What is Data Discovery?

Learn more about unlocking the true potential of your text analysis with Data Discovery.

Trish Pencarska avatar
Written by Trish Pencarska
Updated over a week ago

Data Discovery is a visualization tool that takes raw data and converts it into appealing representations. These visualizations are not only informative and engaging - they also provide you with immediate value from your data upload.

Giving you a fast snapshot of the key trends in your data, with Data Discovery you can start unlocking the hidden relationships and patterns, all while effortlessly navigating through a user-friendly interface.

The visualizations generated by Data Discovery offer a high-level summary, indicating which areas might require further investigation in Explore.

The key benefits of Data Discovery

Increasing efficiency by reducing time and effort

Data Discovery simplifies and accelerates data analysis, saving you time and effort. With its intuitive interface, you can upload the data in minutes. By streamlining the analysis process, Data Discovery enables you to gain actionable insights quickly.

Enhancing understanding to aid with better decision-making

Data Discovery empowers better decision-making that drives your business forward. It visualizes complex information in engaging ways, facilitating understanding and collaboration.

Enhanced communication with your stakeholders

Whether presenting to the board or sharing insights with clients, Data Discovery provides compelling visualizations that leave a lasting impact on your text data and measurable metrics.

Standard English

Data Discovery uses Standard English comparison as default. Standard English models normal general language use from a very wide range of topics and backgrounds.

Standard English was created to give users the ability to get value from a single language source, providing a new methodology for comparing text and analyzing unstructured data to deliver meaningful insights.

To learn more about navigating your Data Discovery results click here.

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