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data discovery platform

Contributor(s): Matthew Haughn

A data discovery platform is a complete set of tools for the purpose of detecting patterns, and those outlier results outside of patterns, in data. Data discovery is a business intelligence-driven process, focused on finding patterns relevant to businesses, providing insights to help make informed decisions and identifying opportunities to capitalize on.

Discovery of data is an iterative process, so it does not require a complete model be constructed at the start of analysis. Before data can be properly analyzed it must be prepared. This requires someone with specific skills in handling and formatting data, often a data scientist. Data discovery may help analysts understand data patterns and trends through data visualization and advanced guided analytics.

The visualization methods are typically numerous, offering different ways for analyst to inspect data so that more patterns are seen. While machine vision can be used to pick up on patterns as well, data discovery platforms often rely on the natural inclination of humans to find patterns visually.

Further delving into the meaning of the patterns is the stage of complex guided analysis. These functions enhance pattern finding with machine learning capabilities and help analysts glean extra statistical information from data.

WiPro is the maker of a set of data discovery tools specifically called Data Discovery Platform. Some other makers include Domo, Alteryx Connect, GoodData Enterprise Insights Platform, IBM Watson Explorer, Informatica LLC, Microsoft Power BI, Information Builders WebFocus, MicroStrategy Desktop Client, OpenText Encase Risk Manager, Oracle Big Data Discovery, Qlik Sense, SalesForce Einstein Discovery and SAS Business Dynamics.

This was last updated in July 2018

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