data-driven pmo : how to unlock value from your pmo
DESCRIPTION
Presentation held during breakfast session in Hotel Meridien, Brussels on the 13th of march 2013. 40 participants.TRANSCRIPT
How to unlock value from your PMO?March 13th, 2013
« Le Méridien », Brussels
Why is the value locked?
6 propositions to unlock the value
How to generate instant value?
Real examples
Agenda
Part 1.
Part 2.
Part 3.
Part 4.
Part 1Why is the value locked?
Enterprise PMO
Line PMO
Functional PMO
Métier PMO
Types of PMO
TOP Mgmt
CIO CFO CxO
Metier 1
F12
F12
F13
Metier 2
F21
F22
F23
Metier n
The higher the PMO,
the more general and
transversal the scope.
Functional PMOs deal
with more specific
contents
Types of systems interacting with PMOs
PMO
Project
manage
ment
toolsBudgets
Accoutin
g ERP’s
Project
Helpdes
k
Purchas
e order
maker
Porfolio
Mgmt
tools
List of
acitvitie
s
Testing
automat
es
Code
qualifica
tion
Reportin
g tools
…
Systems interact with
each other (yellow
arrows) and with the
external world (orange
arrows).
Type of phases supported by PMOs
Demand
Management
• Demand log
• Demand Evaluation
• Simulation
• Budget Allocation
• Demand Management
Performance
PPP Management
• Project Management
• Project Initiation
• Project Control
• Project Closure
• Program Management
• Portfolio Management
• PPP Performance
Asset
Management
• Asset Maintenance
• Asset Evolution
• Asset Performance
PMOs differ in organisation by
� Level they are working at
� Type of information they manage
� Type of phase they support
But also
� Due to the various maturity levels of and withinthe organisation
� Value is perceived differently by the various stakeholders and access to relevant info is generally not easy
� Information needs are linked to the nature of stakeholders: it must be specific to their needs
Conclusion part 1
Part 26 propositions to unlock the value
Data in traditional PM tool (1/2)
Project 1
Project n
t
� Blurred, monochrome picture
PM tools manage much
info per project and
produce global ‘static’
pictures with last relevant
data. As these raw data all
come from the same
system, we consider it as a
blurred, monochrome
picture
Data in traditional PM tool (2/2)
Project 1
Project n
t
� Blurred, monochrome picture
PM tools manage much
info per project and
produce global ‘static’
pictures with last relevant
data. As these raw data all
come from the same
system, we consider it as a
blurred, monochrome
picture
Proposition 1 : use only useful PM data
� Project ID
� Project Name
� Project Manager
� Start Date
� Finish date
� Progress
� « Meteo »
� Trend
Signaletic
Progress
Tasks
Figures
Teams
OBS link
Rule #1 : use some
functional data
& not all
technical data available
� Focused monochrome picture !
Proposition 2 : add more data
� Project ID
� Project Name
� Project Manager
� Start Date
� Finish date
� Progress
� Meteo
� Trend
� Budget
� % consumed
� Project Manager
� % milestones
achieved
Accounting
Operational tools
Rule #2 : combine data
from other sources.
1+1 > 2
Proposition 3 : enrich & qualify your data
Rule #3 : qualify &
enrich your data to
produce missing
elements
� Project ID
� Project Name
� Project Manager
� Start Date
� Finish date
� Progress
� Meteo
� Trend
� Budget
� % consumed
� Project Manager
� % milestones
achieved
� Project ID
� Project Name
� Project Manager
� Start Date
� Finish date
� % Progress
� Meteo
� Trend
� Budget
� % consumed
� Project Manager
� % milestones
achieved
� KQI01 : PM definition
� KPI01 : % Progress
vs Budget
� KPI02 : % Progress vs.
Calendar elapsed
� TH01 : calendar elapsed %
KQI01KPI01
KPI02
� Colour picture !
