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The Future of PPM:
Portfolio Decision Optimization

          David G. Ullman, Robust Decisions
     ullman@robustdecisions.com, 541-754-3609

    Harvey A. Levine, The Project Knowledge Group


                    March 1 2009



                    RDI Confidential, 2009          1
                ullman@robustdecisions.com
We live in an economically strapped world where it is
 essential to have a portfolio of successful projects

• Yet few IT projects are successful
   – 35% (2006 Chaos Report from the Standish Group)
   – 50% (SAP)
                                                     These are self-reported
• Many are late or over budget                       numbers, so reality is
   – 46% (Chaos)                                     worse than these values.
   – 40% (SAP)
• 80% of new technologies not used as intended or
  abandoned within six months of implementation (Ernst &
  Young)

                  Why is this so hard??
Projects are not aligned with strategic initiatives.
Poor decisions are made, decisions based on uncertain information.

                            RDI Confidential, 2009                          2
                        ullman@robustdecisions.com
Project success can be improved by treating Portfolio
 Management as a dynamic decision-making process

Dr. Robert Cooper, in Chpt 7.2 of PROJECT PORTFOLIO
MANAGEMENT (Harvey Levine, 2005) states:
    “Portfolio management is a dynamic decision process, whereby a
    business’s list of active new product (and development) projects is
    constantly up-dated and revised. ….. The portfolio decision process
    is characterized by uncertain and changing information, dynamic
    opportunities, multiple goals and strategic considerations,
    interdependence among projects, and multiple decision-makers and
    locations”

  In the years since this quote was published, PPM systems have
  matured and capable decision-support tools have been developed.
   Now, it is time to fuse these technologies to optimize portfolios.
                             RDI Confidential, 2009                     3
                         ullman@robustdecisions.com
Portfolio Management requires decision’s that
        address 6 key portfolio questions

                        Will this project            Why are we
                        cause excessive              doing this
                        multi-tasking, or             project?
                       delay other critical
                              work?                            What are
 Does the value
                                                                the key
 equation fully
                                                              risk areas?
consider all risk
and uncertainty
    issues?
                                                        What areas of
                                                    uncertainty endanger
                                                      the realization of
 What strategic
                                                          benefits?
initiatives does
  this project
    support?
                    Portfolio Management Team (PMT)

                           RDI Confidential, 2009                          4
                       ullman@robustdecisions.com
Answering these questions requires customized
           acquisition and analysis methods

• Since 1995 Robust Decisions Inc. (RDI) has been
                                                                   quot;Very powerful!quot; Intelligence
  developing decision management tools:                            Community Executive
   – Accord™ – A general decision support tool                     “BTS is the only technology I
   – BACH™ – currently under development with Lockheed Martin      know of that can fuse uncertain
                                                                   information and guide team
     for use by Intelligence Agencies to fuse uncertain evidence   decisions. We are applying this
   – Compare2™ – recently developed internet offering helps        technology to support
                                                                   Intelligence analysis for the US
     customers compare products
                                                                   government.” Rick Behrens,
• All use the Bayesian Team Support (BTS) engine and               Chief Technologist, Edge
                                                                   Consulting (Prime Contractor
  interfaces – customized to fit the application - to              to Lockheed-Martin), Feb
                                                                   2009.
  manage uncertain information

                                 Compare2



                                           Accord


                                   RDI Confidential, 2009                                    5
                               ullman@robustdecisions.com
All RDI decision support tools share a common
compute engine: Bayesian Team Support™ (BTS)
•   Captures and manages uncertain information
•   Uses patented, state-of-the-art AI methods
•   Fuses multiple stakeholder evaluations
•   Is modular - compute engine separable from user interface
•   Produces decision metrics:
      • Satisfaction – how good is the project for this portfolio
      • Decision Risk – what is the risk in selecting the project based
        on the uncertainty
      • What-to-do-next to lower the risk
      • How does this project rank, compared to others

                                    Easy to achieve integration and licensing
                                    • BTS is in Java with SQL database
                                    • Many features are Web enabled
                                    • Can be licensed by incremental feature
                                       added, by use, or by seat


                                    RDI Confidential, 2009                      6
                                ullman@robustdecisions.com
Applying BTS to Portfolio Decision Optimization
          can be achieved with modest effort
•     The compute engine that supports the PDO decision making
      functions exists, is fully functional, and is used in other
      applications.
•     It can extend traditional PPM systems to support organizational
      decision makers answer their most pressing questions in a
      manner that:
     1.   Aligns portfolios with strategic initiatives.
     2.   Allows organization to actually manage uncertainty and risk
     3.   Treats portfolio management as the dynamic decision-making process
          that it is.

