Solutions
Reporting Automation
One number per metric, defined once, produced automatically, and agreed across departments.
Most reporting disputes are definitional, not technical: sales and finance count a closed deal on different days. We write the metric dictionary first — definition, source system, owner, refresh cadence — and then automate production. The result is that leadership meetings argue about the business instead of about whose spreadsheet is right.
- 01
Metric dictionary with definitions and owners
- 02
Automated data consolidation across systems
- 03
Executive, departmental and operational dashboards
- 04
Scheduled distribution and exception alerting
- 05
Reconciliation checks against source systems
- 06
Month-end close acceleration
FAQ
Do we need a data warehouse?
Not for most mid-market reporting. It becomes worthwhile when you have several source systems and need historical snapshots that the sources overwrite.
Which BI tool do you recommend?
Usually the one already in your stack. Tool choice matters far less than metric definition discipline.
How long until dashboards are trusted?
After one full reporting cycle where the automated numbers reconcile with the manual ones, which is why we run both in parallel initially.