution through
Imagery and
Sensors
ST = Short Term
LT = Long Term
InternalEducation /
Promote
Opportunity
Operational
Effieciencies
Data Science v1.1
Data Science v1.2
Data Science v1.4
Identify Business
Advocates
Communications
Plan
Discover &Access
Data
(OS and Sensed)
Get Representative
Training Data
Run Model Iteration
and Analysis
Model Output meet
requirements
Publish PoC of
Model
Organisational
Awareness
Determine
acceptablelevel of
accuracy
Secure
Resources
ProvideTraining to
Users
Business UseCase
Trials
Local, Regional,
National
Maintain model to
remain current
(continuous
training)
Data Science v1.3
Data Science v1.5
Identify potential
Users
Get third party or
Non-UK data
Multi Modal
Modelling
Identify new
features and
improved accuracy
Identify Real world
object change.
E.g. Land Use
What needs to
occur to achieve
this?
Model socio /
economic factors
Data Science v1.6
Data Science v1.7
Best for Britain
Innovating new tech
Fit for Future
New methods and ideas
Automation techniques
Document landscape with
more granularity
Global Growth
Growth and Revenue
opportunities
Commercially Appealing
capabilities
Capabilities that answer
complex questions
Be a global
geospatial advisory
partner
Grow and diversify
revenues
Maximise value to
GB
Make OS a efficient
Digital Business
Ensure OS is
resilient and
relevant
Identify Business
Use Case/s
BasicParallel
Processing
Elastic Scalability
Geoprocessing
IS Ops Support
Advanced Logging
Model Sharing /
Collaboration
Integration with
other Orgs (Uni)
Motivates exchange
oftalent and ideas
IIBA UK Chapter
South West Branch
Stretching your Brain
IIBA UK Chapter
South West Branch
luses first – what is good about the idea?
pportunities – what could you do in the
future with the idea if it was working?
Ssues – concerns or downsides, phrased as open
ended question: “How could …?”
ew
hinking – create new ideas
IIBA UK Chapter
South West Branch
luses first – what is good about the idea?
pportunities – what could you do in the
future with the idea if it was working?
Ssues – concerns or downsides, phrased as open
ended question: “How could …?”
ew
hinking – create new ideas
IIBA UK Chapter
South West Branch
luses first – what is good about the idea?
pportunities – what could you do in the
future with the idea if it was working?
Ssues – concerns or downsides, phrased as open
ended question: “How could …?”
ew
hinking – create new ideas
IIBA UK Chapter
South West Branch
Example
luses first – what is good about the idea?
pportunities – what could you do in the
future with the idea if it was working?
Ssues – concerns or downsides, phrased as open
ended question: “How could …?”
ew
hinking – create new ideas
IIBA UK Chapter
South West Branch
Exercise
3 Minutes:
Stretch your brain and write down as many solutions
to the (silly) problem you can think of
Select your favourite solution
Present your solution
2 Minutes:
Team to practice POINT and move to the next solution
IIBA UK Chapter
South West Branch
Stretching your Brain
What are all the
things you can do
with 100 left gloves?
Defining an MVP
I I BA A N A LY S I S I N AC T I O N ( O R D N A N C E S U RV E Y )
Sean O'Grady
© Ordnance Survey 2017 | Confidential
WORKFLOW (OUTCOME SEQUENCE/VALUE CHAIN)
Q
U
A
L
I
T
Y
O
F
S
E
R
V
I
C
E
SIMPLE
RICH
View holidays Select product(s) Pay
Receive
documentation
© Ordnance Survey 2017 | Confidential
WORKFLOW (OUTCOME SEQUENCE/VALUE CHAIN)
Q
U
A
L
I
T
Y
O
F
S
E
R
V
I
C
E
SIMPLE
RICH
View holidays Select product(s) Pay
Receive
documentation
Feature 1
Feature 2
Feature 3
Feature 4
Feature 5
Feature 6
Feature 7
Feature 8
Feature 9
Feature 10
Feature 11
Feature 12
Feature 13
Feature 14
Feature 15
Feature 16
© Ordnance Survey 2017 | Confidential
WORKFLOW (OUTCOME SEQUENCE/VALUE CHAIN)
Q
U
A
L
I
T
Y
O
F
S
E
R
V
I
C
E
SIMPLE
RICH
View holidays Select product(s) Pay
Receive
documentation
Feature 1
Feature 2
Feature 3
Feature 4
Feature 5
Feature 6
Feature 7
Feature 8
Feature 9
Feature 10
Feature 11
Feature 12
Feature 13
Feature 14
Feature 15
Feature 16
MVP
MVP
MVP
IIBA UK Chapter
Next Events
24 Apr All About Velocity (virtual)
25 Apr Soft (strong) skills (London)
25 Apr Exploring the BA Domain (North)
10 May Making project meetings work (Midlands)
24 May tbc (Scotland)
UK Centric Network @ukiiba
Discounts on UK Events
Access to UK Webinars
Discounts on UK BA Conferences
UK Based Knowledge Sharing
IIBA UK Member Benefits
IIBA UK Chapter
South West Branch
VOLUNTEER WITH US!
