Self-Service Analytics

Ask Any Question About Your Data. Get Instant Answers.

Upload an Excel or CSV file and ask questions in plain language. AlgForce AI interprets the data structure, runs the analysis, and responds with charts, tables, metrics, and explanations.

Ask spreadsheet questions in plain English instead of writing formulas or SQLGet chart, table, and metric answers from uploaded business dataEnable self-service analysis for non-technical teams and managers
VIP
What you get

Deliverables you can use immediately

  • Instant answers to business questions about uploaded spreadsheet data
  • Chart, table, and metric responses that are easier to interpret and share
  • A self-service analysis workflow for managers and operational teams
  • A faster bridge from raw spreadsheet files to usable insight
Why this feature

What natural-language data query enables

Query Excel and CSV data in plain English with AlgForce AI. Ask natural-language questions, get charts and tables, and explore spreadsheet data without SQL.

Ask spreadsheet questions in plain English instead of writing formulas or SQL
Get chart, table, and metric answers from uploaded business data
Enable self-service analysis for non-technical teams and managers
Overview

What natural-language data query enables

AI Data Query helps teams interact with spreadsheet data conversationally. Instead of building pivots, formulas, or BI queries from scratch, users can ask direct questions and receive structured answers.

Useful for recurring business questions hidden inside spreadsheet exports
Improves data access for teams that do not want to rely on SQL or BI tooling
Speeds up exploratory analysis before users move into deeper reporting workflows
Workflow

How it works

Move from raw input to polished output in a guided, repeatable workflow.

  1. 1

    Upload your spreadsheet data

    Use Excel or CSV exports from sales, finance, operations, surveys, or other business workflows.

  2. 2

    Ask the question in plain language

    Describe the answer you need as you would to an analyst, with no formulas or SQL required.

  3. 3

    Review the answer and go deeper

    Inspect the returned chart, table, or metric and continue asking follow-up questions to refine the result.

Capabilities

Core capabilities

Built to speed up analysis, creation, and delivery without extra manual work.

Plain-language querying

Ask business questions directly instead of building formulas, pivots, or database queries by hand.

Structured answer formats

Receive the response as a chart, ranked table, summary metric, or explanatory text depending on the question.

Follow-up analysis flow

Drill down into segments, periods, products, or regions through conversational follow-up prompts.

Business-user accessibility

Make spreadsheet analysis more accessible for teams that need answers quickly but do not work in technical analytics tools.

Use cases

Who it is for

Common scenarios where teams use this feature to save time and improve output quality.

N

Non-technical Managers

Upload recurring team data and ask direct questions about completion, performance, backlog, growth, or churn without waiting on a dashboard build.

S

Sales Analysts

Explore CRM exports through questions about deal size, win rates, rep performance, and trends without manually rebuilding pivots every time.

P

Product and Operations Teams

Ask focused questions about usage logs, support data, or survey spreadsheets and quickly identify meaningful patterns.

FAQ

Frequently asked questions

Answers to the questions users ask before they start.

Do I need SQL knowledge to use AI data query?+

No. The feature is designed so users can ask questions in normal business language instead of writing technical queries.

What kinds of answers can it return?+

Depending on the question, it can return charts, tables, summary metrics, and text explanations based on the uploaded spreadsheet data.

Why is this helpful for teams without BI tools?+

It lowers the barrier to analysis by letting users get useful answers from spreadsheets without building a separate dashboard or data model first.

Can it be used before creating a full AI report?+

Yes. Many teams use data query to explore the dataset first, validate the key questions, and then move into a larger report workflow.

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AI Data Query for Excel | Ask Questions About Spreadsheet Data

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