Data discovery

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Data discovery is a business intelligence (BI) process for creating and using interactive reports and exploring data from multiple sources. The information technology market research firm Gartner promoted it in 2012.[1]

Definition[edit]

Data discovery is a user-driven process of searching for patterns or specific items in a data set. Data discovery applications use visual tools such as geographical maps, pivot-tables, and heat-maps to make the process of finding patterns or specific items rapid and intuitive. Data discovery may leverage statistical and data mining techniques to accomplish these goals.

Data discovery is a type of business intelligence in that they both provide the end-user with an application that visualizes data. Traditional BI covered dashboards, static and parameterized reports, and pivot tables. Visualization of data in traditional BI incorporated standard charting, key performance indicators, and limited graphical representation and interactivity. BI is undergoing transformation in capabilities it offers, with a focus on end-user data analysis and discovery, access to larger volumes of data and an ability to create high fidelity presentations of information.

References[edit]

  1. ^ Kern, J., (2013), Data Discovery, SaaS Lead BI Market Review, Information Management/