![]() Defining the two words eliminates confusion when talking about the two groups of people who interact with the product.īusiness metadata keeps an organization well aligned. Inside, current and new employees can find information related to the company’s goal of selling $1M worth of product to purchasers within the next twelve months.Īccording to the business terminology at this company, "purchasers" are defined as the buyers of the baby food, while “consumers” is used when referencing the babies who eat the food. It is in contrast to technical metadata, which is data used in the storage and structure of the data in a database or system.”Ī natural baby food maker stores its business metadata in a metadata repository. From Wikipedia: “It provides information authored by business people and/or used by business people. Without technical metadata, however, the data workers at the granola bar company would lack visibility into the source and geographic location of sales, hindering their ability to run analysis across different states and convenience stores to compare where performance is strongest and weakest.īusiness metadata adds business context to data. They can use the specificity the technical metadata provides to compare sales across different states. Technical metadata within the data management platform helps identify exactly where sales originated, such as specific 7/11 convenience stores in the U.S. Technical metadata includes information such as:ĭata scientists at a granola bar company are analyzing sales data for its line of products. Technical MetadataĪccording to the University of Warwick, “technical metadata provides information on the technical properties of a digital file or the particular hardware and software environments required in order to render or process digital information.” Let’s explore these various types of metadata with examples, and recognize how they help you understand your data better. Generally speaking, the more valuable the information asset, the more critical it is to manage the metadata about it.” Gartner says, “It is metadata that turns information into an asset. There are many different types of metadata, all of which are useful in unlocking the value of your data assets. Metadata helps answer the "what, where, when, how, who" of data. A Metadata is a collection of structured information that describes the source, context, purpose, characteristics, and other extended information about the data asset itself.
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