Analytics usage trends are placing new demands on rigid data warehouses. Organizations need to incorporate more relevant data and have self-service access to that data. Additionally, they must be able to do more than just spot historical trends. It is increasingly essential to add predictive and prescriptive functionality in applications to improve and automate decision making.
The ultimate goal is to extract greater value from the data to facilitate, accelerate, or automate business decisions. The need for a hybrid data warehouse architecture that
supports all deployment models requires a solution with special
characteristics. This is an area where IBM can help.
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