We are always seeking volunteers to help run the branch and
sponsors to host or help fund our events.
If you can support us with any of these actions please speak to a
committee member tonight or contact Kasia Bochenek
(kasia.bochenek@iibauk.org)

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Analysis in action 19 April 2018

  • 1. @UKIIBA #UKIIBA IIBA UK South West Event April 2018 Welcome
  • 2. Agenda 1. Benefits Dependency Network 2. POINT - Stretching your brain 3. Defining an MVP © Ordnance Survey 2017 | Confidential
  • 3. Benefits Dependency Network I I BA A N A LY S I S I N AC T I O N ( O R D N A N C E S U RV E Y ) Kasia Bochenek
  • 4. © Ordnance Survey 2017 | Confidential Benefits Management • Who – Owners • What – tangible / intangible • Roadmap and realisation • Change management • Stakeholder management
  • 5. Benefits Dependency Network • Alignment / prioritisation / stakeholder buy in • Scope definition + stakeholder management • Missing requirements • Visibility of benefits dependency © Ordnance Survey 2017 | Confidential
  • 6. Benefits Dependency Network for Project 1 IT Enablers Enabling Changes Business Changes Benefits Business Objectives Phase Objective 1 Objective 2 Objective 3 Objective 4 BC 1 EC 1 EC 2 EC 3 EC 4 Benefit 1 Benefit 2 Benefit 3 Benefit 4 Benefit 5 Benefit 6 BC 2 BC 3 BC 4 EC 5 EC 6 EC 7 IT 1 IT 2 IT 3 IT 4
  • 7. Benefits Dependency Network - example IT Enablers Enabling Changes Business Changes Benefits Business Objectives O1 Simplify and automate all business transactions O2 Integrate key processes and systems O3 Improve financial control of business assets and resources C1 Create dispatch data by physical scanning E1 Restructure stock coding E2 Identify suitable points to record data E3 Reduce degree of discretion in local planning decisions E4 Review resource requirements to support core business processes B1 Reduce number of dispatch errors B2 Eliminate invoice errors B3 Improve business production planning B4 Reduce cost of stock holding B5 Stop unnecessary use of agency staff B6 Reduce cost of customer service failures C2 Create new raw material stock replenishment algorithms C3 Implement new production scheduling process C4 Optimize business planning process (timing, consistency, single plan) E5 Review and enforce key business controls E6 Develop process maps to assist with highly automated environment E7 Deliver training on total process (not just IT) I1 Scanning & stock control system I2 Planning & process control system I3 ERP HR, production & stock modules I4 KPI/analytics and MIS B9 Improve cash flow B8 Improve accuracy and speed of growers returns B7 Access to accurate, timely KPIs and management information B11 Gain better knowledge of product & customer profitability B10 Reduce bad debts C5 Implement improved, real time inventory management procedures (raw materials and packaging) C6 Implement performance management process (management by KPIs) C7 Implement new process for paying growers C8 Implement daily P&L reporting E8 Develop new KPIs based upon balanced scorecard E9 Identify growers' needs E10 optimize growers returns process (remove inconsistencies) 15 ERP finance module
  • 8. Deep Learning – Benefits Dependency Network Technology Enabling Changes (ST) Business Changes (LT) Benefits Objectives Business Drivers / Strategy Phase Apply Model to Non-UK Territories OSGB Gold Requirements Potential classification of OS Production Duplication ofother benefits Ability to run a model with 3rd party data (e.g. ONS) ProduceSample Raster Products Enable production ofscaletown PoC map Make Geo Service internally available (filter crappy data) Run ‘Discovery’ Use Cases (model output not explicitly looking for) Removes the need for multiple extensive narrow models Change Detection for OS Imagery Epochs Secures / Protects significant IP value in OS Data and its application in Machine Learning Applying Deep Learning, inline with major tech organisations – Microsoft, UBER, AirBnB etc Meet New PSMA Requirements Identify new product / content offerings Enhancements to Existing products Support OSV propositions by capturing attribution through Imagery and Sensors ST = Short Term LT = Long Term InternalEducation / Promote Opportunity Operational Effieciencies Data Science v1.1 Data Science v1.2 Data Science v1.4 Identify Business Advocates Communications Plan Discover &Access Data (OS and Sensed) Get Representative Training Data Run Model Iteration and