Post-acquisition data integration · Powered by S.C.A.L.E.™
From acquisition close to single source of truth, in 6 months
Every acquisition lands the same way - inherited ERPs, CRMs, and warehouses that don't talk to each other, customer and product identities scattered across systems, and a board demanding the synergy numbers next quarter. Algoscale's M&A data integration accelerator stitches the estate together fast - so reporting, AI, and operations stop waiting for the integration team.
Systems we consolidate
SAP 
NetSuite 
Salesforce 
Dynamics 
ServiceNow 
SQL Server What you inherit at close
Four problems every CIO walks into on Day 1
Every M&A is messy in the same predictable ways. Naming the problems is half the work.
Multiple ERPs that don't speak
SAP at one entity, NetSuite at another, Oracle at the parent. Three general ledgers, three chart-of-accounts dialects, three close cycles. Finance reconciles in spreadsheets until someone fixes it.
Multiple CRMs, duplicate accounts
Salesforce, Dynamics, HubSpot - or all three. The same customer exists in 4 records, sales sees different opportunity histories depending on who they ask, and forecasting becomes guesswork.
Identity sprawl
Customer, product, vendor, and employee identities scattered across systems with no golden record. Data quality projects fail because they fix symptoms, not the underlying identity layer.
Compliance and audit gaps
Different policies per acquired entity. No unified audit trail. The first compliance review post-close turns into a six-month scramble - exactly when the board wants attention on synergies.
What 'integrated' actually means
How the estate comes together
Every acquired entity (and the parent) arrives with its own ERP, CRM, and reporting stack. S.C.A.L.E. consolidates them into one enterprise data warehouse that every downstream team can trust - without the multi-year integration project.
Acquired Entity A
Acquired Entity B
Acquired Entity C
Parent Company
Consolidation layer
Identity resolution · harmonization · governance
Ingest
Every system, normalized
Resolve
Customer, product, vendor identities
Harmonize
Golden records, one chart of accounts
Enterprise Data Warehouse
Single source of truth across every acquired entity
What the business does with it
BI & Reporting
One set of numbers, every leader agrees on
AI Agents
Trained on the consolidated truth, not per-entity silos
Finance & Board
Consolidated close, synergy numbers, audit trail
Operational sync
Pushes cleaned data back to acquired systems
The playbook
Four phases. Each one ships before the next starts.
Designed to put numbers on the board fast. Day-1 reporting comes online before identity resolution finishes; identity resolution ships before legacy sunset begins. No big-bang cutover.
Pre-close diligence
Audit the target's data estate before signing. Connector inventory, data-quality red flags, integration cost estimate, and a 6-month risk-adjusted plan. Pairs with corp dev's commercial diligence so the deal model reflects integration reality.
Day-1 connectivity
Read-only extraction from acquired systems on day one. Reporting and finance get the consolidated view they need before any system gets rewritten. No production writes; no operational risk.
Identity + master data
Customer, product, vendor, and employee identities resolved across systems into a golden record. Survivorship rules agreed with the business, not invented in IT. The foundation downstream BI and AI assume.
Consolidated EDW + sunset
Single enterprise data warehouse / lakehouse becomes the source of truth. Legacy reporting stacks retire on a defined schedule. Sales, finance, and ops teams move to one system without the cutover panic.
Powered by S.C.A.L.E.™ - the data foundation under the consolidation
M&A integration is one of the cleanest fits for S.C.A.L.E.™ - our Terraform-driven enterprise data platform accelerator. The connectors are built for SAP, NetSuite, Salesforce, ServiceNow, Dynamics, and SQL Server (the systems acquisitions inevitably bring); the lakehouse handles the consolidated EDW; the governance and compliance layer handles the inherited audit gaps. Pair it with Algoscale's data integration consulting team for the people-and-process side of the integration.
Carve-outs - the same playbook, in reverse
Divesting a business unit? The data problem is symmetrical: cleanly separate the acquired entity's records from the parent's systems, hand the buyer a clean data estate, and avoid the multi-year shadow-system tail. Algoscale's carve-out integration practice uses the same accelerator, the same playbook, in the opposite direction.
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Read moreLooking at an acquisition - or sitting on a stack of them?
45-minute walkthrough. Bring your inherited estate and your timeline; we'll map the integration shape and show you what S.C.A.L.E. ships against it.