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IntroductionManaging and utilizing large amounts of data – both structured and unstructured – to make smart business decisions, is easier said than done. Organizations need to get the maximum value/returns from their data to make real-time decisions. To facilitate this, the data mart approach, which stores content or information that belongs to a specific department or subject or area of operation in a company, can be beneficial. It contains clearly-defined and curated data, which reduces the amount of information to be handled and used to make informed business decisions. |
Data Mart is a subset of a Data WarehouseThere are many ways that companies can store their information, which empowers them to analyze the data and make decisions based on hard facts. A data warehouse stores large volumes of data and information of the entire organization, whereas, a data mart is a subgroup or a subset of the data that is often contained in the warehouse. If a data warehouse comprises information of the production, operations, research and development, accounting and finance, and sales and marketing departments/teams in a company, each data mart will typically house information regarding a particular department/team. For example, the sales figures of a specific business unit are the type of information which will be stored in a data mart as compared to the sales figures of all departments, which will be stored in a data warehouse. A data mart is, therefore, limited in its scope and application and can be created using existing information in a data warehouse. However, a data mart can also be developed using other/external sources of information, which is not stored in the warehouse.
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Advantages of developing a Data Mart
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