Self-service analytics

Analytics without the analyst bottleneck

Give every team self-serve access to data. Ask questions in plain English, get AI-generated dashboards, and share governed metrics — no SQL required.

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Quick answer

Basedash is a self-service analytics platform that lets non-technical teams ask data questions in plain English, get AI-generated dashboards, and access governed metrics — without SQL, analyst tickets, or spreadsheet exports.

Before and after Basedash

What changes when your team can ask data questions directly.

Ticket to the data team, wait 3 days

Ask a question, get the answer in seconds

Spreadsheets with stale exports

Live dashboards connected to your warehouse

Conflicting numbers across teams

Governed metric definitions everyone shares

SQL required for every question

Plain English queries with AI-generated SQL

Every team, one platform

From marketing to finance, every team gets self-serve access to the data they need.

Marketing

Marketing teams track campaign ROI, attribution, and funnel conversion without waiting for analyst support.

"What was our cost per lead by channel last month?"

Sales

Sales leaders monitor pipeline health, rep performance, and forecast accuracy in real time.

"Which deals are at risk of slipping this quarter?"

Product

Product managers measure feature adoption, retention cohorts, and user behavior without writing SQL.

"What is the adoption rate for the new onboarding flow?"

Operations

Operations teams track SLAs, capacity, and process efficiency with live dashboards.

"Show me our support ticket resolution time trend"

Finance

Finance teams monitor MRR, churn, expansion revenue, and unit economics from a single source of truth.

"What is our net revenue retention by cohort?"

Executives

Leadership gets AI-generated briefings on key metrics without scheduling a meeting or opening a spreadsheet.

"Give me a weekly company health summary"

Built for self-serve

Everything non-technical teams need to explore data independently.

Natural language queries

Ask questions in plain English. The AI generates SQL, runs it against your warehouse, and returns charts and summaries.

AI-generated dashboards

Describe the dashboard you need and Basedash creates it. No drag-and-drop builder, no SQL, no configuration.

Governed metrics

Define business metrics once — MRR, churn rate, active users — and the AI uses those definitions consistently across every query.

Automated insights

Basedash proactively surfaces trends, anomalies, and opportunities in your data. Get daily briefings without asking.

Broad data connectivity

Connect 750+ data sources including warehouses, databases, and SaaS tools. Ask questions that span your entire data stack.

Role-based access

Control who sees what. Basedash supports team-level permissions and inherits your warehouse's access controls.

Ask anything about your business

Get instant answers, uncover important trends, and make confident decisions faster.

Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Sales Which organizations that have not converted to paid are the most active? Marketing What is our blended cost per lead and cost per acquisition by channel? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Marketing How many deals or opportunities are in our current campaign from a specific region? Sales What accounts had the largest expansions this quarter? Marketing Which campaigns or channels drove the most leads and conversions this month? Product Which cohorts have the highest week-8 retention? Operations Show customers with at least two visits or repeat usage in the last month. Engineering What are the most common errors this month, and what endpoints are causing them? Operations Surface users who recently hit errors or experienced slow response times. Marketing Which categories or segments contributed the most revenue or transactions? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Product Are there any features we added recently that increased engagement? Engineering Fetch IDs created in a given month for a specific provider or integration. Operations Which tickets are trending by category and time to resolution? Data & Analytics Show me revenue and subscription growth. Sales Which accounts are a churn risk? Product Did anything else spike when a specific feature usage increased? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Sales Which opportunities are stuck beyond the expected stage duration? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Sales List all workspaces with an upcoming renewal in the next month. Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Sales Which organizations that have not converted to paid are the most active? Marketing What is our blended cost per lead and cost per acquisition by channel? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Marketing How many deals or opportunities are in our current campaign from a specific region? Sales What accounts had the largest expansions this quarter? Marketing Which campaigns or channels drove the most leads and conversions this month? Product Which cohorts have the highest week-8 retention? Operations Show customers with at least two visits or repeat usage in the last month. Engineering What are the most common errors this month, and what endpoints are causing them? Operations Surface users who recently hit errors or experienced slow response times. Marketing Which categories or segments contributed the most revenue or transactions? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Product Are there any features we added recently that increased engagement? Engineering Fetch IDs created in a given month for a specific provider or integration. Operations Which tickets are trending by category and time to resolution? Data & Analytics Show me revenue and subscription growth. Sales Which accounts are a churn risk? Product Did anything else spike when a specific feature usage increased? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Sales Which opportunities are stuck beyond the expected stage duration? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Sales List all workspaces with an upcoming renewal in the next month. Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down?

