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M&AEvery Acquisition Compounds Data Complexity

When two companies merge, they bring incompatible ERPs, duplicate payroll systems, competing CRMs, and siloed data everywhere. Most firms wait 12–18 months to see across both entities.

DataOS changes that.  It unifies and activates your data so you can start gaining cross-company visibility in days, not months.
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Data defines the outcome of every acquisition

70–90%
of M&A deals fail to deliver expected value
18 mo.
avg. ERP consolidation
timeline post-close
7–12
distinct systems in a
typical mid-market company
Day 1
when DataOS delivers
cross-company visibility
The Collision
System Map
DataOS Layer
Timeline Comparison
Day 1 Use Cases
Comparison
When Two Companies Collide

A typical mid-market acquisition brings together 7–12 incompatible systems across both entities. Here's what that actually looks like — and why data is the first casualty.

Financial Reporting Blind Spots
  • Two chart-of-account structures can't consolidate automatically
  • Different fiscal year calendars break period-over-period analysis
  • PE sponsor can't see combined P&L until months of manual work
  • Synergy tracking is spreadsheet-based and error-prone
Workforce Chaos
  • Duplicate employee records across Workday and ADP
  • Can't see combined headcount or payroll spend in one view
  • Overlapping roles and compensation bands unknown
  • Org chart doesn't reflect new combined structure
Customer & Revenue Gaps
  • Salesforce and HubSpot have overlapping customer records
  • No single view of combined ARR, pipeline, or customer health
  • Cross-sell opportunities buried in disconnected data
  • Risk of contacting same customer twice with conflicting messaging
Operations & Supply Chain
  • Duplicate vendor / supplier relationships unknown
  • Inventory and order management on different platforms
  • No consolidated procurement visibility for cost optimization
  • Different product catalogs, SKUs, and pricing structures
The Full System Landscape

Every category below typically has two competing instances after an acquisition. Each represents a consolidation workstream, and a data silo until it's resolved.

See How DataOS Fixes This
Finance & ERP
Core financial operating system
SAP S/4HANA
Oracle ERP Cloud
Microsoft Dynamics 365
NetSuite
Sage Intacct
Epicor
JD Edwards
QuickBooks Enterprise
M&A Conflicts
Chart of accounts mismatch
Dual close processes
Currency / entity issues
Revenue recognition gaps
HR & Payroll
People data & workforce management
Workday HCM
ADP Workforce Now
Ceridian Dayforce
UKG Pro
BambooHR
Paychex Flex
SuccessFactors
Rippling
M&A Conflicts
Duplicate employee IDs
Competing pay structures
Benefits plan conflicts
Org hierarchy gaps
CRM & Sales
Customer & revenue management
Salesforce Sales Cloud
HubSpot CRM
Microsoft Dynamics CRM
SugarCRM
Zoho CRM
Pipedrive
M&A Conflicts
Duplicate customer records
Overlapping pipelines
Territory conflicts
Disparate sales stages
Data & Analytics
BI, warehouses & reporting stacks
Snowflake
Databricks
AWS Redshift
Azure Synapse
Tableau
Power BI
Looker
Qlik
dbt
M&A Conflicts
No shared data model
Incompatible KPI definitions
Siloed reporting
No lineage / trust
Supply Chain & Ops
Procurement, inventory & logistics
SAP SCM
Oracle SCM
Manhattan Associates
Blue Yonder
Coupa
Ariba
Infor WMS
E2open
M&A Conflicts
Duplicate suppliers
Inventory valuation gaps
Procurement policy conflict
Overlapping contracts
IT & Identity
Infrastructure, access & security
Azure AD / Entra
Okta
Active Directory
ServiceNow
CrowdStrike
Splunk
Jira
M&A Conflicts
Dual identity providers
Access control gaps
Security policy mismatches
Shadow IT exposure
Collaboration & Comms
Email, messaging & productivity
Microsoft 365
Google Workspace
Slack
Microsoft Teams
Zoom
SharePoint
Confluence
M&A Conflicts
Email domain fragmentation
File storage silos
Communication gaps
Knowledge isolation
Marketing & Demand Gen
Campaign, content & customer data
Marketo
HubSpot Marketing
Salesforce Marketing Cloud
Pardot
Google Analytics
Segment
M&A Conflicts
Duplicate email lists
Brand inconsistency
Attribution model conflicts
Double-counting leads
DataOS as the Integration Layer

Rather than forcing a 12–18 month system migration, DataOS creates an intelligent data layer on top of all existing systems, giving the PE sponsor and management team unified visibility from Day 1, while IT executes long-term consolidation in parallel.

