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Performance Reporting Framework
Outcomes:Our assessmentandconsultancyisaimedatcreatinggreatercost transparency,
enablingthe monitoringandreportingof performance andcreating greaterefficiencyand
effectivenessinperformance reporting process.
How
Our methodsinclude consultations,surveysof
stakeholders,reviewinganumberof metricsrelatedto
the effectivenessof performance reporting.
We identifyyourgoalsandthe gaps inyour data,your
processesandyourtechnologythatare hinderingthe
provisionof transparent,rapidandtimelyinformation.
Andif you require atechnologyplatform,we provide
highlyinsightful marketanalysisof the leading
technologies,andpractical approachestoa sustainable
implementation.
What
Baseline Assessment–An assessmentcoveringall the fourpillarsof deliveringeffective
performance reporting
Basedon our fourpillarsapproachto performance reporting,we provideanassessmentof your
performance reportingsituation.
We provide clearandpractical stepsleadingtosustainableandeffectiveperformance reporting
inyour organisation.
TheFourPillars
o Developa sustainable and common data foundation- keyroadblocksintermsof the
currentdata platformthat maypreventopen,transparentandreliable performance
reporting
o Developconsistent,revealingprofitabilityandcosting structures – developgranular
profitabilityandcostingstructuresenablingdeeperanalysisof profitability,costsof
servicesandotherbusinessdimensions
o Developeffective planning,budgetingandforecasting processes– developenhanced
processesandalignmenttoperformance reporting.Use ourquadrantanalytictool to
define whereyouare andwhere youwantto be
o Selectand implementscalable performance reportingtechnology - Maximise value of
investmentintechnologyplatformsthatenablesustainablechange
Why
o Stiffeningregulatoryrequirements –needfor
greatertransparencyandreporting
o Technologydisruption –Latesttechnologyis
highlydevelopedandmature.Dangerof losing
the edge ininformationcompetitiveness
o Reorganisationsandacquisitions causing
disruptiontoperformance reportinganddata
platforms
o ChangingIT systems –lack of alignmentof legacy
systemswithdataneededforeffective
performance monitoringandreporting.
Baseline
Assessment
 Data foundation
 Data source review
 Define information
gaps
 Legacy systems data
capture and structure
 Profitability and costing
capabilities
 Budgeting assessment
 Information goals
definition
 Data quality
assessment
 Currency of data
 Survey of stakeholders
reporting needs
 Review current systems
 Recommendations
 Performance reporting
roadmap
Develop consistent,
revealing
profitability and
costing structures
 Define information gaps
 Analytic structures
definition/implement
 Chart of accounts
 Cost models and
structures
 Position on PM quadrant
 Unit costs to drive
benchmarks and
forecasts
 Customer/service
profitability
 Steps to apply
profitability to more
granular levels
 Activity based costing
 Working practice
changes
 Reduce spreadsheet
complexity
Develop effective
planning, budgeting
and forecasting:
 Processes to engage
business
 Driver based planning
 Mechanisms to reduce
planning complexity
 Use of assumptions
and unit costs in
planning
 Productivity
enhancements
 Budget accelerators
 Aligning to
management decision
making
 Performance measures
 Agile rolling processes
 Aligning to value drivers
 Assess existing use of
technology
 Case for new
technology deployment
Select and
implement, scalable
enabling technology
 Optimise existing
platforms
 Roadmap for current
solution
 Sourcing latest
generation technology
 Become technology
prepared
 Market review
 Scalable and agile
approach
 Benefit from the
technology disruption
occuring
Develop sustainable
and common data
foundation
 Policies for data
governance/ ownership
 Define key business
dimensions and size
 Common, consistent
data
definition/classification
 Define common data
hierarchies
 Categorising business
data for insight
 Managing data
sustainability
 Master data
management strategies
 Define and review key
measures e.g. Margin
 Define/implement
analytic structures
 Use of external data

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CPM methodology - Phil

  • 1. Performance Reporting Framework Outcomes:Our assessmentandconsultancyisaimedatcreatinggreatercost transparency, enablingthe monitoringandreportingof performance andcreating greaterefficiencyand effectivenessinperformance reporting process. How Our methodsinclude consultations,surveysof stakeholders,reviewinganumberof metricsrelatedto the effectivenessof performance reporting. We identifyyourgoalsandthe gaps inyour data,your processesandyourtechnologythatare hinderingthe provisionof transparent,rapidandtimelyinformation. Andif you require atechnologyplatform,we provide highlyinsightful marketanalysisof the leading technologies,andpractical approachestoa sustainable implementation. What Baseline Assessment–An assessmentcoveringall the fourpillarsof deliveringeffective performance reporting Basedon our fourpillarsapproachto performance reporting,we provideanassessmentof your performance reportingsituation. We provide clearandpractical stepsleadingtosustainableandeffectiveperformance reporting inyour organisation. TheFourPillars o Developa sustainable and common data foundation- keyroadblocksintermsof the currentdata platformthat maypreventopen,transparentandreliable performance reporting o Developconsistent,revealingprofitabilityandcosting structures – developgranular profitabilityandcostingstructuresenablingdeeperanalysisof profitability,costsof servicesandotherbusinessdimensions o Developeffective planning,budgetingandforecasting processes– developenhanced processesandalignmenttoperformance reporting.Use ourquadrantanalytictool to define whereyouare andwhere youwantto be o Selectand implementscalable performance reportingtechnology - Maximise value of investmentintechnologyplatformsthatenablesustainablechange Why o Stiffeningregulatoryrequirements –needfor greatertransparencyandreporting o Technologydisruption –Latesttechnologyis highlydevelopedandmature.Dangerof losing the edge ininformationcompetitiveness o Reorganisationsandacquisitions causing disruptiontoperformance reportinganddata platforms o ChangingIT systems –lack of alignmentof legacy systemswithdataneededforeffective performance monitoringandreporting.
  • 2. Baseline Assessment  Data foundation  Data source review  Define information gaps  Legacy systems data capture and structure  Profitability and costing capabilities  Budgeting assessment  Information goals definition  Data quality assessment  Currency of data  Survey of stakeholders reporting needs  Review current systems  Recommendations  Performance reporting roadmap Develop consistent, revealing profitability and costing structures  Define information gaps  Analytic structures definition/implement  Chart of accounts  Cost models and structures  Position on PM quadrant  Unit costs to drive benchmarks and forecasts  Customer/service profitability  Steps to apply profitability to more granular levels  Activity based costing  Working practice changes  Reduce spreadsheet complexity Develop effective planning, budgeting and forecasting:  Processes to engage business  Driver based planning  Mechanisms to reduce planning complexity  Use of assumptions and unit costs in planning  Productivity enhancements  Budget accelerators  Aligning to management decision making  Performance measures  Agile rolling processes  Aligning to value drivers  Assess existing use of technology  Case for new technology deployment Select and implement, scalable enabling technology  Optimise existing platforms  Roadmap for current solution  Sourcing latest generation technology  Become technology prepared  Market review  Scalable and agile approach  Benefit from the technology disruption occuring Develop sustainable and common data foundation  Policies for data governance/ ownership  Define key business dimensions and size  Common, consistent data definition/classification  Define common data hierarchies  Categorising business data for insight  Managing data sustainability  Master data management strategies  Define and review key measures e.g. Margin  Define/implement analytic structures  Use of external data