We’ve seen that IT organizations struggle with executing on their initiatives, and often this uncertainty stems from not having a complete picture of the IT landscape.
There is tremendous industry buzz surrounding IT Transformation. While many customers have bought into the value and benefits of IT Transformation, it is unclear how many clients have fully realized this potential. Why is this the case?
One area that we see is that IT transformation is such a complex and daunting challenge that many organizations fail just because of the enormity of the problem.
This issue may boil down to data management. While there are CMDBs and other management and monitoring tools, all of these focus on their particular area. There is also the plethora of information which any IT technician or executive must grapple with on a daily basis, wondering “Can I make sense of this information?”
As we’ve evolved our Data Center Transformation capability that same problem exists in a data center move. What information is truly needed to make appropriate analysis and decisions? What we’ve found is that working through data normalization to agree on what information is needed, and what information is NOT needed, thus saving unnecessary time collecting information which has little to no value in the greater scheme of things.
Thus focusing on what information is truly important, and ignoring the noise can allow IT executives to take action based on facts.
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Working with our partners at VMware, many customers across the globe have seen how TransitionManager can reduce risk, eliminate blind spots and complete migration projects faster with minimal disruption to operations.
IT organizations need a platform built specifically for planning, managing, and executing migrations, recovery events, M&As and other transformation projects, end-to-end.
Making decisions using data that is pieced together through a combination of spreadsheets, data exports, and email messages doesn’t provide project teams with a comprehensive understanding of compliance, security and other business requirements. That’s why TDS enhanced its rules engine, making it easy to write simple scripts that apply business rules to data, ensuring that the results will be aligned with business goals.
We continue to evolve TransitionManager’s capabilities, focusing first on what problem we are trying to solve for the customer. For enterprise architects and cloud professionals, finding the right information and leveraging the variety of tools available to plan and manage IT transformation projects is challenging and complex.