Best Practices to Reduce Data Risk, Costs, and Time for M&A – Part 1

From pre-sale due diligence to post-sale consolidation, unstructured data analysis and integration provide many opportunities to streamline mergers, acquisitions, and divestitures. This three-part paper will cover six ways that organizations can lower data risks and costs during the M&A process.

In Part 1 of this three-part whitepaper, we will cover:

• Practical solutions to scan large amounts of unstructured data, and why using a sample isn’t enough
• Common data management differences among organizations
• Discovering sensitive data in a variety of sources, including data that could violate a privacy mandate such as CCPA or GDPR
• How A.I. can automate data labeling and address immediate vulnerabilities