Diwo
Glossary · Analytics

What is Augmented Data Analytics?

Augmented Analytics is an approach of data analytics that employs the use of machine learning and natural language processing to automate analysis processes normally done by a specialist or data scientist. The methodology provides tools and software that democratize analytical capabilities — including recommendations, insights, and query guidance — across organizations.

Why it matters

Augmented data analytics enhances human interaction with data at contextual levels, helping users identify relevant datasets, formulate better questions, and rapidly discover actionable business insights. By automating traditionally specialist-driven analytical work, it collapses the time between question and answer — a prerequisite for enterprise-wide data literacy and decision intelligence.

See it in practice

See how Diwo operationalizes Augmented Data Analytics.

Read the decision-intelligence playbooks that put this concept to work at Fortune 50 scale.

Browse solutions

Related concepts