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IT change and release volume is rising at a rapidly escalating rate, driven by Agile Development, Virtualization, Cloud and Globalization. Unfortunately, for many, the antiquated technology and manual processes for planning and executing changes are exactly the same as a decade ago. High- and medium-risk changes typically require input from dozens of experts to answer questions such as what
systems and applications are affected by the change and when can a change be made without
Application discovery and dependency mapping (ADDM) tools have evolved to a level of maturity where they can truly identify and model how elements in the IT landscape relate to one another down to the configuration item level and generate a real-time dependency mapping: the heart of what a CMDB is meant to be. It's time for a paradigm shift in how change management is done.
Leveraging the data in the CMDB, automated change and release management tools can be applied to identify what applications and business processes will be affected by a change, when a change can be performed without negative impact and when resources are available to perform a change. This can transform change management from a reactive, manual, resource and time-intensive process to a proactive, streamlined, highly automated process, with demonstrated ability to reduce the time required for the change process by 70% to 80% and saving millions of dollars per year.
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