The same boring infrastructure.
Different data, every time.
We work across industries where structured data directly impacts decisions. Power BI dashboards, data engineering pipelines, and cloud infrastructure the problems are different, the approach is the same.
Where we work.
Live means we have active client work in this sector. Available means we're ready for it.
Every industry has the same underlying problem data that exists but can't be trusted. BoringBI builds the Power BI dashboards, data engineering pipelines, and cloud infrastructure that fix that foundation, whatever sector you operate in.
A subcontractor overrun nobody catches until the job's already over budget. Job costing, project tracking, and subcontractor visibility from scattered site data built for firms running multiple projects without a central view.
Metrics: Cost Variance · Project Profitability · Subcontractor Performance · Budget vs Actual · Schedule Variance
→ See case studyAn SLA miss you find out about from the client, not your own dashboard. Power BI reporting built directly on SAP EWM and SAP HANA no translation layer, no delay.
Metrics: Throughput Rate · SLA Compliance · Pick Accuracy · Inbound vs Outbound · Carrier Performance
A line running below OEE for weeks before anyone notices on paper. Production volume, OEE, inventory turns, and on-time delivery connected to Power BI for live production reporting.
Metrics: OEE · Production Volume · Inventory Turnover · On-Time Delivery · Cost of Goods Sold
Churn creeping up quietly while the board deck still shows last quarter's good news. MRR, ARR, churn, CAC, and NRR in a single semantic model numbers leadership can steer on, not just report.
Metrics: MRR · ARR · Churn Rate · CAC · NRR · Customer Lifetime Value
A quiet Tuesday nobody planned staffing around, or a sold-out event nobody repeated because no one tracked why it worked. Footfall, revenue per cover, and event performance without the corporate overhead.
Metrics: Revenue per Cover · Footfall · Event Performance · Seasonal Trends · Staff Utilisation
SSRS, SSIS, SAP BusinessObjects, and Excel reporting moved to Power BI, Microsoft Fabric, and Databricks. Assessed first, migrated without breaking what's already running.
Metrics: Report Usage Coverage · Pipeline Migration Status · Data Parity Validation · Cutover Readiness · Legacy Decommission Rate
See full service →Real problems.
Boring solutions.
Two clients. Two industries. Both started with messy data and no reporting framework.
Scattered project data with no central view. Oakwood Fort needed to track job performance, costs, and timelines in one place without building an internal data function.
Not sure if it's the data or the dashboard?
That's exactly the kind of thing worth a conversation before committing to either. No pitch, just a clear look at where the real problem sits.