Post-Acquisition Data Consolidation: One System, One Source of Truth

You acquired companies and inherited their ERP systems, naming conventions, and data quality issues. Now you have multiple databases with overlapping records and no unified view of customers, inventory, or financials. We fix that.

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The Post-Acquisition Data Problem

These challenges are common after M&A activity and they compound the longer they go unaddressed

Multiple ERPs, No Single Source of Truth

Different systems with different naming conventions, different field structures, and conflicting records. Nobody knows which system has the correct data for a given customer, item, or vendor.

Duplicate Customer & Vendor Records

The same customer entered differently across acquired companies. Vendor records that do not match. Your team wastes hours figuring out which record is the right one before they can do real work.

Incompatible Item/SKU Numbering

Different part numbers for the same products across divisions. No way to see total inventory or purchasing volume because every acquired company used a different numbering scheme.

Reporting Across Divisions Is Impossible

You cannot get consolidated financials, inventory counts, or customer analytics without manual effort. Someone is always stitching spreadsheets together to get a cross-company view.

How We Consolidate Your Data

A systematic, phased approach to merging data from acquired companies into a single source of truth

  • 01 Data Landscape Assessment

    We map every system involved: ERPs, CRMs, spreadsheets, Access databases, and legacy platforms from every acquired company. We quantify the duplicates, gaps, and conflicts so you know exactly what you are dealing with and what the consolidation will involve. This assessment drives the entire project plan.

  • We define the unified data structure for your target system: field mapping between source and target, naming conventions, hierarchy, and classification standards. Every customer, vendor, item, and GL account gets a clear mapping from old system to new. This is where the real complexity lives, and we handle it methodically.

  • We merge duplicate records, resolve conflicts where the same entity has different data across systems, and standardize formats. Customers that exist in three systems under slightly different names become one clean, authoritative record. We document every merge decision for audit purposes.

  • We move the consolidated data into your target system, validate integrity at every stage, and run reconciliation checks. We work on copies of your data, never production, and only cut over when data integrity is confirmed and your team has signed off on the results.

  • Clean data does not stay clean on its own. We establish validation rules, entry standards, and automated monitoring to keep data quality high after the consolidation is complete. Your team gets clear processes for maintaining what we built, so the next acquisition does not create the same mess.

 

Real Results

What we delivered for a PE-backed distributor that acquired 5 companies in 3 years

5 Acquired Companies Consolidated Into One ERP and CRM

Customer, vendor, and item data from 5 separate companies merged into a single unified system with consistent naming, hierarchy, and data standards.

180K+ Records Processed

Over 180,000 customer, vendor, and item records assessed, mapped, cleansed, and migrated into the target system with full data integrity validation.

34% Duplicate Customers Eliminated

More than a third of all customer records were duplicates across the acquired companies. Every duplicate was identified, merged, and resolved into a single authoritative record.

Single Source of Truth Established

Leadership finally has one place to look for consolidated financials, inventory, customer data, and vendor information across all divisions.

Read the Full Case Study
Operations team reviewing consolidated data

Who This Is For

Post-acquisition data consolidation is critical for organizations that have grown through M&A and need unified, trustworthy data to operate effectively:

  • PE Portfolio Companies Post-Acquisition — You have acquired multiple companies and need to consolidate their data into a single platform to realize operational synergies and enable accurate reporting across the portfolio.
  • Manufacturers & Distributors Who Have Grown Through Acquisition — Each acquisition added another ERP, another set of naming conventions, and another batch of duplicate records. It is time to unify.
  • Companies Planning an ERP Migration — You are moving to a new ERP and need clean, consolidated data before the migration begins. Migrating dirty data into a new system just moves the problem.
  • Businesses With Data Scattered Across Legacy Systems — Critical data lives in AS/400, FoxPro, Access databases, and spreadsheets that accumulated over decades. You need it all in one place.

Systems We Consolidate From and To

We extract, map, and migrate data across the ERP and business systems manufacturers and distributors actually run

SAP

Oracle

Epicor P21

Infor

NetSuite

Sage

Microsoft Dynamics

FoxPro

AS/400

Access Databases

Spreadsheets

Post-Acquisition Data Consolidation FAQ

Common questions from PE firms, CEOs, and operations leaders evaluating data consolidation after M&A

  • How many companies can you consolidate at once?

    We have consolidated up to 5 acquired companies into a single unified ERP and CRM in one project. The number depends on the complexity of each company's data, the systems involved, and the volume of records. We scope every project individually based on what we find in the data landscape assessment.

  • No. We consolidate data across different ERP platforms into your target system. Whether the acquired companies run SAP, Oracle, Epicor P21, Infor, NetSuite, Sage, Dynamics, or legacy systems like AS/400 and FoxPro, we extract, map, cleanse, and migrate the data into whichever system you choose as your go-forward platform.

  • Typically 2 to 6 months depending on the number of companies being consolidated, the volume of records, the complexity of the data mapping, and how many systems are involved. We provide a detailed timeline after the initial data landscape assessment.

  • We always work on copies of your data, never production systems. We validate thoroughly at every stage, run reconciliation checks, and only cut over to the consolidated system when data integrity is confirmed and your team has signed off on the results.

  • Yes. Data cleanup is available as a standalone service. If you need to deduplicate records, standardize naming conventions, or fix data quality issues within your existing system without migrating to a new one, we do that too. See our full Data Cleanup & Visibility services.

Acquired a Company? Let's Get Your Data Unified.

If you have been through an acquisition and still do not have a single source of truth, we should talk. We will assess your current data landscape, map the path to consolidation, and show you exactly what it takes to get every division on the same system with clean, trustworthy data.

Book a Free Data Assessment