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, every site visit. The data is there. But when someone asks a question that matters — what did overtime cost us last month by contract, or which engineers are running over on travel time — the answer still involves exporting a…
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…
Query Folding in Power BI
Introduction Query folding in Power BI is a powerful feature that significantly enhances data processing, efficiency and query performance. This blog post will explore the concept of query folding, its implementation in Power BI, and the benefits it offers for data analysis and reporting. What is Query Folding? Query folding refers to the process by…
How Report Automation Saves Time
1. Introduction: What is Report Automation? Report automation refers to the use of software to automatically collect, process, and present data in a structured format. Rather than manually compiling data from multiple sources, automation tools gather and analyse data efficiently. This reduces the time spent on repetitive tasks and minimises human error. Automated reports are…
