Leveraging Data Intelligence to Predict Outcomes
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For generations, we have been trained to put data into systems to feed rearward-looking reports that show what happened. By adding EcoSys into the mix, we have added standardized processes and a centralized platform that automates the production of reports, dashboards and many types of workflows, allowing us to produce actionable data. We literally have a database of historical and current project, portfolio and contract data that has so much more to tell us!
This session will dive into how FTI's Data Intelligence Group is organizing data by integrating EcoSys and other structured and unstructured data while applying statistical models to develop new insights into the existing data. This arms decision makers with quantitative data, predictive models and easy visualizations and reports to focus on key issues that truly impact outcomes. Come see how EcoSys and Data Intelligence provides new ways to drive project performance if you have ever asked questions like:
- Does the duration of a project affect the likelihood of cost overrun?
- How likely is a project to hit its Class III Estimate target?
- How do RFIs impact productivity?
- How likely is each project in a portfolio to hit its forecasted spend (or revenue) for next month?
- What is the likely impact to margin for a given Change Order?
- What PM / CM combination produces the best project outcomes?
Come see how EcoSys and Data Intelligence can provide new ways to drive project performance!
Asset Lifecycle Management
Senior VP, Enterprise Project Performance
Part of the Hexagon PPM portfolio of products, EcoSys is the Enterprise Project Performance software platform that helps project-driven organizations align and manage organizational strategy and project/contract execution. By increasing visibility into performance and predictability across the full life cycle of projects and portfolios, EcoSys helps you identify what drives project and organizational success, and take proactive measures to maximize returns and margins.