Analytics & Business Intelligence

Yes. We review how your reports are assembled, which decisions they support, and where manual adjustments are made. We then connect the relevant sources, build reporting models, and validate the results with your team. We can start with one high-effort report and expand once the approach is working well.

Both. We work with tools such as Power BI, Tableau, Looker, and Metabase, and first assess whether your existing setup can meet your needs. If you need a new tool, we compare licensing, data connections, access controls, and ease of use for the people who will rely on it.

Common causes include different definitions, filters, source systems, or refresh times. We trace how each figure is calculated and work with the relevant teams to agree definitions. Where teams genuinely need different measures, we label those clearly rather than force them into one number. Shared reporting models then help keep the agreed calculations consistent.

Not necessarily. We assess the data needed for your priority reports and identify which issues would make the results misleading. Some can be addressed in the reporting model; others need changes at the source. We make those dependencies clear and can scope data engineering work alongside the dashboards where needed.

Yes. We can provide reusable datasets, clear metric definitions, and reporting tools suited to your team’s experience. Access controls help people see only the data they should, while training covers how to interpret and use it. We also agree how new reports are reviewed so self-service does not create conflicting versions of key metrics.

We involve the intended users early and design around their day-to-day questions, rather than start with a list of charts. We test initial versions with them, refine the layout and detail, and provide training. After rollout, usage and feedback help identify what needs improving and which reports can be retired.