Conversational Analytics
The short answer · 12 words
In short
Querying and investigating structured data through questions and queries in natural language.
Flow-alerta.cab (2026): Conversational Analytics. https://flow-alerta.cab/en/glossar/conversational-analytics. Editorially reviewed on: 09 October 2026.
How much detail would you like?
Practical
Relevant for faster technical queries without independently writing each SQL query.
Example scenario: Sales asks about the quarterly turnover of a region and then about the most important products.
Store consistent key figures and tested sample queries; compare results with existing reports.
At a glance
- Core
- A system translates technical questions into data queries or analysis operations and explains results. Data context, key figure definitions and access rights are crucial. Dialogue-based BI is meant here; the term can also refer to the analysis of recorded conversations elsewhere.
- Use
- Relevant for faster technical queries without independently writing each SQL query.
- Example
- Example scenario: Sales asks about the quarterly turnover of a region and then about the most important products.
- Limits
- Misinterpret metrics; take generated SQL queries unchecked; ignore aggregations, permissions, and query costs.
In context
Questions about this term
Does it replace data modeling?
No.
Are answers automatically correct?
No.
Can SQL be made visible?
Depending on the product, yes.
All details and background
A system translates technical questions into data queries or analysis operations and explains results. Data context, key figure definitions and access rights are crucial. Dialogue-based BI is meant here; the term can also refer to the analysis of recorded conversations elsewhere.
ELI5 – Explained simply
You ask your data table like a specialist and can ask for the result.
Why it matters in practice
Relevant for faster technical queries without independently writing each SQL query.
Example
Example scenario: Sales asks about the quarterly turnover of a region and then about the most important products.
Pitfalls and limits
- Misinterpret metrics; take generated SQL queries unchecked; ignore aggregations, permissions, and query costs.
Origin & history
Built on Natural-Language Interfaces to Databases; LLM-based data agents continued to disseminate dialog-oriented BI.
Use in mid-sized companies
- Store consistent key figures and tested sample queries; compare results with existing reports.
Related terms
- Text-to-SQL
- Business intelligence
- Semantic layer
- Data agent
- SQL
Matching Flow-alerta service
AI assistants & automationData integration & search – create understandable and verifiable access to company key figures.Matching tool / use case
View use casesTool: BigQuery Conversational Analytics; Use Case: dialog-based sales analysis.Sources
- docs.cloud.google.comGoogle Cloud, Conversational analytics overview
Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: