Business opportunity
Explore tools for querying, explaining and presenting data. Review calculations and access controls with the data owner.
These are provider-described capabilities and proposed applications. We have not independently tested the tools or verified business outcomes.
Showing 20 of 20 sourced listings
Alphabetical, not rankedData Analysis
Provides AI-assisted campaign data analysis and workflow tools aimed at media agencies and data providers.
Help an agency organise a campaign-analysis brief from its authorised reporting data.
Check first: Check attribution assumptions and data completeness before interpreting a campaign finding.
Source reviewed
Data Analysis
Connects business data and automates analytical workflows with AI-assisted insights.
Help an analyst document and review a repeatable data preparation workflow.
Check first: Inspect transformations and source quality before using an automated result in a decision.
Source reviewed
Data Analysis
Uses AI to analyse data and create editable dashboards and reports.
Turn an approved spreadsheet export into a draft reporting dashboard.
Check first: Check every chart’s aggregation and labels against the source spreadsheet before presenting it.
Source reviewed
Data Analysis
Adds generative AI experiences for analysing Power BI data, creating reports and assisting with DAX.
Prepare a human-reviewed reporting workflow for a team already using Power BI.
Check first: Some experiences have different availability or preview status; check the current requirements.
Source reviewed
Data Analysis
Lets teams configure domain-specific AI agents that answer natural-language questions about business data.
Prepare a question-and-answer workspace for one approved operational dataset.
Check first: Curate business definitions and example queries, then verify answers against the underlying data.
Source reviewed
Data Analysis
Brings analytics, machine-learning models and AI agents into a governed enterprise data platform.
Help a data team document an analytical workflow and its review checkpoints.
Check first: Platform governance does not replace validation of data quality or model performance.
Source reviewed
Data Analysis
Connects business data with analytics tools and AI agents for asking questions and analysing results.
Organise recurring operational data into a reporting workspace for staff review.
Check first: Confirm dataset access and metric definitions before sharing AI-generated answers.
Source reviewed
Data Analysis
Automates feature engineering, model selection and tuning while producing documentation for trained models.
Evaluate a predictive-model baseline on an authorised, well-defined business dataset.
Check first: Use held-out evaluation data and inspect potential leakage before relying on predictions.
Source reviewed
Data Analysis
Provides conversational analytics and shared data context for teams working with business information.
Organise recurring business questions in a shared analytical workspace.
Check first: Agreed metric definitions and source permissions are needed before interpreting answers.
Source reviewed
Data Analysis
Provides an AI workspace that includes data analysis and the creation of dashboards and presentations.
Turn an authorised business dataset into a draft analytical briefing for review.
Check first: Validate calculations and dataset assumptions before sharing a generated analysis.
Source reviewed
Data Analysis
Uses Gemini to answer natural-language data questions through Looker’s semantic modelling layer.
Help a reporting team explore questions using its approved metric definitions.
Check first: Google warns that output can be factually incorrect; validate results before using them.
Source reviewed
Data Analysis
Provides a no-code workflow for building predictive machine-learning models and explaining their outputs.
Explore whether a labelled business dataset can support a useful prediction task.
Check first: Evaluate performance on unseen data; an easy model-building interface does not prove accuracy.
Source reviewed
Data Analysis
Provides embedded analytics with an API and AI-assisted access to business data.
Plan an operational analytics view inside an existing authorised application.
Check first: Inspect tenant access controls and verify metrics before exposing an embedded dashboard.
Source reviewed
Data Analysis
Provides a natural-language AI assistant that combines structured and unstructured business information for analysis.
Help a team define questions that connect its reports with supporting business documents.
Check first: Check source access and verify answers against the records they rely on.
Source reviewed
Data Analysis
Uses AI to import business data, analyse it in plain language and build spreadsheet-style reports.
Prepare a repeatable report from approved exports and document tables.
Check first: Check imported values and calculations before refreshing or sharing a report.
Source reviewed
Data Analysis
Embeds AI-assisted data questions and explanations into products using governed metric definitions.
Plan a customer-facing analytics feature for a product’s existing data.
Check first: Test tenant isolation and row-level access before exposing answers to customers.
Source reviewed
Data Analysis
Converts natural-language business questions into SQL over structured Snowflake data using a semantic model.
Prototype a reviewed question interface for an existing reporting dataset.
Check first: Snowflake recommends transitioning to Cortex Agents; review that guidance and validate generated SQL before use.
Source reviewed
Data Analysis
Uses a conversational assistant to explore connected Tableau data and create visual analyses.
Help an existing Tableau team prepare a reviewed set of dashboard questions.
Check first: Confirm feature availability and check generated visualisations against the underlying data.
Source reviewed
Data Analysis
Combines automated analysis and machine learning to investigate patterns in company data.
Prepare a review of possible drivers behind a change in a business metric.
Check first: Check data quality and alternative explanations before interpreting a pattern as a cause.
Source reviewed
Data Analysis
Provides a conversational AI analyst within ThoughtSpot Analytics that works with governed business data.
Help a team define and review natural-language questions against an existing analytics model.
Check first: Check metric definitions and the reasoning behind an answer before acting on it.
Source reviewed