With data center operations, equipment maintenance and software licenses consuming an excessive portion of IT budgets – companies have much to gain by optimizing their current operations.
But saving money is never easy and unfortunately companies cannot always judge their budget situation objectively without getting tripped up over common vendor and internal staff bias. Tremendous savings can be achieved by eliminating this vendor bias, bridging the boundaries of internal operating silos (facilities, IT and business) and taking immediate action.
This white paper includes:
The term “New Normal” was coined to describe the financial conditions that emerged during the global recession which followed the 2007 - 2008 financial crisis.
Dynamic organizations often need to deploy tens to hundreds of similar systems to quickly replicate IT infrastructure and increase capacity.
Customers and internal users alike expect quick, dependable access to both online sites and internal applications, and network issues can negatively impact customer satisfaction, brand reputation, and revenue.
Transitional Data Services (TDS), a global leader in cloud and data center migrations, and modernization, today announces the availability of TransitionManager 6.2. The new release provides further enhancements to improve performance and streamline migration tasks. Additionally, release 6.2 allows customers to execute digital transformation strategies with confidence, addressing critical business areas such as disaster preparedness and cloud adoption.
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.