Unstructured data is any piece of information that does not fit into a predefined format, like a spreadsheet row or a database table. Emails, customer reviews, video files, and open-ended survey responses all fall into this category. Because it lacks a fixed structure, computers cannot search or sort it the way they can a table of numbers.<\/p>\n\n\n\n
Most of what organizations collect today falls into this bucket. Unstructured data already accounts for close to 80 to 90 percent of enterprise data<\/a>, and that share keeps climbing as businesses gather more feedback, conversations, and media.<\/p>\n\n\n\n In this blog, we will learn what unstructured data means, the types you will run into most often, and how to turn it into decisions your team can act on.<\/p>\n\n\n\n\n\n Unstructured data is information that has no predefined format or organization, so it does not fit cleanly into the rows and columns of a traditional database. A data model, the blueprint that tells a database how to store and relate information, simply does not apply to it.<\/p>\n\n\n\n Most unstructured data is text: emails, contracts, chat transcripts, and survey comments. It also includes photos, audio recordings, video, and sensor readings. None of these follow a consistent format, so a program cannot query them the way it queries a spreadsheet.<\/p>\n\n\n\n That does not make unstructured data less valuable. This is often where the most useful context lives: the specific complaint behind a low satisfaction score, or the tone behind a product review. A few things set it apart from other data types:<\/p>\n\n\n\n Data generally falls into one of three categories, and the differences matter for how you store and analyze it.<\/p>\n\n\n\nWhat is unstructured data?<\/strong><\/h2>\n\n\n\n
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Structured vs. semi-structured vs. unstructured data<\/strong><\/h2>\n\n\n\n