CDC & source-system integration
Near-real-time change data capture from ERP, CRM, billing, operations, and portfolio-company line-of-business systems into a governed analytics foundation.
We help PE-backed companies connect source systems, define the KPIs that matter, and build the reporting layer management and sponsors can actually run on.
The Operating Reality
PE value creation execution depends on trusted operating visibility. When the board report, the management dashboard, the source systems, and the spreadsheet rollups disagree, the plan cannot be managed with confidence.
What We Build
A complete data and KPI visibility layer designed for portfolio-company scale: integration, definitions, dashboards, exceptions, and the operating cadence sponsors and management actually use.
Near-real-time change data capture from ERP, CRM, billing, operations, and portfolio-company line-of-business systems into a governed analytics foundation.
Analytics-ready storage and modeling layers tuned to portfolio-company scale—not over-engineered, not under-built.
A single, documented definition for every KPI sponsors and management run on—owned, versioned, and auditable across teams.
Operating dashboards for management and board-cycle visibility for sponsors, drawn from one trusted reporting layer.
Reconciliation, data-quality checks, exception alerts, and freshness signals that catch breakage before the board cycle does.
Weekly, monthly, and board-cycle reporting automated against the same trusted layer, sized to how the business actually runs.
Why PE Cares
Trusted KPI visibility is the difference between a plan management can run and a plan management can only report on after the fact.
Sponsors and operating partners see workstream progress between board cycles, not just at quarter-end.
Management makes pricing, staffing, integration, and cost-take-out decisions on current data instead of stale rollups.
Trusted definitions and reconciled source data reduce diligence friction in refinancing, recapitalization, and exit.
Consolidate reporting across roll-up acquisitions on one operating cadence instead of one-off bolt-on dashboards.
A reporting layer the buyer can read—and that management can defend—shortens the path from LOI to close.
Implementation Path
Map the ERP, CRM, billing, operations, HR, and add-on systems that already hold the data the plan depends on.
Outcome: A short, decision-ready inventory of where the operating truth currently lives—and where it disagrees.
Lock the KPIs that sponsors and management will actually run on. Definitions, owners, sources, and cadence in one place.
Outcome: A KPI definition layer the board, the operators, and finance all sign off on—before the build starts.
Stand up the integration layer between source systems and the analytics foundation, prioritized to the KPIs that matter most.
Outcome: Trusted, near-real-time data movement into the analytics layer—without re-platforming the operating systems.
Reconcile source systems to the analytics layer, add data-quality checks, and surface exceptions before reports go out.
Outcome: A reporting layer management trusts—and stops bypassing with parallel spreadsheets.
Operational dashboards for management, board-cycle views for sponsors, and exception reporting for the operators on point.
Outcome: One trusted reporting layer feeding management, sponsors, and board cadence—no duplicate sources.
Embed the reporting layer into weekly, monthly, and board-cycle operating reviews with ongoing data-engineering support.
Outcome: A reporting cadence the sponsor expects, sized to how the company actually operates.
Where It Fits
Data and KPI visibility sits directly between sponsor pressure and operating execution. It is the layer AI automation, transaction services, and modernization all depend on.
Trusted data is the precondition for AI in the loop. Automation built on broken data is rework waiting to happen.
See AI workflow automation →Diligence findings around data, integration, and reporting become the data workstreams the operating plan depends on.
See transaction services →Many reporting gaps trace back to fragile legacy workflows. Modernization and data capture often need to move together.
See modernization →Cost-tuned cloud and data architecture that supports the KPI visibility layer without over-engineering the stack.
See cloud & data foundations →We strengthen sponsor and management-team execution capacity. We do not replace the judgment of management, the sponsor, or the operating partner.
Request a KPI Visibility Diagnostic