See How DataOS Fixes This
Traditional Integration vs. DataOS Approach

The traditional path to visibility after an acquisition is long, risky, and expensive. Here's how the two approaches compare across the first year post-close.

See How DataOS Fixes This

Traditional Build-and-Buy Integration

Day 1
Close the deal. Two separate organizations, two of everything. No cross-company visibility. Management reporting is manual spreadsheets.
Week 1–4
Discovery & assessment.  IT teams inventory both systems. Consultants engaged. $200K–$500K advisory spend starts immediately.
Month 1–3
Architecture decisions. Which ERP wins? Which payroll stays? Political battles begin. Business waits. PE quarterly board pack is stitched together manually.
Month 3–9
Migration planning & build. Data mapping. ETL development. Custom connectors. Parallel-run testing. Business disruption risk is high.
Month 9–18
Cutover & stabilization. If everything goes perfectly — which it rarely does — you finally have one ERP. Most projects slip 3–6 months.
18+ Months
First real consolidated view. 18 months of guesswork, manual work, and integration risk to see what you actually acquired.

With DataOS ®  
‍

Day 1
Close the deal. DataOS pre-integration work begins in due diligence. Connectors to both companies' systems are mapped before close.
Week 1–2
DataOS connected.  Read-only connections to both ERPs, HRIS, and CRMs established. No migration. No disruption to either company's operations.
Week 2–4
First data products go live. Consolidated P&L view, unified headcount dashboard, and combined pipeline report delivered to leadership.
Month 1–3
100-day plan fully tracked. Synergy targets measured in real-time. Duplicate vendor and customer analysis completed. PE board pack automated.
Month 3–12
IT runs consolidation in parallel. Business analysts keep running cross-company analytics in DataOS while IT migrates at its own pace — no pressure, no blocking.
Month 12+
DataOS evolves with the stack. As ERPs consolidate, DataOS adapts. It becomes the persistent intelligence layer across the entire portfolio.
Traditional Path
$1–5M+
Typical IT integration spend for a mid-market M&A. Consultants, custom ETL, parallel runs, and project delays compound rapidly.
DataOS Time-to-Value
2 Weeks
From deal close to first cross-company reports. No migration required. Business and IT work in parallel from day one.
Integration Risk Reduction
~70%
DataOS federates data in place,  eliminating the biggest risk vector in M&A integration: moving data between systems during critical stabilization periods.
Acquisitions per Year
3–5×
Active Buy & Build PE firms do multiple add-ons per year. DataOS scales across the portfolio , one platform, every deal, every system.
Day 1 Use Cases for Buy & Build PE

These are the data workflows that matter most in the first 100 days post-acquisition , and the ones DataOS unlocks immediately without waiting for IT consolidation.

