Writing about what actually makes data hard to use
Most organisations we work with aren’t short of data. They have job management systems, finance platforms, spreadsheets, dashboards — sometimes all four. The problem is that none of it quite connects, and too much time goes into producing numbers that still get questioned in the room.
This blog is where we write about that gap: why operational data is harder to use than it should be, what good actually looks like for a business without a dedicated data team, and what we’ve learned from solving these problems in practice.
No platform marketing. No transformation hype. Just honest writing about data, reporting, and what it takes to make organisations run more confidently from the information they already hold.
Field Service Reporting │ Responsive Analytix
Field service reporting should be straightforward. Your FSM platform logs every job, every engineer, and every site visit. The data is there. However, when someone asks a question that matters — such as what did overtime cost us last month by contract, or which engineers are running over on travel time — the answer still…
BigChange DaaS: What It Gives You, and Where It Stops
BigChange DaaS (Data as a Service) is BigChange’s paid route to getting your own data back out of the platform: job records, finance data and vehicle tracking, delivered every hour into a database your own reporting tool can read. It is one of the better documented routes out of a field service system, and for…
Why Your Database Migration Won’t Fix Your Reporting
The migration went well. The new database is faster, more reliable, properly supported. The application performs better. Everyone is pleased. Then the first month-end arrives, and finance can’t produce the board pack. This is the moment a particular kind of conversation tends to start. The migration was meant to fix things. Why are reports harder…
Power BI and Google BigQuery Integration: Architecture, Pitfalls, and Business Value
Introduction Organisations generate more data than ever before, and getting the best value requires the right combination of platforms and tools. Google BigQuery offers near-limitless scalability for storing and querying data, while Microsoft Power BI provides intuitive visualisation and reporting capabilities. Undertaking a BigQuery Power BI integration enables organisations to combine Google’s scalable data warehouse…
5 BigQuery Query Cost Mistakes Draining Your Cloud Budget
BigQuery is fast and powerful the analytics engine is trusted by organisations of all sizes, from agile startups to global enterprises. But with this power comes the potential for inefficiency which in turn can lead to unnecessary costs from poorly optimised queries. With careful planning, robust query practices and proactive cost monitoring, you can mitigate…
CI/CD Pipelines and Azure Dev Ops
1. Introduction What is CI/CD? While many people have heard of CI/CD, fewer know it stands for Continuous Integration and Continuous Deployment. CI/CD is a method designed to integrate code changes and deploy updates to production environments. Continuous Integration (CI) means merging code. This allows many developers to collaborate. It also ensures that only tested…
