Data warehousing, BI, and analytics, in general, are undergoing profound changes resulting from the always-on business environment that is redefining organizational requirements pertaining to how data is collected, processed, and used. So much data is generated so quickly that it has sparked the advent of new — or, if you’re in an argumentative mood, at least revised — data management and data analysis technologies and practices, which are beginning to garner increasing attention by organizations seeking to take advantage of their huge data assets. I frequently talk to people whose organizations are drowning in data. Web data acquired from personalization, advertising, marketing, and other CRM activities is swamping many organizations. Contact and call center interactions …

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