DataMAAP
Efficient data transfer between buyer and seller is critical to a successful transaction. Leveraging advanced technologies and our proven methodology, DataMAAP assists organizations by using AI during M&A to facilitate and streamline the data transfer process.
Introducing DataMAAP
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.
Benefits:
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Client stories
DataMAAP in action
Separation/integration management office
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.
Information technology/services
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.
Legal and compliance
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.
Records management
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.
DataMAAP workflow
Why choose DataMAAP
Deloitte Streamlines and Leverages AI for a successful M&A transaction
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