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Smarter Faster BetterQUT ConsultingSNC - Lavalin
Agenda Overview Analysis Alternatives Recommendation Implementation onImplementationConclusion
Problem StatementHow do we transform the EDPM business model toembrace the opportunities stemming fromtechnological innovation and harness it’s potentialfor profitability and future mplementationConclusion
IssuesOverviewDigital innovation spreadacross all sectors andbusiness units in pocketsR&D investment lowrelative to otherindustriesFairly conservativeinvestor baseLabor heavy businessmodelNew technologies in themarket not beingoptimized in the sectorDisruptive platformsentering the tionConclusion
Our SolutionTransform and automate our engineering processesto optimize our cost structure while movingengineering to fixed price nImplementationConclusion
AnalysisQUT consulting
Macro trendsGrowing need forinfrastructurePoor productivity in constructioncompared to other industriesGrowing technologyand digital solutionsGrowth of an on demandand agile labor plementationConclusion
CompanyExtended reachFounded 1911Variety of areas of subject matter expertiseOver 50,000 FTETrack record business relationships 10B RevenueBBB credit ratingSound financial performanceAs needs investment in R&D – project ImplementationConclusion
EDPM sectorTalent pool and tacit knowledge75 yearsEnd to end services18,000 FTE 3.2B RevenueTrack record business relationshipsBuilding value through onImplementationConclusion
CustomerGovernment OverviewPrice stabilityOn time deliveryTransparencyRisk adverseCapability shortfallAnalysisAlternativesNongovernment Typically bigbusiness Value for money Timeliness Outcome focusedRecommendationThe shareholder Balanced riskStable dividendsContinual growthClear andconvincing strategyImplementationConclusion
Ability to executeNew opportunitiesTechnology ionImplementationConclusion
AlternativesQUT consulting
AlternativesOverviewUberize yourresourcesUse analyticsto build betterPrint yourbridge – in 3DDo it once,again tationConclusion
Uberize your resourcesChange the contractor employment modelHire engineers on demandCost 50-150 MTimeframe 24 plementationConclusion
Use Analytics to build BetterData collection during design and onsite constructionBusiness intelligence with smart recommendationsContinuous EDPM improvementCost 25-40 MTimeframe 36 plementationConclusion
Print your bridge – in 3DEstablish a startup style 3D EDPM teamCreate a new suite of engineering products that can be “bought off the shelf”Focus on new and emerging marketsCost 75-100 MTimeframe 36 plementationConclusion
Selection CriteriaAgility of theModelFuture TotalUberize yourresources243211Use analytics tobuild better343414Print yourbridge – in 3D443314Do it once,again and ionImplementationConclusion
RecommendationTransform and automate our engineering processesto optimize our cost structure while movingengineering to fixed price nImplementationConclusion
RecommendationDo it once, again and againCapture TacitKnowledgeOverviewAnalysisRetaining theBest mationImplementationConclusion
RecommendationCapture TacitKnowledgeRetaining theBest MindsContractualTransformationUse AI against older information tocapture lost knowledgeWhere possible embed workplaceflexibility into your cultureMove to a fixed price contractRe-use this knowledge on futureprojects to eliminate re-workImprove employee benefits andensure you have the best teamsLeverage AI and data analytics toautomatically mitigate the risks toa fixed-price contractLeverage machine learning toautomatically recommend designand engineering improvementsEnsure that your staff arecontinuously challenged andengaged in their workAutomate the generation of termsand conditions to prevent previousissues from nImplementationConclusion
ImplementationQUT consulting
Implementation PlanInitial ICT Capital Investment 25-35MCapture tacit knowledge – 24 Months Identify target processes and outputs Baseline and Standardize Trial and Scale 3.6 M(36 x FTE @1000 per Day)Retain the best minds – 12 Months Develop policies and procedures Determine required mix of technologies Promotion Capitalize on savings 3 M(12 x FTE @1000 per Day)Contractual transformation – 18 Months Identify target customers Collate and categorize all relevant data Gather key staff for lessons learned and best practice Identify target areas for improvement and automation Recalibrate Risk Margins 9.3 M(24 x FTE @1000 per Day)Change onImplementationConclusion
RisksRiskRatingMitigationRatingUpwork concept gainstractionMPromote to customers the risk of hiring teams ofindividualsL/MInsufficient data available formachine learningMContingency funding to cover labor costs of bridgingthe gapsL/MReduced productivity fromoff-site workersM/HMonitoring technologyKPIs output and outcome focusedDedicated oversightRegular contract as standardFixed priced contracts blowoutM/HIncremental approachAdditional checkpoint initially – expert poolL/MInvestor buy-inM/HExplain potential of disruption and benefits ofmoving onImplementationLConclusion
Contingency planWhat if investors & keystakeholders do not respond toplan and funding not available?Partner with startups todevelop the technologies atlower ementationConclusion
Per ImplementationProfit lossoffset throughsale of maturecapitalinvestmentprojectsConclusion
A new business model that delivers tothe customer while reducing riskWhat's StaysValue in our expertise and vastexperience in the industryTapping into our experience in ways wehave never done beforeOverviewAnalysisAlternativesWhat's NewRecommendationWhat's DifferentImplementationConclusion
In summaryProblemHow do we transform the EDPM business model to embracethe opportunities stemming from technological innovationand harness it’s potential for profitability and future growth?SolutionTransform and automate our engineering processes tooptimize our cost structure while moving engineering to fixedprice contractsOutcomeDeliver the product that your customer wantsand reduce cost to deliver the value to Develop the business model that is robust against Techchanges and is repeatable through other business unitsRecommendationImplementationConclusion
onImplementationConclusion
Smarter Faster Better QUT Consulting SNC - Lavalin. Overview Analysis Alternatives Recommendation Implementation Conclusion Agenda Overview Analysis Alternatives . Use Analytics to build Better Data collection during design and onsite construction Business intelligence with s
