Key Takeaways
- According to PMI's 2023 Pulse of the Profession report, high-performing organizations are 2.5 times more likely to deliver projects on time compared to low performers.
- The Standish Group 2020 CHAOS Report indicates that only 35% of software projects were successful in meeting time, budget, and quality goals.
- PMI's 2022 survey found that 52% of projects met their original goals and business intent.
- PMI 2022 Pulse reports average cost overrun of 27% across industries.
- McKinsey 2019 analysis shows mega-projects overrun by 50% on average.
- Standish Group 2020 CHAOS: Agile projects overrun costs by only 11% vs 52% waterfall.
- PMI 2022 reports average schedule overrun of 43% for challenged projects.
- McKinsey 2020: Mega-projects delay average 40% of schedule.
- Standish CHAOS 2020: Agile projects on time 37% vs 29% traditional.
- PMI 2021 finds 70% of organizations underutilize skilled resources, leading to inefficiencies.
- McKinsey 2022: Top firms allocate resources 2.1x better.
- Gartner 2023: 55% PMs lack resource visibility tools.
- PMI 2022 identifies top risk as scope creep affecting 43% of projects.
- McKinsey 2023: Unidentified risks cause 37% failures.
- Standish CHAOS 2020: Lack of risk mgmt in 50% failed projects.
Despite high failure rates, strong project management practices dramatically increase success.
Budget and Cost Management
- PMI 2022 Pulse reports average cost overrun of 27% across industries.
- McKinsey 2019 analysis shows mega-projects overrun by 50% on average.
- Standish Group 2020 CHAOS: Agile projects overrun costs by only 11% vs 52% waterfall.
- KPMG 2023 survey: 43% of projects exceed budgets by over 20%.
- Deloitte 2021: Government projects average 80% cost overrun.
- PwC 2020: 68% of orgs report budget overruns in strategic projects.
- Gartner 2022: Poor cost estimation causes 30% of budget excesses.
- BCG 2021: Mature PM reduces cost variance by 15%.
- EY 2020 infrastructure: Average overrun 28% for transport projects.
- Forrester 2023: Digital projects cost 45% more than planned.
- Accenture 2022: AI in PM cuts overruns by 20%.
- Capgemini 2021: Cloud migrations overrun by 31%.
- IDC 2022: ERP implementations average 175% of budget.
- Oxford 2020: Mega-projects final cost 96% higher than initial.
- PMI 2021: Underestimating costs leads to 45% variance.
- Harvard Business Review 2018: 65% of projects exceed budget by 50%+.
- World Bank 2022: Infrastructure overruns average 50-100%.
- Iron Triangle study: Cost overrun average 45%.
- Chaos Report 2023: Successful projects under budget 71%.
- McKinsey 2023: Agile cuts cost overruns by 28%.
- Deloitte 2022: Energy sector overruns 35%.
- KPMG 2021: 56% projects over budget due to scope changes.
- PwC 2022: SMEs see 25% less overruns than enterprises.
- Gartner 2023: PPM tools reduce overruns by 18%.
- BCG 2022: Portfolio management saves 10-20% costs.
- PMI 2023: Benefits realization averages 65% of projected.
- Standish 2021: Failed projects waste $50K-$1M each.
- EY 2023: PPP projects overrun 40% less than traditional.
Budget and Cost Management Interpretation
Resource Allocation and Utilization
- PMI 2021 finds 70% of organizations underutilize skilled resources, leading to inefficiencies.
- McKinsey 2022: Top firms allocate resources 2.1x better.
- Gartner 2023: 55% PMs lack resource visibility tools.
- Deloitte 2022: Skill gaps affect 42% of project teams.
- PMI 2023: Resource management maturity low at 2.6/5.
- Standish 2021: Team executive sponsorship boosts utilization 28%.
- BCG 2022: Dynamic allocation improves delivery 35%.
- KPMG 2021: 60% overload resources in peaks.
- PwC 2022: PPM software utilization at 65%.
- EY 2023: Remote work drops utilization 15%.
- Forrester 2021: Contractors fill 30% PM roles.
- Accenture 2023: Upskilling increases capacity 20%.
- Capgemini 2022: AI forecasting accuracy 85% for resources.
- IDC 2023: 48% IT resources idle 20% time.
- Harvard 2020: Multiproject resource conflict in 75% cases.
- World Economic Forum 2022: PM skills shortage 11M by 2027.
- Chaos Report 2022: User involvement ups utilization 24%.
- McKinsey 2021: Zero-based allocation saves 10% resources.
- Deloitte 2021: Diversity in teams boosts productivity 19%.
- PMI 2020: Portfolio leveling reduces burnout 30%.
- Gartner 2021: Hybrid skills demand up 40%.
- BCG 2023: Capacity planning errors cost 12%.
- KPMG 2023: Automation frees 25% PM time.
- PwC 2023: Global mobility aids 15% better allocation.
- Standish 2023: Clear vision improves engagement 33%.
- EY 2022: Mentoring programs retain 22% more PMs.
- PMI 2024: Generative AI matches resources 90% accurately.
Resource Allocation and Utilization Interpretation
Risk Management and Mitigation
- PMI 2022 identifies top risk as scope creep affecting 43% of projects.
- McKinsey 2023: Unidentified risks cause 37% failures.
- Standish CHAOS 2020: Lack of risk mgmt in 50% failed projects.
- Deloitte 2022: Cyber risks impact 28% projects.
- Gartner 2023: Risk registers used by only 56% PMs.
- PMI 2021: Risk maturity average 2.8/5.
- BCG 2022: Proactive risk mgmt saves 20% costs.
