Dashboard
Services delivery dashboard
Utilization, margin, delivery risk, and resourcing from PSA + time.
- Connected to PSA, CRM, timekeeping, accounting ERP, and resource planning
- Thresholds and owners
- Drill to operational detail
Industry analytics
Professional services firms stall when PSA time, CRM pipeline, and finance WIP/AR disagree on project and staff week. We model utilization and WIP in Power BI so partners stop reconciling three exports before the Monday resourcing call.
Typical friction when CRM, ERP, and operational tools are reported separately.
What changes when those systems feed a governed Power BI model.
03
Commercial considerations
Professional Services organizations already manage the business in PSA, CRM, timekeeping, accounting ERP, and resource planning. 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.
Partners manage clients in CRM while delivery lives in PSA—utilization and pipeline never meet in one weekly pack. Power BI for Professional Services 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 professional services decisions that currently wait on manual packs—then connects the right source systems, validates totals, and lands the report in a real operating cadence.
Built for leaders who need dependable numbers in real operating conversations—not another unused dashboard.
We establish a baseline before delivery so ROI is discussed in operating terms, not slideware.
01
Measure hours currently spent assembling professional services reporting packs, reconciling totals, and answering “which number is correct?”
02
Track how many days earlier leaders can see exceptions, variances, or forecast risk after the release.
03
Count disputed metrics, failed refreshes, and unmanaged workbooks replaced by governed models.
04
Confirm the intended audience actually uses the report in the meeting or process it was designed for.
Partners manage clients in CRM while delivery lives in PSA—utilization and pipeline never meet in one weekly pack. Power BI consulting connects these systems of record into one governed reporting model.
projects, staffing, delivery
pipeline, accounts, renewals
billable vs non-billable hours
revenue, WIP, AR, margin
capacity and bench
Billable hours as a share of capacity from time + planning.
Revenue less direct delivery cost from PSA + ERP.
Contracted work not yet recognised.
Average collection time for receivables.
Recommended dashboards
Power BI for Professional Services patterns we tailor to your systems, owners, and review cadence. Click any preview to expand.
Dashboard
Utilization, margin, delivery risk, and resourcing from PSA + time.
Dashboard
Account health, pipeline, backlog, and collections from CRM + ERP.
Reporting only creates value when it lands in a real review rhythm.
05
Buyer questions answered
Connect the systems you already use and leave with a clear place to report—before another orphan dashboard appears.
Build 1–2 live dashboard pages that pull from multiple sources—not a screenshot of Excel pasted into Power BI.
Retire the Monday email of pasted workbooks: scheduled refresh and one pack finance can open without stitching tabs.
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.
Realization vs collection and matter margin from PMS + finance: connect practice management, time/billing, CRM, and finance systems so leaders manage matter profitability, utilization, collections, and client service.
Earned value and design workload from project ERP + time + PLM: connect project ERP, time, PLM/document control, resource planning, and CRM so leaders manage project delivery, utilization, risk, and design quality.
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.
Talk through priorities, data sources, and a practical first Power BI release.