Dashboard
Engineering portfolio dashboard
Schedule, cost, risk, resources, and earned value.
- Connected to project ERP, time, PLM/document control, resource planning, and CRM
- Thresholds and owners
- Drill to operational detail
Industry analytics
Earned value and design workload from project ERP + time + PLM
Engineering firms lose days when project ERP cost, timesheets, and PLM deliverable status disagree on WBS/project grain. Power BI joins those sources so EV% and utilization use one structure before the portfolio review.
NDA-readyFixed-scope first releaseBusiness + IT handover
- Operating since 2012
- Microsoft Power BI specialists
- NDA-ready data handling
- Fixed-scope first releases
- Independent — not affiliated with Microsoft
Reporting challenges
Typical friction when CRM, ERP, and operational tools are reported separately.
- 01Earned value in project ERP does not match hours and cost from time systems without manual bridges.
- 02Change-order commercial impact is tracked separately from schedule risk.
- 03Utilization and bench reports are rebuilt from resource-planning exports.
- 04Rework and design quality signals in PLM never appear on portfolio dashboards.
- 05CRM pipeline of engineering work is disconnected from delivery capacity.
How Power BI for Engineering solves it
What changes when those systems feed a governed Power BI model.
- Build Power BI for engineering that joins project ERP, time, PLM, resource planning, and CRM.
- Deliver portfolio dashboards for schedule, cost, earned value, utilization, and risk.
- Align PMs and finance on change-order and margin definitions.
- Surface rework and capacity exceptions early for delivery leads.
- Replace multi-file portfolio packs with a refreshed Power BI model.
Why this work matters commercially
03
Commercial considerations
Engineering organizations already manage the business in project ERP, time, PLM/document control, resource planning, and CRM. The reporting problem is usually not “we need another chart”—it is that CRM, ERP, and operational extracts disagree on timing, filters, and owners before every meeting.
Project controls and design quality live in different tools—earned value and rework rarely share a weekly review. Power BI for Engineering only works when those systems of record feed one governed semantic model with documented KPI definitions.
Power BI Analytics scopes the first release around the engineering decisions that currently wait on manual packs—then connects the right source systems, validates totals, and lands the report in a real operating cadence.
Who this is for
Built for leaders who need dependable numbers in real operating conversations—not another unused dashboard.
01Engineering executives who need one operating view across CRM/ERP and plant or field systems
02Finance partners tired of reconciling conflicting system extracts
03Operations and functional managers who need earlier exception visibility
04IT and analytics teams responsible for maintainable Power BI on Microsoft
How value is measured
We establish a baseline before delivery so ROI is discussed in operating terms, not slideware.
01
Time saved
Measure hours currently spent assembling engineering reporting packs, reconciling totals, and answering “which number is correct?”
02
Decision speed
Track how many days earlier leaders can see exceptions, variances, or forecast risk after the release.
03
Control and trust
Count disputed metrics, failed refreshes, and unmanaged workbooks replaced by governed models.
04
Adoption
Confirm the intended audience actually uses the report in the meeting or process it was designed for.
Where engineering data already lives
Project controls and design quality live in different tools—earned value and rework rarely share a weekly review. Power BI consulting connects these systems of record into one governed reporting model.
01
Project / ERP (Deltek, SAP, Dynamics)
budget, schedule, earned value
02
Time & expense
utilization and cost
03
Document / PLM
design versions, quality, rework
04
Resource planning
capacity and staffing
05
CRM
pipeline of engineering work
KPIs that support action
01
Utilization
Productive time relative to capacity.
02
Earned value
Budgeted value of completed work from project ERP.
03
Change order value
Commercial impact of approved and pending changes.
04
Rework rate
Effort spent correcting completed work from PLM/time.
Recommended dashboards
Recommended engineering dashboards
Power BI for Engineering patterns we tailor to your systems, owners, and review cadence. Click any preview to expand.
Dashboard
Design operations dashboard
Workload, utilization, quality, and project health.
- Connected to project ERP, time, PLM/document control, resource planning, and CRM
- Thresholds and owners
- Drill to operational detail
Operating cadence
Reporting only creates value when it lands in a real review rhythm.
Daily or shift exceptions from operational systems into Power BI
Weekly engineering performance review with owned actions
Monthly executive scorecard with variance commentary
Quarterly model improvements tied to adoption and ROI
Example reports
- 01Engineering executive scorecard from governed Power BI measures
- 02Engineering operations exception pack by site, team, or account
- 03Variance and root-cause drill-through tied to source systems
- 04Trend, forecast, and owner-threshold report for weekly reviews
What improves
- Build Power BI for engineering that joins project ERP, time, PLM, resource planning, and CRM.
- Deliver portfolio dashboards for schedule, cost, earned value, utilization, and risk.
- Align PMs and finance on change-order and margin definitions.
- Surface rework and capacity exceptions early for delivery leads.
- Replace multi-file portfolio packs with a refreshed Power BI model.
Frequently asked questions
05
Buyer questions answered
Document which system owns percent-complete for EV. Often PLM is technical progress and ERP is contractual. Show both; do not silently overwrite. Facts at WBS element grain with ProjectId conformed.
Timesheet hours Import from the PSA/ERP; budgets from project ERP. Utilization and project margin share StaffId/ProjectId bridges. Full history reloads of daily time are staggered or incremental on WeekEnding.
Portfolio packs stay Import after nightly PLM extract. Design-floor screens may Dual if PLM views are indexed. Expanding nested BOM structures in M after breaking fold is a common gateway timeout.
PMs filter ProjectId; discipline leads filter DisciplineCode across projects. View as both. Bidirectional date filters that leak other projects’ hours are rejected in review.
Standard cluster, service account, vaulted recovery key, Test connection after password rotation. Schedule away from ERP month-end job locks to avoid Status = Failed with source timeout messages.
Related services
Power BI Consulting
Connect the systems you already use and leave with a clear place to report—before another orphan dashboard appears.
Power BI Dashboard Development
Build 1–2 live dashboard pages that pull from multiple sources—not a screenshot of Excel pasted into Power BI.
Reporting Automation
Retire the Monday email of pasted workbooks: scheduled refresh and one pack finance can open without stitching tabs.
Data Warehouse Design
Data Warehouse Design starts by killing contradictory extracts—then publishes measures that data leaders, IT managers, and executives can defend from multiple operational systems and historical data.
Related industries
Construction
Job cost, WIP, and schedule risk from Procore and ERP—one project grain: connect project controls, job-cost accounting, estimating, payroll, and procurement so leaders manage project margin, schedule, risk, and resource use.
Professional Services
Utilization, WIP, and delivery margin from PSA + CRM—one staff-week grain: connect PSA, CRM, timekeeping, accounting ERP, and resource planning so leaders manage utilization, delivery margin, pipeline, and client health.
Manufacturing
Plant OEE and quality reporting from MES + ERP—without the night-shift Excel merge: connect ERP, MES, quality, maintenance, and inventory systems so leaders manage OEE, quality, cost, and on-time delivery.
Book a call about engineering reporting
Talk through priorities, data sources, and a practical first Power BI release.