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Optimising portfolios and
programmes in an ever changing
world
PwC
Capital Efficiency - Overview
Successful organisations are
Capital Efficient; integrating
strategy with planning and
execution across the asset
lifecycle.
Portfolio Optimisation is a key
aspect we see many
organisations finding difficult
to manage
PwC
Portfolio Optimisation
To be successful, organisations must continually evolve to the changing world and delivery environment. Portfolio
Optimisation aims to:
• Ensure money is spent on the right projects at the right time
• Provide a set of tools and processes to support management decisions
• Implement a benefit model against which financial and non-financial benefits are assessed against the
strategic objectives and optimised across the portfolio
• Apply a mathematical algorithm to the portfolio model to optimise the projects within the constraints of the
delivery environment, e.g. capital, cash flow, risk appetite, schedule etc.
• Maximise benefits and outcomes, aligned to strategic objectives
PwC
The building blocks of optimisation
Understanding and consolidation of existing structured and unstructured data sets
Assessment of delivery scenarios that
enable the maximisation of portfolio value
and benefits
Benefit
valuation
Prioritisation
methodology
Portfolio
model
visualisation
Risk
assessments
Prioritisation and
constraints
Control
data set
Thorough understanding of control data and definition of
prioritisation ratings
Existing data sets Business cases Project templates
Optimisation
Data governance
Portfolio
optimisation
Design processes and
governance that enable a long
term portfolio-wide
optimisation solution
Develop a portfolio data set
– establish data sources
and integrate into a single
data model
Establish a portfolio-wide
prioritisation framework,
establish delivery constraints
and business rules
Embedment of governance
for effective optimisation
PwC
Portfolio Optimisation - Process
Portfolio data set
Business rules and
dependencies identified
Build the portfolio database
Map project types
to strategic
objectives
Calculate benefit
values and
prioritise across
the portfolio
Run the
optimisation
algorithm
Report scenarios Act and Repeat
Gather project and
benefit data; initially
for sample project
population, moving to
full portfolio data set
in next phase.
For each area/division
map project types to
strategic pillars and
agree project “value
trees” to quantify project
contribution to each
benefit.
Use financial drivers
and “monetised” non-
financial benefits to
prioritise projects
across the portfolio.
Use genetic algorithms
to quickly trend to
optimised scenarios
on large and complex
portfolio data.
Use a mathematical
modelling scenario
functionality to
scrutinise model
outputs; use a
reporting platform to
present scenario
outcomes and results
(Tableau).
Project Division Cost Benefit Risk Priority score
Project 12 Corp ZAR 6.50m ZAR 585.17m 0.64 0.91
Project 6 Tx ZAR 9.72m ZAR 826.20m 0.76 0.88
Project 16 Corp ZAR 5.30m ZAR 424.04m 0.85 0.84
Project 14 Tx ZAR 7.46m ZAR 559.16m 0.71 0.79
Project 11 Dx ZAR 5.96m ZAR 417.43m 0.79 0.77
Project 9 Gx ZAR 5.83m ZAR 379.07m 0.01 0.61
Project 2 Tx ZAR 4.31m ZAR 258.86m 0.99 0.56
Project 4 Corp ZAR 8.95m ZAR 492.02m 0.20 0.56
Scenario 2: Maximise under
FY1 adjusted capex budget
Scenario 1: Maximise
portfolio benefit value
Scenario N: Maximise under
constraints A and B
Prioritisation and constraintsControl data set Optimisation
PwC
How does the optimisation algorithm work?
The optimisation algorithm uses the benefit value calculations from the prioritisation, and runs iterations to identify portfolio mixes that
meet the delivery constraints (e.g. funding envelop) and business rules (e.g. include all mandatory projects) and deliver greatest benefit to
the business. We use a learning algorithm to greatly increase the speed of finding solutions.
Maximised benefit
value scenarios
Informed
investment
decisions
Step 1
Title
Prioritised
portfolio
Within
constraints,
and business
rules
Step 1
Title
Project
Categorisation
The optimisation
algorithm
evaluates different
sets of portfolio
mixes and delivery
sequences that
maximise portfolio
benefit value and
meet business
constraints
identified
Prioritised
portfolio
Optimised
portfolio
Benefit value
Benefit value
How to get
“more
sweets in
the jar”
PwC
The benefits of optimisation…
An optimal portfolio strategy looks at what is best for the company, individual projects and / or business divisions. A portfolio modelling solution enables rapid generation of
portfolio options showing the economics / benefits of different portfolio configurations, so that management can make informed decisions in executing the strategy of the
business.
• Provides a consolidated view across the business of the capital portfolio
• Enables effective prioritisation of the capital allocation through a portfolio-wide framework, integrating business strategy and financial & resource
planning
• Enables the optimisation of the portfolio by identifying delivery scenarios that maximise value and benefits to the business
• Supported by the processes and governance that will enable the embedment of the prioritisation framework and optimisation tool into the organisation and
Business-as-usual
Establish portfolio
options that maximise
benefits & value
Understand trade-offs
for informed decision
making
Align corporate value
drivers with benefits
sought by projects
Prioritise Optimise Act
PwC
Contacts:
Matthew Ward-Close
Matthew.ward-close@pwc.com
+44 (0) 7850 516717
Lee Hillyard
Lee.hillyard@pwc.com
+44 (0) 7841 803605
This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained in this
publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this
publication, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not accept or assume any liability, responsibility or duty of care for any
consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision based on it.
© 2017 PricewaterhouseCoopers LLP. All rights reserved. In this document, “PwC” refers to PricewaterhouseCoopers LLP which is a member firm of PricewaterhouseCoopers International
Limited, each member firm of which is a separate legal entity.

