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Data Discovery

Holly Landis
HL
por Holly Landis
Data discovery is a process where data is collected from various sources and analyzed for business insight and patterns. Learn about its best practices.

En esta publicación

En esta publicación

What is data discovery?

Data discovery refers to the process of exploring and analyzing datasets to uncover insights, patterns, or relationships that can inform decision-making or drive business value. It involves identifying relevant data sources, cleaning and preparing data for analysis, and applying various techniques such as data visualization, statistical analysis, or machine learning to extract actionable insights. Data discovery enables organizations to gain a deeper understanding of their data assets, uncover hidden opportunities or risks, and make data-driven decisions to optimize processes, improve performance, and achieve strategic objectives.

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Holly Landis
HL

Holly Landis

Holly Landis is a freelance writer for G2. She also specializes in being a digital marketing consultant, focusing in on-page SEO, copy, and content writing. She works with SMEs and creative businesses that want to be more intentional with their digital strategies and grow organically on channels they own. As a Brit now living in the USA, you'll usually find her drinking copious amounts of tea in her cherished Anne Boleyn mug while watching endless reruns of Parks and Rec.

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The data never lies.
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data de-identification tools
The data never lies.
Find the right data de-identification tools that can help companies derive value from their datasets without the risks of using personally identifiable information.
Start here