• Las Vegas,
  • Santa Ana, CA
    Reston, Virginia
  • Edinburgh, UK
    Waterloo, Canada
  • Pune, India

Platform Migrations

We have seen in the market that certain perceived risks and impacts of database migrations cause some organizations to delay the deployment of new technologies, or even to delay purchasing new technology. Such delays can be hugely detrimental to business effectiveness because older hardware may require more hands-on maintenance, generally have lower performance and be more prone to failure. Additionally, we have seen many organizations delay modernization to the point of maintaining out-of-support environments leading to risk and compliance exposure.

MLOGICA’s platform migration practice is a repeatable and systematic structured architecture methodology built on best practices which helps ensure predictability and success of migration projects.

Following a structured architecture methodology is different from building a solution in an ad-hoc fashion in that it requires a plan upfront for much of the work that needs to be done (Waterfall). platform-migrations The application of MLOGICA’s methodology application ensures that comprehensive stakeholder management is undertaken to develop an architecture which addresses the needs of all affected parties in addition to the stated business objectives.

The MLOGICA platform migration practice is a process of migrating all layers of the computing platform, not just the applications that support business functionality. This can be a complex exercise that will have a greater impact on IT operations than other strategies would.

MLOGICA’s platform modernization will improve system effectiveness, create fiscal efficiencies and provide the right level of security to customers’ systems and information.

STAR*M, with our best practices methodologies and our team of experts, will support your business through the planning, migration, and validation stages of the project enabling your organization to maximize customization and speed-to-market while ensuring data integrity.