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What is Augmented Analytics? — Business Software Glossary
Understand augmented analytics and how it applies to modern business software.
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The use of AI and machine learning to automate data preparation, insight discovery, and explanation of analytics results.
Augmented Analytics is a fundamental concept in data analytics and business intelligence. It describes a method, metric, or approach used to extract meaning from data and drive better business decisions. As organizations become more data-driven, understanding augmented analytics becomes essential for teams at every level.
Traditional analytics tools like Tableau, Power BI, and Looker handle augmented analytics through specialized visualizations and query interfaces. While powerful, these tools require data engineering setup, separate licenses, and often dedicated analysts to maintain dashboards and reports.
Gufi includes built-in analytics that make augmented analytics accessible to everyone. Because your data lives inside Gufi, there is no need for ETL pipelines or data warehouses. Ask the AI for the analysis you need — charts, reports, aggregations, trends — and it creates the visualization instantly. Augmented Analytics becomes a natural part of your workflow, not a separate tool.
Frequently Asked Questions
Common questions about augmented analytics in business software.
Augmented Analytics is a data analytics concept that describes a method, metric, or approach for analyzing data and extracting actionable business insights.
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