Estimates are a necessary part of project management that simply cannot be avoided. Accurate and timely estimates can mean the difference between project success and failure. But beyond that, why should you invest in Estimating software?
We are pleased to announce a new PRISM case study with Adani Mining who focuses on coal mining projects in Australia, Indonesia, and India. Adani Mining is a globally admired leader among integrated infrastructure businesses with a deep commitment to nation building. But they were struggling to get crucial cost reports from their ERP system and were wasting time trying to manipulate reports in excel spreadsheets.
As many of you know, PRISM is a forecasting tool that helps you pinpoint potential problems with real-time forecasting and variance analysis. But is it possible to create a detailed forecast with quantities and unit rates that can then be linked to a control account?
The answer is yes and it can be done using the Budget Details.
We are pleased to announce a new PRISM case study with Laing O'Rourke, Australia's largest privately-owned construction company and an $8 billion global engineering enterprise. This case study explores the power of integration of field progress, project schedule, labor cost, and timesheet resources information. Learn about some of the challenges that they faced before using an integrated field management and cost management solution.
With ever increasing demands from your customer, executives, and other stakeholders, providing an accurate forecast is more important than ever. Whether the project baseline started from an excel project management template or is a proper project s curve, these indicators serve to better predict the direction of your project and help you take corrective action. But what cost management and scheduling techniques should we use on each project so that our project forecast is believable and realistic?
Total Visibility. Total Control. Total Financial Picture.
At many organizations, project cost management information is spread across many different project engineers using sophisticated spreadsheets resulting in inconsistency across projects and often erroneous data. The risk - inaccurate forecasting and increased costs. Can the projects you manage afford this?