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Peak LAN Project

Peak LAN Project. Kirk Baringer Meagan Beeman Allison Benton Yolanda Boyd Thomas Guess. Project Information. Peak Systems, located in Meridian, Louisiana Information Systems Consultants Project: City of Meridian’s social welfare agency Goal: to build complete Local Area Network (LAN)

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Peak LAN Project

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  1. Peak LAN Project Kirk Baringer Meagan Beeman Allison Benton Yolanda Boyd Thomas Guess

  2. Project Information • Peak Systems, located in Meridian, Louisiana • Information Systems Consultants • Project: City of Meridian’s social welfare agency • Goal: to build complete Local Area Network (LAN) • Budget $90,000 to be completed in 26 days

  3. Project Team Risk • Team Size • Three people • Team Composition • Project Manager and two interns • Is this enough manpower?

  4. Project Team Risk • Team Size • Three people • Team Composition • Project Manager and two interns • Is this enough manpower?

  5. Project Team Risk • Team Size • Three people • Team Composition • Project Manager and two interns • Is this enough manpower?

  6. Budget Risk • Established budget is $90,000 • Do not cut corners • Cheaper Hardware • Hardware and Software compatibility • Hardware reliability • Is this a realistic budget?

  7. Timeline Risk • Project complete in one month • Allot of hardware • Hardware • Locating and purchasing • Delivery • Testing • Multiple suppliers • Is this enough time?

  8. External Access Risk • Security • Wired always better • Privacy Act information • Wireless less secure • Physical vs. internet based database • Database corruption

  9. User Account Risk • List must be accurate • Names, roles, and permissions • Log on problems • Access problems • Earlier enough in project

  10. Risk Assessment • Mapping out risks can be beneficial for a project. • Helps prepare a team for what might occur. • Scenario analysis is the most commonly used technique for analyzing risks.

  11. Risk Assessment Matrix

  12. Project Team Risk Risk Management Matrix

  13. Team Size • Add personnel if needed • Sub-contract if within budget • Use the workload compared to the timeline as the trigger • Responsibility lies with both, Peak and the City of Meridian

  14. Team Budget • Increase the budget if possible or downsize the scope • Negotiate the budget with the city of Meridian • When it becomes obvious the budget is too small - trigger • Responsibility lies with both, Peak and the City of Meridian

  15. Availability of SW & HW • Send our multiple bids to suppliers of needed SW & HW • Research whether extras can be ordered and held/returned • If there are shortages this is an immediate trigger • The Peak project manager is solely responsible for this

  16. Secure external/internal access • Frequently test to ensure the system is working and secure • Establish alternate ways for remote employees to access • Earliest point system is tested and fails - trigger • Responsibility lies with Peak project manager

  17. Priorities: Authorizations/user log on • Stand-by system while transitioning to new LAN • Work weekends and during non-peak hours to test • Establish secondary server for temporary back-up • Test LAN early and often; if it fails - trigger • Responsibility lies with Peak project manager

  18. Performing Monte Carlo Simulation • A Monte Carlo simulation helps predict risk by using data to predict trends • Performing a risk analysis will assist both PEAK and the City of Meridian in determining if the LAN project can be completed on time and within budget • Having statistical data will allow the project manager to make sound decisions

  19. Benefits of Monte Carlo Simulation • Allows for testing of theories before launching the LAN project • Provides statistical validity to the City by measuring probability that the project will meet its stated goals • Reveals trends that can be modified to decrease risk • Assists the project manager in communicating ways that the project can be restructured for enhanced quality, efficiency and cost

  20. Steps to Perform • Define the problem to be solved • Can project be completed on time and within budget? • Define the drivers/variables of the problem • What might some of the delays and hidden costs be?

  21. Steps Cont. • Define the uncertainty for the variables • Assign best, most likely and worst case estimates to the identified variables • Analyze the model using simulation • Create a model that will compute the assigned formulas to create estimates

  22. End

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