All data is useful; maybe not

Cloud transitions fail most often because the data used is not the most relevant, both when designing the solution and managing change. What does relevant data mean? How do we know what data is relevant and what is not? How should data be triaged and prioritized? Relevance implies that there is a level of focus brought by comparing data to a set of criteria. The criteria used must eliminate extraneous noise and unwanted distractions. Throughout this book, it is often stated that the simultaneous alignment of strategy, economics, technology, and risk is critical to success. These four segments become the criteria for both filtering and communicating solution data. To correctly triage and prioritize information, the data must have a significant impact across all four segments. Any data that does not impact all four segments simultaneously should be addressed at a later stage or as part of implementation planning. An example of this may include NeBu Systems' interest...