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Optimising portfolios with algorithms

  • 1. Optimising portfolios and programmes in an ever changing world
  • 2. PwC Capital Efficiency - Overview Successful organisations are Capital Efficient; integrating strategy with planning and execution across the asset lifecycle. Portfolio Optimisation is a key aspect we see many organisations finding difficult to manage
  • 3. PwC Portfolio Optimisation To be successful, organisations must continually evolve to the changing world and delivery environment. Portfolio Optimisation aims to: • Ensure money is spent on the right projects at the right time • Provide a set of tools and processes to support management decisions • Implement a benefit model against which financial and non-financial benefits are assessed against the strategic objectives and optimised across the portfolio • Apply a mathematical algorithm to the portfolio model to optimise the projects within the constraints of the delivery environment, e.g. capital, cash flow, risk appetite, schedule etc. • Maximise benefits and outcomes, aligned to strategic objectives
  • 4. PwC The building blocks of optimisation Understanding and consolidation of existing structured and unstructured data sets Assessment of delivery scenarios that enable the maximisation of portfolio value and benefits Benefit valuation Prioritisation methodology Portfolio model visualisation Risk assessments Prioritisation and constraints Control data set Thorough understanding of control data and definition of prioritisation ratings Existing data sets Business cases Project templates Optimisation Data governance Portfolio optimisation Design processes and governance that enable a long term portfolio-wide optimisation solution Develop a portfolio data set – establish data sources and integrate into a single data model Establish a portfolio-wide prioritisation framework, establish delivery constraints and business rules Embedment of governance for effective optimisation
  • 5. PwC Portfolio Optimisation - Process Portfolio data set Business rules and dependencies identified Build the portfolio database Map project types to strategic objectives Calculate benefit values and prioritise across the portfolio Run the optimisation algorithm Report scenarios Act and Repeat Gather project and benefit data; initially for sample project population, moving to full portfolio data set in next phase. For each area/division map project types to strategic pillars and agree project “value trees” to quantify project contribution to each benefit. Use financial drivers and “monetised” non- financial benefits to prioritise projects across the portfolio. Use genetic algorithms to quickly trend to optimised scenarios on large and complex portfolio data. Use a mathematical modelling scenario functionality to scrutinise model outputs; use a reporting platform to present scenario outcomes and results (Tableau). Project Division Cost Benefit Risk Priority score Project 12 Corp ZAR 6.50m ZAR 585.17m 0.64 0.91 Project 6 Tx ZAR 9.72m ZAR 826.20m 0.76 0.88 Project 16 Corp ZAR 5.30m ZAR 424.04m 0.85 0.84 Project 14 Tx ZAR 7.46m ZAR 559.16m 0.71 0.79 Project 11 Dx ZAR 5.96m ZAR 417.43m 0.79 0.77 Project 9 Gx ZAR 5.83m ZAR 379.07m 0.01 0.61 Project 2 Tx ZAR 4.31m ZAR 258.86m 0.99 0.56 Project 4 Corp ZAR 8.95m ZAR 492.02m 0.20 0.56 Scenario 2: Maximise under FY1 adjusted capex budget Scenario 1: Maximise portfolio benefit value Scenario N: Maximise under constraints A and B Prioritisation and constraintsControl data set Optimisation
  • 6. PwC How does the optimisation algorithm work? The optimisation algorithm uses the benefit value calculations from the prioritisation, and runs iterations to identify portfolio mixes that meet the delivery constraints (e.g. funding envelop) and business rules (e.g. include all mandatory projects) and deliver greatest benefit to the business. We use a learning algorithm to greatly increase the speed of finding solutions. Maximised benefit value scenarios Informed investment decisions Step 1 Title Prioritised portfolio Within constraints, and business rules Step 1 Title Project Categorisation The optimisation algorithm evaluates different sets of portfolio mixes and delivery sequences that maximise portfolio benefit value and meet business constraints identified Prioritised portfolio Optimised portfolio Benefit value Benefit value How to get “more sweets in the jar”
  • 7. PwC The benefits of optimisation… An optimal portfolio strategy looks at what is best for the company, individual projects and / or business divisions. A portfolio modelling solution enables rapid generation of portfolio options showing the economics / benefits of different portfolio configurations, so that management can make informed decisions in executing the strategy of the business. • Provides a consolidated view across the business of the capital portfolio • Enables effective prioritisation of the capital allocation through a portfolio-wide framework, integrating business strategy and financial & resource planning • Enables the optimisation of the portfolio by identifying delivery scenarios that maximise value and benefits to the business • Supported by the processes and governance that will enable the embedment of the prioritisation framework and optimisation tool into the organisation and Business-as-usual Establish portfolio options that maximise benefits & value Understand trade-offs for informed decision making Align corporate value drivers with benefits sought by projects Prioritise Optimise Act
  • 8. PwC Contacts: Matthew Ward-Close Matthew.ward-close@pwc.com +44 (0) 7850 516717 Lee Hillyard Lee.hillyard@pwc.com +44 (0) 7841 803605 This publication has been prepared for general guidance on matters of interest only, and does not constitute professional advice. You should not act upon the information contained in this publication without obtaining specific professional advice. No representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this publication, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not accept or assume any liability, responsibility or duty of care for any consequences of you or anyone else acting, or refraining to act, in reliance on the information contained in this publication or for any decision based on it. © 2017 PricewaterhouseCoopers LLP. All rights reserved. In this document, “PwC” refers to PricewaterhouseCoopers LLP which is a member firm of PricewaterhouseCoopers International Limited, each member firm of which is a separate legal entity.