                                 contact
                             David G. Ullman
                            Robust Decisions
                       ullman@robustdecisions.com
                              541-754-3609

                                RDI Confidential, 2009                     7
                            ullman@robustdecisions.com

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Portfolio Decision Optimization

  • 1. The Future of PPM: Portfolio Decision Optimization David G. Ullman, Robust Decisions ullman@robustdecisions.com, 541-754-3609 Harvey A. Levine, The Project Knowledge Group March 1 2009 RDI Confidential, 2009 1 ullman@robustdecisions.com
  • 2. We live in an economically strapped world where it is essential to have a portfolio of successful projects • Yet few IT projects are successful – 35% (2006 Chaos Report from the Standish Group) – 50% (SAP) These are self-reported • Many are late or over budget numbers, so reality is – 46% (Chaos) worse than these values. – 40% (SAP) • 80% of new technologies not used as intended or abandoned within six months of implementation (Ernst & Young) Why is this so hard?? Projects are not aligned with strategic initiatives. Poor decisions are made, decisions based on uncertain information. RDI Confidential, 2009 2 ullman@robustdecisions.com
  • 3. Project success can be improved by treating Portfolio Management as a dynamic decision-making process Dr. Robert Cooper, in Chpt 7.2 of PROJECT PORTFOLIO MANAGEMENT (Harvey Levine, 2005) states: “Portfolio management is a dynamic decision process, whereby a business’s list of active new product (and development) projects is constantly up-dated and revised. ….. The portfolio decision process is characterized by uncertain and changing information, dynamic opportunities, multiple goals and strategic considerations, interdependence among projects, and multiple decision-makers and locations” In the years since this quote was published, PPM systems have matured and capable decision-support tools have been developed. Now, it is time to fuse these technologies to optimize portfolios. RDI Confidential, 2009 3 ullman@robustdecisions.com
  • 4. Portfolio Management requires decision’s that address 6 key portfolio questions Will this project Why are we cause excessive doing this multi-tasking, or project? delay other critical work? What are Does the value the key equation fully risk areas? consider all risk and uncertainty issues? What areas of uncertainty endanger the realization of What strategic benefits? initiatives does this project support? Portfolio Management Team (PMT) RDI Confidential, 2009 4 ullman@robustdecisions.com
  • 5. Answering these questions requires customized acquisition and analysis methods • Since 1995 Robust Decisions Inc. (RDI) has been quot;Very powerful!quot; Intelligence developing decision management tools: Community Executive – Accord™ – A general decision support tool “BTS is the only technology I – BACH™ – currently under development with Lockheed Martin know of that can fuse uncertain information and guide team for use by Intelligence Agencies to fuse uncertain evidence decisions. We are applying this – Compare2™ – recently developed internet offering helps technology to support Intelligence analysis for the US customers compare products government.” Rick Behrens, • All use the Bayesian Team Support (BTS) engine and Chief Technologist, Edge Consulting (Prime Contractor interfaces – customized to fit the application - to to Lockheed-Martin), Feb 2009. manage uncertain information Compare2 Accord RDI Confidential, 2009 5 ullman@robustdecisions.com
  • 6. All RDI decision support tools share a common compute engine: Bayesian Team Support™ (BTS) • Captures and manages uncertain information • Uses patented, state-of-the-art AI methods • Fuses multiple stakeholder evaluations • Is modular - compute engine separable from user interface • Produces decision metrics: • Satisfaction – how good is the project for this portfolio • Decision Risk – what is the risk in selecting the project based on the uncertainty • What-to-do-next to lower the risk • How does this project rank, compared to others Easy to achieve integration and licensing • BTS is in Java with SQL database • Many features are Web enabled • Can be licensed by incremental feature added, by use, or by seat RDI Confidential, 2009 6 ullman@robustdecisions.com
  • 7. Applying BTS to Portfolio Decision Optimization can be achieved with modest effort • The compute engine that supports the PDO decision making functions exists, is fully functional, and is used in other applications. • It can extend traditional PPM systems to support organizational decision makers answer their most pressing questions in a manner that: 1. Aligns portfolios with strategic initiatives. 2. Allows organization to actually manage uncertainty and risk 3. Treats portfolio management as the dynamic decision-making process that it is. contact David G. Ullman Robust Decisions ullman@robustdecisions.com 541-754-3609 RDI Confidential, 2009 7 ullman@robustdecisions.com