Introduction A steady stream of new technology – software, systems, processing platforms, and more – enables companies to collect and store massive amounts of data, much of it in the cloud. In turn, that data is cleansed, integrated, and analyzed to fuel analytics and various types of automation to do important work. In this way, data has become one of an organization’s most critical assets, and – like other assets – the more ways it can be leveraged, and the longer it remains useful, the more valuable it is. But, more often than not, data is not used to its full potential. Some data is siloed in a particular system or application, and not shared widely across all the tools that could use it to answer a wide range of questions. In other cases, data is only used at a moment in ti

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