See How DataOS Fixes This
Finance
Consolidated P&L — Day 1
Federate financial data from both ERPs into a single consolidated income statement. PE sponsor and CFO get one view , regardless of whether SAP and NetSuite are ever merged.
Day 1 impact
SAP S/4HANA
NetSuite
Oracle ERP
Dynamics 365
HR / Workforce
Unified Headcount & Payroll View
Merge employee records across Workday and ADP. See combined headcount, payroll cost, span of control, and overlapping roles instantly , without consolidating HR systems.
Day 1 impact
Workday
ADP
Ceridian
UKG
Revenue
Combined ARR & Pipeline Report
Combine Salesforce and HubSpot deal data into one pipeline view. Spot duplicate customers, cross-sell opportunities, and total revenue at risk, immediately after close.
Week 1 impact
HubSpot
Salesforce
Dynamics CRM
Operations
Vendor & Supplier Rationalization
Surface duplicate vendors across both procurement systems. Identify immediate cost savings from renegotiating consolidated contracts with shared suppliers.
Week 1 impact
Coupa
SAP Ariba
NetSuite
Oracle SCM
PE Reporting
100-Day Plan KPI Dashboard
Automatically track all synergy targets, integration milestones, and value-creation KPIs from the deal thesis, in real-time, across all source systems.
Week 1 impact
All ERPs
HRIS
CRM
Custom KPIs
Analytics
Cross-Company Performance Analytics
Compare operational KPIs across both entities, revenue per employee, gross margin by product line, customer acquisition cost, using a shared, agreed-upon data model.
Month 1 impact
Snowflake
Power BI
Tableau
Looker
Risk
Customer Overlap & Churn Risk
Identify shared customers across both CRMs. Prevent double, contacts, merge revenue attribution, and flag at-risk accounts before the integration creates churn.
Week 2 impact
Salesforce
HubSpot
Marketo
Segment
Portfolio Scale
Cross-Portfolio Benchmarking
As the firm does more add-ons, DataOS creates a unified intelligence layer across all portfolio companies, enabling PE operators to benchmark performance and share best practices at scale.
Ongoing value
All Portfolio ERPs
All CRMs
All HRIS
DataOS vs. Traditional Integration Approaches

How DataOS compares against the standard playbook for M&A data integration, custom ETL builds, point-to-point connectors, and waiting for ERP consolidation.

CapabilityCustom ETL / Point SolutionsWait for ERP ConsolidationData OS ®  
Day 1 cross-company visibilityWeeks to months12–18 monthsWithin 2 weeks
No data migration requiredRequires ETL pipelinesFull migration requiredFederated - query in place
Works with legacy + modern systemsCustom per systemLegacy often excludedC200+ native connectorsell
Unified semantic layer / KPI alignmentManual in BI toolsOnly after migrationBuilt-in business glossary
IT and business run in parallelLimitedBusiness blocked by ITFully decoupled
Master data management (dedup)Separate MDM projectDuring migration onlyCross-system entity resolution
Data governance & lineageNot includedPost-migration onlyEnd-to-end across all systems
Scales across multi-add-on portfolioRebuilt each dealLinear cost per acquisitionOne platform, all deals
PE board pack automationCustom build requiredManual until go-liveAutomated data products
Reusable across future acquisitionsBuilt for one dealNot applicableData products carry forward
The PE Ops Team's Challenge
Operating partners need to show value in the first 100 days. Without cross-company data, synergy tracking is guesswork. DataOS gives them the visibility to execute, not just plan.
The Platform CTO's Challenge
Every add-on brings new systems. The CTO is drowning in integration debt. DataOS creates a reusable, scalable data layer that doesn't grow linearly with acquisitions.
The Deal Team's Challenge
The deal thesis depends on synergies that can't be measured. With DataOS, the data integration work starts in due diligence , so the thesis is validated before close, not 18 months after.

What DataOS delivers

Federated Query. No Movement Required 
DataOS connects directly to both companies' systems, on-prem or cloud, legacy or modern, and queries data in place. No ingestion pipeline. No migration required to get started.
Outcome-Driven Data Products 
Teams build reusable data products that pull from both companies' systems. Examples: a Consolidated P&L data product, a unified Employee 360. Pre-modeled, governed and ready to use.
Unified Context
"Revenue" means different things in different systems. DataOS creates a single semantic layer that aligns KPI definitions across both companies from day one.
Cross-Portfolio Master Data 
Automatically identify and merge duplicate customers, vendors, products, and employees across both entities, without waiting for ERP migration.
Governance & Data Trust
Full data lineage across all connected systems. Know where every number came from, who can access what, and what the quality is, across both companies' stacks.
Parallel Track Execution 
IT continues long-term system consolidation on its timeline. Business leaders run cross-company analytics from DataOS now. No waiting, no blocking.
The integration clock is ticking.
DataOS activates from Day 1.
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