Glossary

Augmented analytics

Augmented analytics applies AI to automate data preparation, insight discovery and explanation — shifting analysts from building queries to validating and interpreting.

Definition

Augmented analytics is the use of AI and machine learning to automate parts of the analytics workflow — data preparation, insight discovery, visualisation choice and narrative explanation — so that people spend their time on interpretation rather than on assembly. Conversational BI is the interface layer of the same idea: asking questions in plain language.

Why it matters

  • The dashboard backlog is a structural problem: demand for answers grows faster than the team that builds them.
  • Explainability has become the deciding factor — an insight nobody can justify is not usable in a regulated decision.
  • Automation without governance simply produces wrong answers faster.

How BlueHomer implements it

BlueHomer drafts analytics from governed data: it samples what you have, proposes dashboards, KPI scorecards and insight views, and learns presentation preferences over time — while publication runs through a formal approval trail and every artifact carries its lineage.

See it working on your data.

Tell us the question your teams argue about, and how many systems it spans. We will show BlueHomer answering it, with the lineage attached.

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