Proposition 4 : build your PMO ‘memory’
Project 1
Project n
t1 tp
Rule #4 : historise
combined data
& generate more
enrichments and DQ
controls
Application of the rulesParameter today t-1M t-2M t-3M t-4M t-5M t-6M
Project ID P001 P001 P001 P001 P001 P001 P001
Project Manager TDV TDV TSO TSO TLA TLA TLA
Start Date 1/01/2012 1/01/2012 1/01/2012 1/01/2012 1/01/2012 1/01/2012 1/01/2012
Finish Date 1/04/2013 1/04/2013 1/04/2013 1/04/2013 1/04/2013 1/04/2013 1/04/2013
Progress 80% 80% 80% 80% 78% 78% 78%
Meteo Rainy Rainy Rainy Sunny Sunny Sunny Sunny
Trend Normal Normal Normal Up Up Up Up
Initial Budget 120 120 120 120 120 120 120
Actuals 110 90 80 75 72 70 50
Project Manager TDV TDV TSO TSO TSO TLA TLA
% Milestones Reached 70% 70% 65% 65% 65% 50% 50%
DQ01 : PM Definition TRUE TRUE TRUE TRUE FALSE TRUE TRUE
TH01 : calendar elapsed 96% 89% 82% 76% 69% 63% 56%
TH02 : Budget Progress 92% 75% 67% 63% 60% 58% 42%
KPI01 : (Progress/TH02) 87% 107% 120% 128% 130% 134% 187%
KPI02 : (Progress/TH01) 84% 90% 97% 105% 113% 124% 139%
KPI03 : Progress vs3M 0% 2% 2% n.a n.a n.a n.a
KPI04 : PM 6month rotation 3 3 2 2 1 1 1
Rule #4 : historiseRule #2 : more
sources
Rule #3 : enrich &
qualify
Rule #4 bonus : enrich & qualify using history
Rule #1 : simple
functional data� Colour Video !
Progress in chart
t-6M t-5M t-4M t-3M t-2M t-1M today
Progress 78% 78% 78% 80% 80% 80% 80%
% Milestones Reached 50% 50% 65% 65% 65% 70% 70%
TH01 : calendar elapsed 56% 63% 69% 76% 82% 89% 96%
TH02 : Budget Progress 42% 58% 60% 63% 67% 75% 92%
0%
20%
40%
60%
80%
100%
120%
Pro
gre
ss
Cross-Progress view
Proposition 5 : produce all governance
inputsSet of integrated
reports with the same
scope, used in different
governance bodies.
One single reporting
truth!
Proposition 6 : see your information from
different points of viewDashboards with drill-
down and ‘back in time’
capacity that can
explain all figures.
Conclusion part 2 : This enables to …
� Aggregate the information easily
� Go back in the the past
� Generate trends analysis (raw data, quality,
enrichments…)
� Detect anomalies by comparing ‘alike’ data
� Progress vs. % Milestones reached
� Progress vs. Budget consumption
� …
� Calculate key performance indicators
� PM 6 month rotation < 6
� Expected burn rate to finish
� …
� Produce dynamic dashboards
Part 3How to generate instant value
Information life cycle
rogram
PMO
Data
PMO
Information
PMO
Governance
Organisations generate
data (referentials,
progress, budgets,
orders, invoices,
forecasts, meteo...)
Decisions impact the
organisation
Data is controlled &
transformed into
intelligent Information
(KPIs, trends...)
Input is available to
make informed
decisions (faster,
better and more
reliable) decisions
Other
sources
Organisations
use other
data to
complete
theirs
Organisation
3 levers for improvement
rogram
PMO
Data
PMO
Information
PMO
Governance
Organisation
Focus of DepFac intervention
Capture of
useful data 3Restitution of right info, at the
right time & in the right format
� data-driven management
2
Transformation
of data into info
Other
sources
1
4
Driving actions through
existing management
� Non intrusive
� Simplicity : use of a limited set of functional data vs. all technical data
� Time to deliver : short term delivery with first iterations in weeks & full solution in months
� Generic : valid for all types of PMOs
� Coherence : wide range of stakeholders using the same information
� Leverage of previous investments
Value
Part 4Real examples
These are the various PMOs we
enabled
� IT PMO
� Facility Management PMO
� Risk PMO
� Basel 2 PMO
� Separation PMO
� Merger PMO
� Transformation PMO
� Corporate PMO
More info upon request
Deployments Factory SA
Rue Guillaume Stocqstraat 79
1050 Brussels - Belgium
Tel: +32 2 290 63 90
Email: [email protected]
Twitter: @depfac
Questions?More Information?