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The Value of RPA in Mergers and Acquisitions

The quality of an M&A transaction is based in part on the ability to consolidate networks and procedures quickly and efficiently to draw on cross-selling, synergistic benefits, and cost efficiencies.
 
Reduced costs, increased speed, and better data accuracy are all advantages of RPA. When using RPA for finance, the expense of setting up and running a new organization in a divestiture can be greatly decreased. Overall, RPA can be used as far as possible in the M&A life cycle to help optimize transaction value.

RPA can help with some of the biggest issues that arise when acquiring or merging a business, such as automating common challenges in application integrations and migrations like data mapping, extraction, and remediation. RPA can be implemented when the merger is in progress and be operational by the time the transaction is concluded.
 

What you'll learn

COMMON CHALLENGES FOR M&As

Take a look at how can RPA help with some of the biggest issues that arise when acquiring or merging a business.

WHERE DOES RPA ADD VALUE TO M&As

See what RPA can do to transform the way organizations perform an M&A transaction, and how RPA will help address the challenges that make conversions time-consuming and difficult.

MAIN ADVANTAGES

Understand the main advantages of implementing RPA in mergers and acquisitions.

COMMON USE CASES FOR M&A

Learn what are the most common use cases of RPA for M&A across industries.

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