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Reporting

We leverage your existing tools to create collaborative reporting solutions that integrate project and program data, including SHE predictive analyses. This approach brings the design model into the wider project team while integrating risk, cost, and schedule data. Powered by our AI solutions, we utilise predictive analytics to save over 20% on resources and achieve better project outcomes.

About

Integrating tools for smarter reporting and 20% resource saving

Proicere Digital uses Power BI in 3D to create interactive visualizations of project data. This helps teams understand performance metrics and trends by presenting complex information in a clear, visual format.

Our Full Digital Automated PMO (Project Management Office) streamlines reporting and governance processes by automating data collection and analysis. This capability provides real-time visibility into project status, resource allocation, and performance metrics, allowing for more informed decision-making and improved project outcomes. By reducing manual intervention, we enhance efficiency and accuracy in reporting.

Our Risk Automation capability enables continuous monitoring and reporting of project risks. By integrating advanced algorithms and data analysis, we identify potential threats and their impacts on project timelines and costs. This proactive approach allows teams to address risks early, enhancing project resilience and success.

Proicere Digital’s Cost Predictability reporting utilizes advanced analytics to forecast project costs accurately. By analysing historical spending patterns and current project data, we provide insights that help stakeholders anticipate budgetary needs and avoid cost overruns. This capability supports more effective financial planning and resource management.
 

Design Model Reporting provides insights into the progress of design work. By integrating design data with reporting tools, teams can track compliance with specifications and identify any issues early in the process.

We focus on Data Management and Automation to ensure project data is accurately captured and analyzed. This streamlines workflows and reduces errors, allowing teams to focus on decision-making rather than administrative tasks.

Insights

About Reporting

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