M&A integration success remains elusive
14%
Success rate across strategic,operational & financial indicators
70%
of post acquisition systemsintegrations fail in the beginning
20%
average cost overrun ofsystems integration projects
Unconsolidated data = Lost M&A value
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
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
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
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.
How Ataccama enables data integration?
M&A deal closed
Integration execution
Value extraction
Work with the leading
unified data management platform
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.
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.
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