Analysis Model Output meet requirements Publish PoC of Model Organisational Awareness Determine acceptablelevel of accuracy Secure Resources ProvideTraining to Users Business UseCase Trials Local, Regional, National Maintain model to remain current (continuous training) Data Science v1.3 Data Science v1.5 Identify potential Users Get third party or Non-UK data Multi Modal Modelling Identify new features and improved accuracy Identify Real world object change. E.g. Land Use What needs to occur to achieve this? Model socio / economic factors Data Science v1.6 Data Science v1.7 Best for Britain Innovating new tech Fit for Future New methods and ideas Automation techniques Document landscape with more granularity Global Growth Growth and Revenue opportunities Commercially Appealing capabilities Capabilities that answer complex questions Be a global geospatial advisory partner Grow and diversify revenues Maximise value to GB Make OS a efficient Digital Business Ensure OS is resilient and relevant Identify Business Use Case/s BasicParallel Processing Elastic Scalability Geoprocessing IS Ops Support Advanced Logging Model Sharing / Collaboration Integration with other Orgs (Uni) Motivates exchange oftalent and ideas
  • 9. IIBA UK Chapter South West Branch Stretching your Brain
  • 10. IIBA UK Chapter South West Branch luses first – what is good about the idea? pportunities – what could you do in the future with the idea if it was working? Ssues – concerns or downsides, phrased as open ended question: “How could …?” ew hinking – create new ideas
  • 11. IIBA UK Chapter South West Branch luses first – what is good about the idea? pportunities – what could you do in the future with the idea if it was working? Ssues – concerns or downsides, phrased as open ended question: “How could …?” ew hinking – create new ideas
  • 12. IIBA UK Chapter South West Branch luses first – what is good about the idea? pportunities – what could you do in the future with the idea if it was working? Ssues – concerns or downsides, phrased as open ended question: “How could …?” ew hinking – create new ideas
  • 13. IIBA UK Chapter South West Branch Example luses first – what is good about the idea? pportunities – what could you do in the future with the idea if it was working? Ssues – concerns or downsides, phrased as open ended question: “How could …?” ew hinking – create new ideas
  • 14. IIBA UK Chapter South West Branch Exercise 3 Minutes: Stretch your brain and write down as many solutions to the (silly) problem you can think of Select your favourite solution Present your solution 2 Minutes: Team to practice POINT and move to the next solution
  • 15. IIBA UK Chapter South West Branch Stretching your Brain What are all the things you can do with 100 left gloves?
  • 16. Defining an MVP I I BA A N A LY S I S I N AC T I O N ( O R D N A N C E S U RV E Y ) Sean O'Grady
  • 17. © Ordnance Survey 2017 | Confidential WORKFLOW (OUTCOME SEQUENCE/VALUE CHAIN) Q U A L I T Y O F S E R V I C E SIMPLE RICH View holidays Select product(s) Pay Receive documentation
  • 18. © Ordnance Survey 2017 | Confidential WORKFLOW (OUTCOME SEQUENCE/VALUE CHAIN) Q U A L I T Y O F S E R V I C E SIMPLE RICH View holidays Select product(s) Pay Receive documentation Feature 1 Feature 2 Feature 3 Feature 4 Feature 5 Feature 6 Feature 7 Feature 8 Feature 9 Feature 10 Feature 11 Feature 12 Feature 13 Feature 14 Feature 15 Feature 16
  • 19. © Ordnance Survey 2017 | Confidential WORKFLOW (OUTCOME SEQUENCE/VALUE CHAIN) Q U A L I T Y O F S E R V I C E SIMPLE RICH View holidays Select product(s) Pay Receive documentation Feature 1 Feature 2 Feature 3 Feature 4 Feature 5 Feature 6 Feature 7 Feature 8 Feature 9 Feature 10 Feature 11 Feature 12 Feature 13 Feature 14 Feature 15 Feature 16 MVP MVP MVP
  • 20. IIBA UK Chapter Next Events 24 Apr All About Velocity (virtual) 25 Apr Soft (strong) skills (London) 25 Apr Exploring the BA Domain (North) 10 May Making project meetings work (Midlands) 24 May tbc (Scotland)
  • 21. UK Centric Network @ukiiba Discounts on UK Events Access to UK Webinars Discounts on UK BA Conferences UK Based Knowledge Sharing IIBA UK Member Benefits
  • 22. IIBA UK Chapter South West Branch VOLUNTEER WITH US! We are always seeking volunteers to help run the branch and sponsors to host or help fund our events. If you can support us with any of these actions please speak to a committee member tonight or contact Kasia Bochenek (kasia.bochenek@iibauk.org)