Engineering for your business
Dashboards and business intelligence
Custom dashboards that make operational information readable for decision makers. Work starts with defining metrics, sources and update frequency before choosing a chart.
Problems I can address
- Manually assembled reports with inconsistent definitions.
- Available data that does not answer business questions.
What the scope can include
- Metric dictionary with calculation rules.
- Processing and integration of authorised sources.
- Dashboard with filters, accessibility and data context.
- Consistency tests and refresh documentation.
When to consider it
For operations tracking indicators with clear origins, useful breakdowns and access controls.
Possible applications
Potential scope, not completed-project claims:
- Activity dashboard by owner and stage.
- Order view broken down by period and source.
- Metric reporting with visible definitions, sources and refresh context.
What affects the estimate
Source count, record quality, calculation rules, refresh frequency and access roles matter more than chart count. Incomplete history may need additional preparation. Bring the questions you need answered and authorised source samples.
Limits and decisions
A dashboard alone cannot fix incomplete data. Source quality, refresh cycles and ownership must be agreed.
The deliverables on this page guide the proposal. Integrations, migration, support, infrastructure and responsibilities are confirmed in the agreed scope.
A metric needs a decision and a definition
Bring a management question and each figure's source. I can define calculations, periods, breakdowns, refresh and reconciliation before visualisation. Read-only reporting differs from an application changing records. Incomplete sources need visible limitations; charts do not certify an unreconciled dataset. This site's demo uses fictional records and only illustrates filtering, a table and totals.
How the work progresses
- Define decisions and a dictionary for each metric.
- Inspect sources, gaps and refresh frequency.
- Build filters and views with context and appropriate access.
- Check totals against sources and document limits and refresh.
FAQ
Before we begin.
Do I need predefined metrics?
No. Discovery can define the formula, period, unit and owner. A metric is useful when it answers a concrete decision.
Will the dashboard update in real time?
That depends on the source and need. Periodic refresh may be sufficient and less complex. Frequency and limitations will be explicit.
How can I check whether a number is correct?
Through documented rules, samples reconciled to sources and tests of totals and filters. The dashboard should show period and source context.