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Representative solution

Operational Performance Dashboard

A fictional dashboard project showing how FlowNorth can turn inconsistent spreadsheet or system-export reporting into one structured Power BI model with reliable KPIs, trend analysis and exception monitoring.

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Scenario

The fictional client situation

Business context

Granite Facilities Group prepares monthly operational reporting for several business units. Data comes from spreadsheets, CSV exports and a small line-of-business system. Each team interprets categories slightly differently, which creates disputes over totals and delays sign-off.

Typical problems

  • Manual cut-and-paste reporting every month.
  • Repeated cleaning of the same source files.
  • Location and team names are not standardised.
  • KPIs are recalculated in different ways by different users.
  • Little visibility of records driving underperformance.
Before & after

What changes

Before

Monthly reporting exercise

  • Analysts rebuild the same workbook logic every cycle.
  • Management sees static reports rather than live filters.
  • Questions about a KPI require more manual digging.
  • Trend analysis depends on separate archive files.
After

Structured reporting model

  • Power Query prepares and standardises the source data once.
  • A semantic model defines dimensions, facts and measures clearly.
  • Power BI displays summary KPIs, trends and record-level detail.
  • Exception pages show what needs attention rather than only what happened.
Delivery approach

Example build stages

01Source review

Inspect files, column definitions, reporting cycles and pain points in existing manual reporting.

02Power Query layer

Clean and combine sources, standardise labels and create reference or mapping tables.

03KPI model

Build measures in DAX so the organisation calculates totals, rates and targets consistently.

04Report design

Create pages for executive overview, trends, team performance and detailed exception lists.

Synthetic screen example

Illustrative dashboard view

Operational Performance DashboardIllustrative only • Fictional data
Total cases3,482Current reporting period
On-time completion94.1%Target 92%
Exceptions121Need review
Average turnaround5.8dImproving vs last month
Performance trend6-month view
Exceptions by categoryCurrent period
Example exception detailDrill-through style view
ItemRegionMetricStatusAction
Case-8842NorthTurnaroundOutside targetReview queue
Case-8791CentralCompletionCriticalManager follow-up
Case-8783SouthData qualityOpenCorrect source record
What the solution includes

Typical technical and reporting components

Data foundation

  • Reusable Power Query transformations.
  • Mapping/reference tables to standardise categories.
  • Clear data model with relationships and reusable measures.
  • Defined KPI logic to reduce debate over the numbers.

Report output

  • Headline cards for leadership.
  • Interactive slicers for location, team, period or status.
  • Trend visuals to show change over time.
  • Exception/detail pages for operational follow-up.
Faster monthly cycleConsistent measuresTrustworthy totalsBetter operational focus
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