All the schedule you need.
Think through your project in a more complete manner than ever before.
Your Microsoft Project schedule is transformed into a series of Top-Down plans to check they are correct and comprehensive. While your cost estimates are benchmarked to assess their accuracy and risk. Finally, your schedule is benchmarked to pinpoint areas of concern and to validate project logic. This approach maximises your subsequent investments by ensuring your plan and schedule is of a high quality.
Effective project planning, scheduling and control is difficult to achieve if the top-down plans are poorly defined. A poorly defined work breakdown causes the team to lose sight of what the project is really about, while a poorly defined network diagram causes alternative ways of carrying out the project to be overlooked.
Employing good project management principles, these plans ensure you manage through a structured breakdown, that you focus on results, that workstream results are balanced and each deliverable has single point responsibility.
Effective project planning, scheduling and control is difficult to achieve if project estimates are inaccurate. Over-estimation causes under-utilised resources, cost blow-outs and delays to future projects. While under-estimation causes tight deadlines, resource contention and impacts to project quality.
Employing Industry Standards, a repository of more than 8,200 software project's and parametric modelling we forecast your projects size, effort and duration, which is then benchmarked to assess the accuracy of your estimates.
Effective project planning, scheduling and control is difficult to achieve if project schedules are inaccurate and of poor quality. Poorly constructed project schedules inhibit the critical path method and a Schedule Risk Analysis, and compromise activity start / finish calculations and time-phased resourcing.
Employing Industry Standards and a library of more than 300 metrics, we slice & dice your project data to target problematic activities, areas of concern and project logic, which is then benchmarked to assess probability of delivery success.