Big data analytics describes the process of uncovering trends, patterns, and correlations in large amounts of raw data to help make data-informed decisions. These processes use familiar statistical analysis techniques—like clustering and regression—and apply them to more extensive datasets with the help of newer tools.
Big data allows you to update existing products/services while innovating new ones. The large volume of data collected helps businesses identify what fits their customer base. Information on what others think of your products/services can help in product development.
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Big data analytics describes the process of uncovering trends, patterns, and correlations in large amounts of raw data to help make data-informed decisions. These processes use familiar statistical analysis techniques—like clustering and regression—and apply them to more extensive datasets with the help of newer tools.
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Big data allows you to update existing products/services while innovating new ones. The large volume of data collected helps businesses identify what fits their customer base. Information on what others think of your products/services can help in product development.
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