DATUM launches Information Value Management® for M&A -- providing the industry's first Data Governance Framework for M&A integration
ANNAPOLIS, Md., Oct. 1, 2018 /PRNewswire/ -- Today DATUM, a Leader in Data Governance software, introduces another outcome-focused use case to the fast-growing data governance and metadata market.
The Data Governance M&A Framework is a product of DATUM's more than 500 years of practitioner experience and lessons learned from over a dozen Divestitures, Mergers & Acquisition projects with some of the World's largest enterprises. The framework has been applied across multiple industries including consumer products, chemicals, manufacturing, food & beverage, and pharmaceuticals where data governance and metadata management are becoming mission critical capabilities.
With this new use case, DATUM empowers Post-Merger Integration teams with a framework to ensure success. Information Value Management®, an industry-leading data governance platform, delivers a holistic view of the data most critical to successful integrations and provides a collaborative framework to reduce effort and risk along the way. The framework promotes data governance best practices, accelerates a step-by-step plan based on proven M&A integration methodology, and allows integration teams to jumpstart the integration work.
Fierce market and competitive dynamics fuel the need for larger enterprises to grow through M&A activities. According to a 2018 Deloitte study, nearly 70% of executives at US-headquartered corporations and 76% of leaders at domestic-based private equity firms say deal flow will increase in the next 12 months1. When these opportunities arise, speed to integration is paramount. One of the many challenges presented by an M&A Post-Merger Integration (PMI) is bringing disparate data and systems together.
"Companies with inorganic growth strategies have quickly recognized that metadata management is the fastest path to a unified view of the enterprise and data governance is the template for mobilizing the new digital core," says Will Crump, DATUM President & CEO.
Enterprises that rely on M&As to compete have leveraged Information Value Management® for M&A to quickly assess integration scope and complexity, plan and organize the PMI team, manage risk, allocate resources, manage work tasks, and dynamically collaborate for a successful divestiture or merger & acquisition.
Information Value Management® for M&A provides:
- A platform that is purpose-built with extensive domain expertise to discover, understand, connect and measure data value for your organization.
- Access to a business-first methodology that naturally integrates metadata discipline into business behavior through governing the business rules, processes and metrics that are most critical to the business and the integration.
- The ability to connect analytics based decision-integrity with master data discipline in order to accelerate data integration, reduce risk, and create cost saving opportunities.
- A content-rich engagement model with on-call practitioner support, self-help and a library with essential resources designed explicitly to accelerate execution.
For more detail go to Information Value Management® for M&A
About DATUM
Recognized as a Leader in The Forrester Wave™: Data Governance, Stewardship and Discovery Providers, and as a Leader in the Gartner Magic Quadrant for Metadata Management Solutions, DATUM drives decision integrity, empowering organizations to discover the right data and make the right decisions faster. By focusing on what data matters and why, DATUM's proven data governance and stewardship platform, Information Value Management®, delivers business value insights. Today, Fortune 500's trust DATUM as the data governance system of record to improve operational efficiency, deliver greater analytical insights and simplify compliance and regulatory reporting. To learn more, visit www.datumstrategy.com.
Media Contacts:
Marie Crump, DATUM LLC
[email protected]
1 "The state of the deal, M&A trends 2018", Deloitte Development LLC, 2017
SOURCE DATUM
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