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In any M&A transaction, efficient data transfer between buyer and seller is part of a successful transaction. Leveraging advanced technologies and our demonstrated methodology, Deloitte’s DataMAAP assists organizations by using AI during M&A to facilitate and streamline the data transfer process.
The success of an M&A transaction depends on many things. The data transfer between buyer and seller is one of them. Data ownership is often scattered across multiple functions, locations, and platforms and this creates disputes, delays, and disconnects as stakeholders struggle with competing versions of the truth. With the growing volumes of corporate data there are real difficulties in understanding and tracking decisions about content. When this data contains sensitive materials, the transfer approvals and separation workflows take on even more significance.
DataMAAP allows you to get ahead of these challenges. An intelligent platform designed to assist you as you scope, plan, manage risk, execute, and track organizational asset transfers during a transaction. DataMAAP empowers organizations to easily manage and report on transaction asset/data transfers and to create and manage workflows to segregate commingled data stores. It applies machine learning, AI, and a codified methodology to accelerate business data scoping, segregation, transfer, and integration, including a transition service agreement (TSA) self-service function to help reduce stranded costs and risk.
With DataMAAP, you can manage a master list of the data eligible for transfer and establish parameters, data management guidelines, and track dispositions across the data transfer lifecycle.
Determine compliance with guiding principles of data separation or integration while gaining a single view of the data transfer process across all data types. Maintain TSA exit agreements.
Automatically populate inventories, separate comingled data assets and transfer data via built-in application programming interface (API) integrations. Use DataMAAP’s built in ticketing or connect to third-party ticketing systems to automate data transfer processes post business approvals.
Undertake due diligence, follow data retention requirements in accordance with legal and regulatory requirements, and filter of intellectual property or commercially sensitive information prior to transfer. Redaction workflows are designed to integrate with Relativity for automated and/or data human redactions. Maintain lists and versions of separation keywords for identification and segmentation of content.
Track the movement of physical and electronic data assets in line with recordkeeping requirements. Identify and remove Redundant, Obsolete and Trivial data (ROT) post transfer. Manage obligations to any data that was not transferred in accordance with the requirements of the deal.
A global pharma company announced a M&A transaction. The global nature and duration of transition service agreement (TSA) exits meant the default approach—using manual processes to track the data migration of thousands of records—lacked sufficient governance and robust data tracking mechanisms.
As part of this project, the company deployed DataMAAP to facilitate the transfer of electronic and physical data. More than 150 users were onboarded to help keep track of data transfers
DataMAAP facilitated:
Our solution assisted the global pharma company to establish consistent workflows for data transfer approvals in alignment with TSA exits, obtain acknowledgements, and highlight any disputes. It also helped in reducing manual mechanisms and ad-hoc approvals and helped the company to streamline the data transfers process for the transaction.
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