Data exists to support systems, analytical, and management processes. However, the existence of data alone doesn’t ensure that these processes can be undertaken seamlessly. A seamless undertaking depends heavily on how useable, or meaningful a dataset is, and on how well the processes that created the dataset are understood. Every company today has some level of data “baggage”. Data baggage is made up of all those legacy systems, data stores, and reports that are heavily relied on, but whose domain knowledge has been slowly lost over the years.
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