A private equity-backed software group with multiple HR and payroll business units operating independently on different CRM and ERP systems needed to consolidate group-level reporting and analytics. Each subsidiary had its own systems, making cross-company analysis difficult and preventing leadership from answering basic questions about churn or customer trends across the group.
We provided independent, objective platform assessments and guidance to help the organization evaluate competing vendor pitches and select the right foundation, then delivered a unified data platform designed for multi-entity complexity while preserving the ability to easily demerge or divest individual business units.
The group now has a unified data platform with consistent reporting across business units, enabling leadership to answer cross-unit questions without manual coordination. Board-level dashboards provide visibility into key metrics and are reviewed regularly by senior management. The organization has also decommissioned a legacy ETL tool in favor of a modern stack with version control, lineage and dependency management built in.
If your organization is a multi-entity group, particularly one where business units operate independently or might be divested in the future, this architecture applies directly. The approach shown here works for any organization consolidating data across multiple business units, CRM or ERP systems, or geographies. By designing your platform with demerger readiness in mind from the start, you avoid expensive re-architecture when a business unit is sold or spun off. Unit-by-unit KPI modeling lets you keep business-specific definitions while still enabling cross-unit comparison at the group level. Most importantly, this foundation positions your leadership team for board-level visibility and faster decision-making through consistent, trust-worthy data across the entire group.
A full-stack delivery team combined data architecture and engineering with analytics and governance expertise, working closely with client stakeholders across distributed business units to define requirements and deliver a platform designed for both complexity and long-term flexibility.
A health insurer modernizing its data platform with Snowflake and dbt needed to validate foundation and derivative models before production, but lacked independent testing capability to maintain rigor.
A hospitality company solved fragmented marketing analytics across dozens of properties with a scalable, AI-ready data warehouse approach that empowered analysts and positioned the team for future technology changes.
A global hardware manufacturer evaluated options for migrating from core-based Tableau Server to Tableau Cloud as its existing infrastructure reached the end of its lifecycle.
Interworks GmbH
Ratinger Straße 9
40213 Düsseldorf
Germany
Geschäftsführer: Mel Stephenson
Kontaktaufnahme: markus@interworks.eu
Telefon: +49 (0)211 5408 5301
Amtsgericht Düsseldorf HRB 79752
UstldNr: DE 313 353 072
