Schedule a call BREDGE INSIGHTS
The problems behind the dashboard.
Practical writing on data engineering, analytics and the organisational reasons good data work still fails — with checks you can run yourself before anyone rebuilds anything.
Data reliability
Why do Finance and Sales have different revenue numbers?
The board pack says £4.2m, CRM says £4.5m, and Finance has a spreadsheet with £4.3m. Every number has an explanation. Here is how to find it — before anyone rebuilds a dashboard.
Running a data function
When do we actually need a data team — and who should we hire first?
Analyst, analytics engineer, or data engineer? Hire, project, or embedded team? A decision guide for your first data capability — without hiring too early.
Data systemsDo we actually need a data warehouse yet?
A warehouse is one answer, not the answer. When better SQL, a managed connector or a semantic model is enough — and the requirements that mean it is genuinely time.
ALL INSIGHTS
- Data reliabilityWhy do Finance and Sales have different revenue numbers?
- Running a data functionWhen do we actually need a data team — and who should we hire first?
- Data systemsDo we actually need a data warehouse yet?
- Data systemsOur customer data lives in five systems. How do we get one reliable customer view?
- Analytics & BIWe rebuild the same management report every month. How do we automate it without making it more fragile?
- Running a data functionWe know our data setup is messy. What should we fix first?
- Analytics & BIWhy is our Power BI dashboard so slow?
- Analytics & BIWe spend days cleaning Excel files before every report. What should we automate first?
- Data reliabilityHow do we know whether our data is actually reliable?
- Data systemsWe need better reporting. Do we need Power BI, a warehouse, or both?