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The Importance of Analytics in Projects and
Project Management
Issam Chalouhi
SAS Territory Manager-Emerging Markets
23-feb-17
Session Outline
• What’s Analytics
• Use Cases and Applications
• Challenges
• Benefits
• Sample Vendor in Analytics
Business Analytics in Action
What happened?
Standard
reports
How many, how often, where?
Ad hoc
reports
Where exactly is the problem?
Query
drill down
Why is this happening?
Statistical
Analysis
What if these trends continue?
Forecast
What will happen next? Predict
What is the best that can happen?
What actions are needed?
Alerts
Raw
data
Clean
data
Optimise
Competitive
Advantage
Degree of Intelligence
ReportingAnalytics
Analytics
• Will it happen again
• When will it happen
• Is anybody else involved
• If A happens will B
• Has it happened to anybody
else
• How often does it happen
• What should we do
• Model driven
• Patterns
• Correlations
• Trends
• Linkages
• What-if
• Scenarios
• Benchmarking
• Forecasting
• Outlier detection
• Unstructured data
support
• Machine Learning
• Optimisation
USE Cases
• North Carolina department of transport ( cost
optimization and optimal corridor)
• IOM in Nepale ( Saving lives)
• Procurement Fraud detection
• Resources Optimization
• Route cause analysis for delays, deficiencies , cost
anomalies
Analytics improves transportation
projects for citizens and environment
NC DOT finds a better way to build roads, avoid polluting natural water sources
• How do you build a road faster, at less cost and with minimal disruption
to the environment? In North Carolina you do it by first building
computer models using advanced data sources that help narrow the
choices of possible road corridors without resorting to costly land
surveys. The process can save as much as $500,000 per road project
and shave up to 20 percent off the time it takes to select and plan for a
road.
• To avoid polluting natural water sources, transportation planners need
to carefully assess the impacts a transportation project will have on the
surrounding environment and come up with ways to avoid, minimize and
mitigate the impacts. Road builders typically rely on geographical
surveys and verify that information by sending surveyors and water
quality experts into the field to document all the streams and wetlands.
Source :https://www.sas.com/en_us/customers/nc-department-of-transportation.html
IOM In Nepale
45,000 families occupied the more than 200 tent camps that sprang up.
• Every single one of those tents represents a family – and
represents a different story. Understanding what’s possible is how
you end up closing camps, getting people back home, and helping
them to move on with their lives.”
Brian Kelly,
IOM Regional Emergency and Post-Crisis Advisor
Video : https://www.sas.com/en_us/customers/iom.html
The Importance of Analytics in Projects and Project Management by Issam Chalouhi
Challenges
• Data
• Skills
• Change Management
Benefits
• Capturing project detail and capturing data points
• Strategic value comes from illustrating the
relationship between all of an organization's projects,
their effect on resources and ultimately profitability.
The Importance of Analytics in Projects and Project Management by Issam Chalouhi
Thank You!

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The Importance of Analytics in Projects and Project Management by Issam Chalouhi

  • 1. The Importance of Analytics in Projects and Project Management Issam Chalouhi SAS Territory Manager-Emerging Markets 23-feb-17
  • 2. Session Outline • What’s Analytics • Use Cases and Applications • Challenges • Benefits • Sample Vendor in Analytics
  • 3. Business Analytics in Action What happened? Standard reports How many, how often, where? Ad hoc reports Where exactly is the problem? Query drill down Why is this happening? Statistical Analysis What if these trends continue? Forecast What will happen next? Predict What is the best that can happen? What actions are needed? Alerts Raw data Clean data Optimise Competitive Advantage Degree of Intelligence ReportingAnalytics
  • 4. Analytics • Will it happen again • When will it happen • Is anybody else involved • If A happens will B • Has it happened to anybody else • How often does it happen • What should we do • Model driven • Patterns • Correlations • Trends • Linkages • What-if • Scenarios • Benchmarking • Forecasting • Outlier detection • Unstructured data support • Machine Learning • Optimisation
  • 5. USE Cases • North Carolina department of transport ( cost optimization and optimal corridor) • IOM in Nepale ( Saving lives) • Procurement Fraud detection • Resources Optimization • Route cause analysis for delays, deficiencies , cost anomalies
  • 6. Analytics improves transportation projects for citizens and environment NC DOT finds a better way to build roads, avoid polluting natural water sources • How do you build a road faster, at less cost and with minimal disruption to the environment? In North Carolina you do it by first building computer models using advanced data sources that help narrow the choices of possible road corridors without resorting to costly land surveys. The process can save as much as $500,000 per road project and shave up to 20 percent off the time it takes to select and plan for a road. • To avoid polluting natural water sources, transportation planners need to carefully assess the impacts a transportation project will have on the surrounding environment and come up with ways to avoid, minimize and mitigate the impacts. Road builders typically rely on geographical surveys and verify that information by sending surveyors and water quality experts into the field to document all the streams and wetlands. Source :https://www.sas.com/en_us/customers/nc-department-of-transportation.html
  • 7. IOM In Nepale 45,000 families occupied the more than 200 tent camps that sprang up. • Every single one of those tents represents a family – and represents a different story. Understanding what’s possible is how you end up closing camps, getting people back home, and helping them to move on with their lives.” Brian Kelly, IOM Regional Emergency and Post-Crisis Advisor Video : https://www.sas.com/en_us/customers/iom.html
  • 10. Benefits • Capturing project detail and capturing data points • Strategic value comes from illustrating the relationship between all of an organization's projects, their effect on resources and ultimately profitability.