At this juncture, we’ll be working on developing visual dashboards and reporting, configuring automated delivery, and setting up their regular use. Here’s what’s involved:

  • Reviewing the customer’s existing project management reports;
  • Identifying report and information requirements for individual projects as well as the overall project portfolio;
  • Developing and implementing a process for collecting and inputting initial report data;
  • Configuring report functions and data transfer protocols within the reporting and BI systems of Project Online (or another chosen Project Management Information System – PMIS);
  • Customizing Excel-formatted report downloads to replace the customer’s current reports;
  • Configuring automated Power BI formatted reports, thereby expanding the capabilities and visibility of the customer’s reports;
  • Educating the customer’s team to independently create and adjust reports in Excel and Power BI formats.

The customer’s team members who manage the system and business aspects of the existing Project Online, need to be on hand during the process to become familiar with the system’s features and the business settings of the software and hardware complex. This will align with the requirements for implementing project management reporting.

Project team members will input raw data into their respective projects to generate reports. They will also receive training on customizing reports within the PMIS.

Dashboards and Reporting

An example of a form for reporting on the status of project implementation

AI Integration within Dashboards and Reporting:

  • Analytics for Project Trends: AI-powered dashboards can provide predictive insights, such as identifying potential delays, resource constraints, or risks before they become critical.
  • Data Analysis: AI tools can analyze large datasets in real-time, identifying trends, anomalies, or patterns that might be missed by traditional reporting methods.
  • Natural Language Processing (NLP) for Dynamic Queries: AI-driven systems can allow users to query dashboards using natural language, making reporting more accessible and intuitive for all team members.
  • AI-Enhanced Visualizations: Intelligent algorithms can suggest optimal visualization formats (e.g., charts, graphs) based on the type of data and user needs, ensuring clarity and relevance.
  • Proactive Notifications and Alerts: AI can monitor project metrics and automatically send alerts to stakeholders when predefined thresholds are breached, such as budget overruns or schedule delays.
  • Sentiment Analysis for Stakeholder Feedback: AI can analyze stakeholder comments and feedback to gauge project health and identify underlying concerns.

Framework

The dashboards and reporting will be built on the widely accepted Earned Value Management (EVM) approach, recognized for its simplicity, clarity, and accuracy in determining both the current and projected status of projects. AI will further enhance this framework by enabling real-time updates and predictive capabilities. This includes:

  • Visual charts showcasing the progression of planned versus actual work from 0% to 100%, anchored to timelines; enhanced by AI for automated updates and progress forecasts;
  • Pessimistic and optimistic project completion forecasts refined with machine learning for higher accuracy;
  • The dynamics of falling behind or getting ahead, monitored and adjusted using AI-driven trend analysis;
  • Project Key Performance Indicators (KPIs) with AI-driven predictive insights and recommendations for improvement.

This entire process will be guided by a robust Project Governance Framework, ensuring clear lines of responsibility, transparent decision-making, and effective monitoring of project progress. This framework plays a crucial role in promoting consistency across projects, managing risks, and ensuring the alignment of projects with strategic objectives. The PMO, which we are helping to establish, is an integral part of this framework and will provide essential support in managing and monitoring the progress of projects.

Anticipated Outcomes:

  • Customized report templates for download in Excel format. These templates will be accessible to PMIS users in the Reports Folder. Based on their access rights, users can independently download reports for their projects or for the entire project portfolio using these templates.
  • Customized report templates generated automatically in Power BI format. These templates will also be available in the Reports Folder (as Power BI Desktop files). Users can independently review project reports using the Power BI Desktop software or via a browser link, based on their access rights.
  • Monitoring and control functions for project outcomes, enhanced with AI to provide real-time insights and recommendations.
  • Modifications to documents, regulations, and working processes of the PMS to incorporate AI-powered algorithms for collecting and analyzing data, ensuring consistency and accuracy in reporting.
  • Training of the customer’s employees in the use and customization of Excel, Power BI, and AI-enhanced reporting tools.
  • A Project Management Office (PMO) established to oversee and track project progress, leveraging AI-driven insights for real-time status updates and alignment across project programs.
This stage will span a period of 25 business days.

Responsibilities:

Contractor’s: The contractor’s responsibilities include:

  • Provide a business analyst and a report programmer with expertise in AI-enhanced reporting and dashboards.
  • Supply the tools and expertise necessary for the development and programming of the customer’s reports, including integration of AI-powered analytics tools.

Customer’s: On the customer’s end, they should:

  • Appoint the head of the Project Management Office.
  • Provide project reporting requirements.
  • Approve and provide feedback on the created reporting templates and forms.
  • Test the newly created reports and explore AI-generated insights for further optimization.