Service
Business Reporting and Data Integration Services
Consolidated reporting and dashboards that replace manual exports and spreadsheet reconciliation.
Problems this service addresses
- Reports assembled manually every cycle
- Inconsistent spreadsheet definitions
- Data spread across systems
- Delayed management visibility
- Unreliable KPIs and recurring reconciliation work
What Northbridge can design or implement
Turn operational data into useful reporting and decision support with dependable definitions and reduced manual preparation.
Representative capabilities
- Data consolidation
- Dashboards
- KPI reporting
- Scheduled reports
- Operational analytics
- Data-quality checks
- Exports and management reporting
- Reporting pipelines
Typical delivery approach
Reporting work begins by agreeing on the questions to answer and the definitions behind each KPI. Northbridge consolidates the underlying data, builds dashboards or scheduled reports, and adds data-quality checks so the outputs remain trustworthy.
Frequently asked questions
- Do we need a data warehouse to start?
- Not necessarily. Many reporting engagements start by consolidating data from existing systems into a simple, well-defined layer that fits the current volume.
- Can definitions be shared across teams?
- Yes. Documented KPI definitions and consolidated sources are part of the deliverable, so different teams work from the same numbers.
How we approach it
Useful reporting starts with agreement on what each number means. We identify the source of each metric, the records it includes, how often it should refresh, and how discrepancies will be investigated. Dashboards and scheduled reports can then be scoped around the decisions your team needs to make, with access and validation rules documented alongside the data flow.
Illustrative scenario: a weekly management report built by hand from three exports is replaced by a dashboard that pulls the same records on a schedule and shows when each source last refreshed.
Inputs, roles, and exceptions
- Metric definitions and the records each one includes
- Source systems and their owners
- Who may view which reports
If a source refresh fails, the report should show stale data as stale rather than presenting an apparently current total.
What an acceptable result means
An acceptable result reconciles a sample of reported figures against the underlying records and documents how each metric is calculated. A practical way to plan that check is a data reconciliation checklist.
Boundaries: Reporting can only be as reliable as its sources; inconsistent source data may need separate cleanup work.
Next step
Workflow Review — A detailed written assessment of one reporting process and its most useful improvement opportunities.
Ready to talk about your project?
Start with a paid consultation, or request a written proposal for a larger engagement.