A webinar featuring panelists from DCMA, LA Metro, GAO and Austal and how they are currently using Acumen Fuse® to ensure compliance with government and industry standards.
2. // Using your control panel
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3. // Overview & Objectives
◦ High Fuse adoption rate since product inception
◦ Proven value in:
◦ Analysis time savings
◦ Best practices and standards implementation
◦ General insight & best practice maturity improvement
◦ Webinar highlights four specific use cases
◦ Firsthand customer perspective!
◦ Four user stories
◦ Fuse 3.1 briefing
◦ Q&A (submit Q’s through Questions box)
4. // Acumen Realistic Scheduling
Proven Project Analytics // S1 The Base
// S2 Critiqued
◦ Project management software // S3 Risk-Adjusted
company // S4 Optimized
◦ Insight into challenges & use of // S5 Team-Aligned
analytics to overcome them
◦ Core Concepts: Product Offerings
1. Project success requires a sound plan Acumen Fuse®
2. Forecast accuracy requires risk Risk Workshops
consideration
Software Training
6. Earned Value Management Specialist
Anthony Presley, DCMA
// Electronics Engineer
Daniel Goldsmith, DCMA
7. // Government Review
DCMA
◦ Defense Contract Management Agency
◦ 5 – 6 months of schedules to analyze at
all times
◦ Before, used Excel macros and built-in
tools
8. // Beyond the 14-Point Assessment
DCMA
◦ Custom metric library
◦ 100+ hand-picked metrics to determine health
and quality of the schedule
◦ Use tripwires to identify areas of concern
◦ Results are documented and sent to
supplier
◦ Each area or metric of concern
9. // Metric Customization
DCMA
◦ Customized both schedule quality and
cost metrics
◦ For example, “Overstated Performance
to Status Date”
◦ Sum(if(((ProjectTimeNow-ActualStart)-ActualDuration)<0,1,0))
◦ Moving into cost and schedule
integration
11. // Infrastructure Construction
LA Metro
◦ Required review of contractor baseline
and monthly updates
◦ Projects > 1M submitted in P6
◦ Projects >10M are cost loaded
◦ Construction claims can be common
12. // Forensics
LA Metro
◦ Pre-Fuse
◦ Built-in tools
◦ 1-to-1 comparison
◦ Claims consultants
◦ Use for monthly reviews on schedules
◦ In claims of delay, can determine causes
of delay
13. // Future Applications
LA Metro
◦ Rolling out between now and July 1
◦ Automatic generation of contractor review
letters
◦ Standardized schedule quality metrics
◦ Calendar Forensics
15. // Government Contractor
Austal
◦ Two programs, 10 vessels per program
in progress
◦ Implemented Earned Value for the past
three years
◦ Use several tools to schedule, rate and
report
16. // In-depth Analysis
Austal
◦ Adopted Fuse to streamline schedule
review
◦ Replaced using complex filters in
scheduling tool to assess schedule
health
◦ standardized slice-and-dice
◦ Quick comparisons to baseline
17. // Complete Customization
Austal
◦ In the standard EV library, labor hours
were only calculated based on cost
◦ Based on feature request, can now be
calculated in labor hours
◦ Moving forward: using dashboard views
for reporting to management
19. // Congressional Investigation
GAO
◦ GAO is a non-partisan agency that works
for Congress
◦ GAO investigates how the federal
government spends taxpayer dollars
◦ Internal consultants on cost, schedule
and EVM
20. // Schedule Assessment
GAO
◦ Established 9 Scheduling Best Practices
◦ Created custom metric library with Acumen
◦ Adding an additional guideline focused on
baselines
◦ 5 members on the team assessing
approximately 30 programs at any given
time
◦ Currently using Excel macros
◦ Copy-paste accuracy concerns
21. // Fuse Benefits
GAO
◦ Non-Fuse users still benefitting
◦ Use Fuse as a fast fact check for assessments
◦ Good validation and controls
◦ Fuse analysis shows every detail –
establishing complete transparency
◦ Opens up the conversation, opportunities
for “Get Well” planning
22. // Acumen Fuse® 3.1 Briefing
◦ Schedule Quality Index: the true standard of
standards!
◦ Acumen Cloud™: benchmarking
◦ Schedule Cleanser™: intelligent schedule
improvement
◦ Calendar forensics: interrogation of calendar
definition
◦ Enhanced P6 integration: XML & inter-project data