475 A consolidated project data environment that ensures consistent, up-to-date information lays the groundwork for all other phases by making sure that any tool or analysis draws on trustworthy, current data rather than outdated or conflicting sources. Immediate benefits include reduction in time spent reconciling data setting up the stage for the next phases of this strategic framework. 4. PHASE 2: AUTOMATED DASHBOARDS AND STAKEHOLDER VISIBILITY With integrated data in place, Phase 2 focuses on converting data into easily consumable information for decision-makers. The goal is to replace static, manually prepared reports with dynamic dashboards that provide near real-time insights. Key to these dashboards is that they are automated. Data from Phase 1’s central repository feeds these visualizations continuously or on a schedule (e.g., every 24 hours). Modern business intelligence tools (like Microsoft Power BI, Tableau, etc.) can connect directly to databases or cloud data lakes. The goal is to provide stakeholder visibility and timely insights with minimal manual effort. The system should replace the need for manually generating weekly progress reports, reducing human error, and freeing up team members’ time for analysis and action. With auto-updating dashboards, everyone from site supervisors to project directors can see the same information (with appropriate levels of detail) as it happens. Develop a suite of role-based dashboards for various stakeholders in the project: Executive/Management dashboard: High-level KPIs (total quantities, material received at warehouse, drawing status by discipline, cost, schedule adherence, etc.) Project Manager & Discipline Lead dashboards: More detailed performance metrics (e.g., engineering deliverables planned vs actual, bulk status report, material issued from the warehouse, installed quantities by area. Functional dashboards: For example, a steel lifecycle tracking dashboard to monitor distinct stages of the lifecycle from modeling, to engineering to detailing, to fabrication and issuance to site. Allowing to monitor progress on each step, identify and address bottlenecks more efficiently (see image below) Team-specific views: detailed view targeted to specific technical users such as material controllers, shop engineers, warehousing and others. Figure 3 – From Data Lake to Integrated Dashboards The chart above shows a typical EPC dashboard that integrates 6 different databases tracking the steel lifecycle; from engineering to construction; through 6 different databases. Providing a centralized place
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