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Speech form resolving into structured analytics bars

WYM-ACC-bodham · Conversational Analytics · formerly Talk2Data

Bodham

bodham - understanding, the moment a thing becomes known

Ask the question in plain language; get validated SQL, charts, and an answer.

Bodham turns natural-language questions into data answers. Connect a database or upload a spreadsheet, then ask what you want to know. An agentic pipeline converts the question into validated SQL, runs it, and returns interactive charts, clean tables, and a written insight summary. Saved chats, pinned charts, and voice input make exploring data conversational, putting real analytics in the hands of business users rather than only the analysts who can write the query.

Seconds

from question to charted answer

No SQL

required of the person asking

Problem

Business questions queue behind the analysts who can write SQL, so decisions wait days for numbers that took minutes to produce.

Outcome

Analytics in the hands of any business user, with the query validated and the reasoning shown rather than hidden.

How it works

  1. 01

    Connect the source

    A governed database or an uploaded spreadsheet becomes the grounded scope for questions.

  2. 02

    Convert and validate

    The question is turned into SQL and validated before it runs, not after it returns something odd.

  3. 03

    Return the answer

    Results come back as interactive charts and tables, with the query visible for anyone who wants to check it.

  4. 04

    Explain and keep

    A written summary accompanies the numbers, and useful answers are pinned and saved.

Bill of materials

This pack composes catalog agents. Same IDs as the rest of the catalog.

Systems · SAP S/4HANA · Workday · Oracle NetSuite · Snowflake · SAP MCP · Dun and Bradstreet API · dbt · Monte Carlo

Modules

  • Agentic Query Pipeline

    A question converted into validated SQL, executed, and returned with the query shown.

  • Interactive Results

    Charts and clean tables generated from the result, pinnable into a working set.

  • Insight Summaries

    A written reading of what the numbers say, alongside the numbers themselves.

  • Voice & Saved Chats

    Voice input and saved conversation history so analysis is resumable, not repeated.

Use cases

Composable Architecture · Pairs well with

Accelerators that share systems of record, exchange real-time triggers, and compose with Bodham.