Data, dashboards, and Business Intelligence

We start from the decisions management and operations must make each week or month—sales, service, costs, compliance, or capacity. With key people we review which questions go unanswered today and which data already exists. We prioritize a few well-defined indicators before expanding the catalogue. The result is an agreed list with formula, source, and owner—not an endless metric inventory.

Yes, when APIs, stable exports, or connectors are available. We assess CRM, ERP, spreadsheets, and other sources by frequency, quality, and permissions. We design integration so it can be operated and monitored—not only demoed. If a source is unstable, we flag it and propose cleaning it up before automating consolidation.

Not always. Spreadsheets often remain as input or temporary control while the source stabilizes. We aim to reduce repetitive manual copies and leave clear definitions. If a spreadsheet is the only trusted source, we document it and, when useful, integrate or migrate it in phases. Full replacement is proposed only when it improves maintainability and trust.

A report is usually a point-in-time or periodic delivery with a fixed narrative—figures for a closed period. A dashboard is a living view for checking indicators, filtering, and spotting exceptions at a defined frequency. Both are useful; we choose the format based on the decision and audience. Sometimes the first step is a reliable report, then an operational dashboard.

We define a role and permission model aligned with data sensitivity and job responsibilities. We review access in the reporting tool and in source systems when relevant. We document who approves new users and how access is removed when roles change. The goal is useful visibility without exposing data that does not belong.

Yes, when sources allow scheduled extraction and quality is sufficient. We agree frequency based on the decision—operational views may need several times a day; management views daily or weekly. We also leave basic monitoring to detect refresh failures. If the source only updates overnight, the dashboard will follow that rhythm—we do not promise artificial real time.

A description of the decisions you want to improve, samples of current reports, access or screenshots of main sources, and the names of key people by area. With that we prepare an initial meeting to prioritize indicators and estimate effort. You do not need a full data program to start—clarity on the visibility problem is enough.

Cost depends on data sources, data quality, required indicators, the data model, security, automation, and refresh frequency. A dashboard connected to one clean source is different from a project that must first reconcile data from several systems. Indicators should be defined before visual design begins.