Institute Project Management Technology
Every project comes with associated risks. Oracle’s Primavera Risk Analysis provides the tools for planning for risks, enabling companies to model risks and analyse the cost and schedule impacts of mitigating them, removing much of the uncertainty of project and portfolio management.
Analyse, mitigate and
manage risk
Integrating with both project schedules and cost estimates to model risk and uncertainties gives you a full lifecycle cost and schedule risk analytics solution for Primavera project management applications and Microsoft Project. It provides simple techniques for assessing contingency and risk response as well as a comprehensive method of reporting project confidence levels through risk registers.
Range of reports to help you
identify risk factors
Using Monte Carlo simulation to analyse risk, Primavera Risk Analysis provides a variety of different reports including: risk histograms, tornados and scatter plots that help you identify risk drivers prior to publishing risk adjusted schedules (if required) back into the schedule.
Objective overview enables
accurate assessment
Providing an objective overview of required contingencies and analysis of proposed risk response plans helps support decision making over project costs and schedules. Combining required contingencies with an analysis of proposed risk response plans forms the basis of a risk-adjusted schedule.
Prepare, model and run your risk analysis with this Guide. There are several different steps – schedule validation, development of the risk model, risk analysis and results review that link to the Primavera risk analysis feature.
Evaluate schedule maturity and risk readiness by checking common scheduling problems that can impact schedules. As well as providing a list of activities identified, this check explains the rationale behind each check and the potential impacts on risk analysis.
Using a template approach, assign uncertainty risk distributions to tasks based on work breakdown structure (WBS). This advanced way of assessing quick risk makes it easy to model task uncertainty.
Integrate pre-developed risk registers as well as define new ones through the risk register feature. You can produce both qualitative and quantitative models of positive and negative risk events and associated response plans.
Create new risk registers, define risk scoring criteria, enter qualitative risk assessments and map risks to scheduled activities.
Using Monte Carlo based cost and schedule analytics will help you develop the following types of risk models: estimate uncertainty, task existence, probabilistic branching, fixed cost uncertainty, variable-cost uncertainty, resource uncertainty, conditional branching, and weather modeling. Risk analyses can be made at both project and portfolio levels.
View risk assessments in a variety of formats: Distribution Graph, Tornado Graph, Scatter Plot, Distribution Analyzer, Probabilistic Cash Flow, and Summary Risk Report.
Success Stories
WhatsApp us