Modern Data Strategy for Scalable Growth Across Acquired Companies

A private equity–owned industrial distributor experienced rapid growth through acquisition resulting in fragmented B2B operating environments including disparate systems, multiple ERPs, siloed data, and limited enterprise visibility across the portfolio of acquisitions.  

CapTech partnered with the organization to define a scalable data strategy, establish a master data management (MDM) foundation, and design modern data pipelines, platform, and architecture to enable cross-sell, improve supplier strategy, increase average order value, and unlock analytics across the business.

Growth through M&A created a complex and disconnected data landscape. Multiple ERP systems, inconsistent product and supplier data, and siloed workflows made it difficult to operate as a unified organization and extract value from acquisitions.

These challenges directly impacted high-priority business outcomes, including:

• Cross-selling products across acquired companies
• Recommending alternative or higher-margin products
• Identifying strategic suppliers and optimizing spend
• Aggregating and trusting enterprise-wide data for decision-making

Operationally, teams relied heavily on manual processes, spreadsheets, and institutional knowledge to reconcile data across systems. This resulted in:

• Limited visibility across products, customers, and suppliers
• Inconsistent data quality and reduced trust in reporting
• Slow, manual data preparation and integration
• Difficulty scaling operations as new acquisitions were added

CapTech partnered with the organization to establish a scalable data foundation—prioritizing near-term business impact while enabling long-term integration across a growing acquisition footprint. This included: 

• Data Strategy & Roadmap: CapTech conducted a comprehensive current-state assessment and aligned business priorities to a phased data strategy and roadmap. The roadmap balanced near-term value with long-term scalability, focusing on delivering measurable improvements across prioritized use cases.
• Master Data Management (MDM): To create a unified view across the enterprise, CapTech designed an MDM-driven approach to standardize and govern critical domains such as product, supplier, and customer data. This enabled consistent definitions, improved data quality, and provided the foundation for cross-business visibility.
• Data Preparation & Modernization Pipelines: CapTech defined a modern data ingestion and integration approach to reduce manual effort and accelerate onboarding of new data sources. This included a scalable pipeline strategy to ingest, transform, and prepare data for analytics—enabling repeatable integration as new acquisitions are added.
• Data Platform Architecture: CapTech established a future-state architecture centered on a modern lakehouse data platform, designed to centralize data from multiple ERPs and systems into a consistent analytics layer. The approach supported incremental data quality improvements and scalable analytics through structured data zones and standardized transformation patterns.

By modernizing its data strategy and architecture, the organization transformed fragmented data into a cohesive enterprise asset—enabling more efficient operations and data-driven growth, specifically:

• Improved Visibility Across the Enterprise: Established a unified data foundation, enabling visibility across products, suppliers, and acquired companies to support cross-sell, substitution, and supplier strategy decisions.
• Reduced Manual Effort & Operational Complexity: Automated data ingestion and preparation processes, significantly reducing reliance on manual reconciliation and disconnected workflows.
• Increased Trust in Data & Analytics: Standardized data definitions and governance improved data quality and consistency, enabling more confident reporting and decision-making.
• Scalable Foundation for Future M&A Growth: Delivered a repeatable data architecture and integration approach, enabling faster onboarding of new acquisitions and accelerating time to value.