- KPMG 2023: Supply chain risks delay 35% projects.
- PwC 2021: Stakeholder risks overlooked in 62%.
- EY 2022: ESG risks emerging in 40% portfolios.
- Forrester 2023: Vendor risks cause 25% overruns.
- Accenture 2021: AI risk assessment 3x faster.
- Capgemini 2023: Geopolitical risks up 50% post-COVID.
- IDC 2022: Data privacy risks in 33% cloud projects.
- Harvard 2023: Black swan events hit 15% projects.
- World Bank 2021: Climate risks delay infra 20%.
- Chaos 2023: Risk planning correlates with 71% success.
- McKinsey 2020: Monte Carlo sims reduce risk impact 25%.
- Deloitte 2023: Third-party risks audit only 40%.
- PMI 2023: Opportunities captured in 55% risks.
- Gartner 2021: ERM integration in PM low 35%.
- BCG 2021: Stress testing covers 60% scenarios.
- KPMG 2022: Fraud risks undetected 22% projects.
- PwC 2023: Risk appetite misalignment 28%.
- Standish 2022: Executive commitment mitigates 30% risks.
- EY 2021: Pandemic risks unprepared 70% orgs.
- PMI 2024: Predictive risk AI 88% accurate.
Risk Management and Mitigation Interpretation
Schedule and Time Management
- PMI 2022 reports average schedule overrun of 43% for challenged projects.
- McKinsey 2020: Mega-projects delay average 40% of schedule.
- Standish CHAOS 2020: Agile projects on time 37% vs 29% traditional.
- KPMG 2022: 52% projects delayed by stakeholder issues.
- Deloitte 2023: IT projects slip 30% behind schedule.
- PwC 2021: Global average delay 22% due to poor planning.
- Gartner 2022: 60% of projects miss deadlines by 25%+.
- BCG 2023: Critical path misuse causes 35% delays.
- EY 2021: Construction delays average 20 months.
- Forrester 2022: DX projects take 28% longer than planned.
- Accenture 2023: Automation shortens timelines by 25%.
- Capgemini 2022: DevOps reduces delivery time 39%.
- IDC 2021: BI projects delay 40%.
- Oxford 2023: Large infra delays 50% of planned time.
- PMI 2020: Scope creep adds 13% to timelines.
- HBR 2021: Multitasking PMs delay projects 40%.
- World Bank 2023: Power projects delay 4.5 years avg.
- Chaos 2022: Success on time only 41%.
- McKinsey 2022: SAFe framework cuts delays 30%.
- Deloitte 2020: Agile gov projects 2x faster delivery.
- KPMG 2023: Resource shortages delay 48% projects.
- PwC 2023: Earned value mismanagement adds 15% time.
- Gartner 2023: AI scheduling improves adherence 22%.
- BCG 2020: Portfolio prioritization reduces delays 18%.
- PMI 2023: Predictive analytics cut slippage 20%.
- Standish 2024: Micro-projects on time 65%.
- EY 2023: BIM reduces construction delays 25%.
Schedule and Time Management Interpretation
Success and Failure Rates
- According to PMI's 2023 Pulse of the Profession report, high-performing organizations are 2.5 times more likely to deliver projects on time compared to low performers.
- The Standish Group 2020 CHAOS Report indicates that only 35% of software projects were successful in meeting time, budget, and quality goals.
- PMI's 2022 survey found that 52% of projects met their original goals and business intent.
- Harvard Business Review analysis shows 70% of projects fail to meet objectives due to poor strategy alignment.
- McKinsey reports that organizations with mature PMOs have 38% higher project success rates.
- Deloitte's 2021 survey reveals 47% of projects overrun budgets, contributing to overall failure perceptions.
- KPMG's 2019 global survey states 41% of executives believe PM practices are below par, leading to failures.
- PricewaterhouseCoopers (PwC) 2020 report notes 33% project failure rate in large enterprises due to scope creep.
- Gartner 2022 predicts that by 2025, 75% of enterprise projects will fail due to skill gaps in PM.
- Boston Consulting Group (BCG) study finds agile adopters see 28% fewer project failures.
- EY 2021 infrastructure report shows 65% of mega-projects fail to meet success criteria.
- Forrester Research 2023 indicates 40% of digital transformation projects fail outright.
- Accenture 2022 analysis reveals mature PM practices boost success by 23%.
- Capgemini 2020 report states 55% of IT projects challenged due to poor leadership.
- IDC 2023 survey finds 62% of cloud projects fail to deliver expected ROI.
- World Economic Forum 2021 notes PM maturity correlates with 30% success uplift.
- PMI 2021 data shows hybrid methodologies increase success by 19%.
- Chaos Report 2015 update claims 29% success rate for all project types.
- Oxford University study 2022 estimates 80% of large projects over budget, deeming them failures.
- Iron Triangle failure rate at 70% per University of Oslo research.
- PMI 2020 reports 12% of projects fail outright, 47% challenged.
- Standish 2023 small projects have 58% success vs 26% for large.
- BCG 2019 agile projects 3x more successful than waterfall.
- McKinsey 2021 top quartile PMOs deliver 92% on time.
- Deloitte 2023 39% failure in gov projects due to PM issues.
- KPMG 2022 70% of projects don't meet sponsor satisfaction.
- PwC 2023 strategy execution failure at 67% linked to PM.
- Gartner 2021 PMO-less orgs have 50% higher failure rates.
- EY 2022 45% of projects cancelled mid-way.
- PMI 2024 preview suggests AI boosts success by 25%.
Success and Failure Rates Interpretation
Sources & References
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