Government Application Rationalization Playbook implemented in Alfabet

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Presented by

Jeff Chancellor

About this talk

The US Federal Government published an Application Rationalization Playbook to assist agencies on maximizing their IT investments. The playbook was developed by the Cloud and Infrastructure Community of Practice (C&I CoP) as a practical approach for agencies to get started on their application rationalization journey. The playbook is based on industry best practices and adaptable for ready implementation within COTS Enterprise Architecture tools and IT Portfolio Management solutions. Software AG Government Solutions uses its Alfabet EA/ITPM solution to organize and rationalize large application portfolios across the US Government and comes configured to support Application Rationalization and Consolidation. Alfabet is easily adjustable via configuration to be tailored to not just the CoP playbook but also further to agency specific assessment and scoring mechanisms. In this webinar, we will examine the six phases in the playbook and demonstrate how Alfabet supports each phase. As a workflow-enabled, fully integrated repository, Alfabet can incorporate metrics and measures from other systems to provide many perspectives that lead to rationalization activities or projects. If you are an Application Portfolio Manager or an Enterprise Architect responsible for assessment and scoring for applications, you should plan on attending this webinar.
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Software AG Government Solutions delivers leading edge software that helps the federal government connect existing, new and future technologies together whether on premise or in the cloud. Leveraging our Government Integration Hub, webMethods, and our strategic IT portfolio platform, Alfabet, along with our highly effective “Prove IT First and Prove IT Fast” approach to solving mission critical IT challenges, we specialize in helping customers optimize large scale, mission critical solutions across complex extended enterprises. Learn more at www.softwareaggov.com