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– Will Advanced Analytics deliverables need to be tested and, if so, by whom?
– Does Advanced Analytics appropriately measure and monitor risk?
– How we make effective use of the flood of data that will be produced will be a real big data challenge: should we keep it all or could we throw some away?
– Should we use data without the permission of individual owners, such as copying publicly available data?
– How do you pick an appropriate ETL tool or business analytics tool?
– What new Security and Privacy challenge arise from new Big Data solutions? Substantiate Business analytics issues and diversify disclosure of information – dealing with confidential Business analytics information.
Chart Business intelligence management and proactively manage Business intelligence risks.
– What are our best practices for minimizing Advanced Analytics project risk, while demonstrating incremental value and quick wins throughout the Advanced Analytics project lifecycle?
Find out what the related areas are that Advanced Analytics connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion.
This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Advanced Analytics thinking-frame.
Focus on Behavioral analytics results and create a map for yourself.