The Coming Divide in Defense: Federation or Fallout Under DoDI 5000.97
Share: The defense industry is entering a pivotal phase of transformation. With the release of DoDI 5000.97, the U.S. Department of Defense (DoD) has made

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Share: The defense industry is entering a pivotal phase of transformation. With the release of DoDI 5000.97, the U.S. Department of Defense (DoD) has made
Accelerate your transition, eliminate disruption with a tool modernization solution that scales with you.
The current global competitive environment presents a unique challenge for M&A. While strategic acquisitions remain a powerful lever for growth, with data as the ’new oil’ post-merger success hinges on seamlessly integrating the acquired entity’s data.
Retiring outdated systems, and adopting a modern tech stack to mitigate change in the new structure has become one of the top priorities on the minds of executives.
However, manual data migration is a recipe for disaster – it’s slow, error-prone, and disrupts core operations. If you need a migration tool which is architected for scale, and built to empower teams optimize their application landscape non-disruptively – you’ve reached your destination.
What can go wrong post-merger when migrating data
Migrating data and business-critical applications can be a complex process. The transition necessitates changes to existing workflows and business processes, and if not handled well – can lead to system outages, lost productivity, and ultimately bring bad news for your bottom line.
Merged entities often have sprawling data landscapes with inconsistencies, redundancies, and outdated information. The sheer volume of data can make it difficult to prioritize and select what’s truly valuable for the merged organization.
Failure to identify and address sensitive data properly can lead to breaches and hefty fines. These breaches can be financially devastating, with costs associated with remediation, regulatory fines, and potential lawsuits.
There’s no “one size fits all” solution. Assess the complexity of your data landscape (volume, variety, disparity) and the applications involved before the project.
Look for a tool that allows you to migrate data and applications in a phased approach. The tool must preserve data context, history, relationships and be able to restart migrations from any point.
Ensure the tool adheres to industry regulations and data privacy laws (GDPR, CCPA etc.). Look for robust security features like encryption, reconciliation, and reverse data-sync capabilities.
Consider the volume of data you’ll be migrating and the ongoing data integration needs. The tool should scale efficiently to handle your current and future data demands.
Prioritize solutions with a team of seasoned migration experts. Look for teams with proven experience in handling complex M&A integrations, and a deep understanding of your specific industry’s data challenges.
How non-disruptive application modernization benefits companies after an M&A transition
A non-disruptive approach to modernize eliminates outages for good, allowing the merged entity to identify and capitalize on cross-selling opportunities more quickly.
This translates to increased revenue potential and a faster return on investment from the M&A transaction.
Agile, non-disruptive tools eliminate the need for IT teams to work extended hours or bring in additional staff to ensure business continuity during downtime.
Moreover, such tools utilize efficient data transfer protocols. This can reduce the burden on on-premise data centers – reducing overall maintenance costs.
Fit-for-purpose tools, especially cloud-based ones often have smaller footprints and can be consolidated onto fewer servers.
Additionally, a non-disruptive migration tool minimizes the need for expensive downtime procedures and data center maintenance during the transition.
What makes OMM the preferred choice for M&A data migration
Turn the necessary data migration task into a benefit – kickstart your digital transformation journey by using it as an opportunity to get rid of old, unneeded data baggage and reshape required data into a more useful format.