Data integration for
Mergers & Acquisitions

Accelerate data integration. Ensure smooth business continuity across M&As with Ataccama’s unified platform. Start taking full advantage of consolidated portfolios today.


M&A integration success remains elusive


Success rate across strategic,
operational & financial indicators


of post acquisition systems
integrations fail in the beginning


average cost overrun of
systems integration projects

Unconsolidated data = Lost M&A value

Customer data

Customer data

Lacking a unified view of customer data can severely impact customer first initiatives.

Examples of lost M&A value:

  • Higher customer churn rates
  • Increased customer service costs
  • Missed cross-selling opportunities

More about MDM for customer data

Supplier data

Supplier data

Misaligning suppliers can have a trickle down effect in other business operations.

Here are a few examples of lost M&A value:

Risk of supply chain disruptions

Inconsistent delivery timelines

Lost opportunities to rationalise suppliers

Precise cross & up sell initiatives

Product data

Fragmented or poorly integrated product data can impact core business outcomes.

Here are a few examples of lost M&A value:

Increased holding costs and stockouts

Recalls and quality control issues

Low profit margins and wastage

Employee data

Employee data

Slow integration of employee data has swift consequences on security and margins.

Here are a few examples of lost M&A value:

Payroll & benefits errors or disparities

Potential data breaches

Poor employee retention

Best practices for successful
data integrations

Understand risks by using data

Leveraging data analytics can be helpful when trying to plan your data governance framework and data integration strategy. Make informed decisions, strategize risk mitigation plans, and avoid costly oversights.

Create a unified data governance framework

This framework sets the standards, policies, and procedures for data management across the two merging entities. Ensure data quality and compliance during and post data integration execution.

Pilot a Master Data Management tool

Start with a core domain like customer or prospect data. Implement the tool on a small scale to test and refine the data integration process. Create a replicable model and understand the tool’s capabilities.

Classify and profile data

Conduct an audit and detect data domains, sensitive data, redundancies, and potential integration challenges. Understand the data structure and quality to develop an effective data integration strategy.

Scale the data integration process

This process encompasses all data domains. Fully merge, cleanse, standardize, and enrich data from both companies. The result is a unified single source of truth that supports effective business operations.

Best practices for successful data integrations

How Ataccama enables data integration?

ONE logo

M&A deal closed

Integration execution

Value extraction

Work with the leading
unified data management platform

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AI powered DQ & Governance

Quickly understand the state of your data, improve it and block bad data from your systems. Take advantage of AI enabled suggestions, all with minimal effort.

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Flexible Master data management

Consolidate critical data in an MDM hub and manage consent from one place. Easily edit, update, and author new records in a user-friendly web interface.

Catherine Yashida

Ataccama ONE really is a one-stop-solution...that means everyone is capable of fully understanding our data asset inventory to power the next stage of our growth and ambitions.

Catherine Yashida Head of Data Governance, Teranet