Operations Filter paid organizations and show their current usage details. Product Show retention by cohort and first-usage month. Product What is our WAU/MAU and how is it trending? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Engineering Which SDK versions or app versions are most error-prone? Operations Give me a table of all new users with their signup source/medium. Marketing What should be on a performance dashboard for our account managers? Product Identify the magic moment that predicts long-term engagement. Sales Which accounts are likely to expand based on recent product activity? Engineering Find domains or metadata for a list of organizations from builder records. Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Marketing List Google Ads campaigns and show CPC trends for each. Engineering How many auth configs or connected accounts exist for provider X? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Sales Who are the most engaged accounts in the last 14 days? Engineering Which services or endpoints have the highest error rates this week? Product Which features correlate most with conversion to paid? Sales How many leads are currently close to closing? Operations Which customers have open issues tied to performance or reliability? Engineering Show recent error logs and users impacted in the last week. Marketing What is our CAC? Operations Which customers are running into more bugs recently? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Engineering Make table links open detailed views in our admin tool. Product Show onboarding conversion rate compared to last month. Operations Filter paid organizations and show their current usage details. Product Show retention by cohort and first-usage month. Product What is our WAU/MAU and how is it trending? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Engineering Which SDK versions or app versions are most error-prone? Operations Give me a table of all new users with their signup source/medium. Marketing What should be on a performance dashboard for our account managers? Product Identify the magic moment that predicts long-term engagement. Sales Which accounts are likely to expand based on recent product activity? Engineering Find domains or metadata for a list of organizations from builder records. Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Marketing List Google Ads campaigns and show CPC trends for each. Engineering How many auth configs or connected accounts exist for provider X? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Sales Who are the most engaged accounts in the last 14 days? Engineering Which services or endpoints have the highest error rates this week? Product Which features correlate most with conversion to paid? Sales How many leads are currently close to closing? Operations Which customers have open issues tied to performance or reliability? Engineering Show recent error logs and users impacted in the last week. Marketing What is our CAC? Operations Which customers are running into more bugs recently? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Engineering Make table links open detailed views in our admin tool. Product Show onboarding conversion rate compared to last month.

All your data in one place

Connect your own warehouse, or use Basedash Warehouse to visualize all your data in one place.

See all 750+ integrations

Basedash vs traditional self-service BI

How AI-native self-service compares to legacy BI tools.

Capability	Basedash	Traditional BI
Natural language queries	Yes — full conversational	Limited or none
AI-generated dashboards	Yes	Manual setup
Time to first insight	Seconds	Days (requires analyst)
Business context awareness	Custom metric definitions	Schema-only
Non-technical user access	Full self-serve	Filtered views or SQL
Data source breadth	750+ sources	Warehouse-only
Proactive insights	AI-generated daily	Manual scheduling
Self-hosting	Available	Rarely

Related resources

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Self-service analytics FAQ

What is self-service analytics?

Self-service analytics gives business users the ability to explore data, build reports, and answer questions independently — without relying on a data team or writing SQL. The goal is to reduce the bottleneck between having a question and getting an answer.

Can non-technical users really use Basedash without training?

Yes. Basedash is designed around natural language interaction. Users type questions like they'd ask a colleague, and the AI returns charts, tables, and explanations. There's no query language to learn and no builder interface to master.

How does Basedash prevent conflicting metrics across teams?

Basedash supports governed metric definitions. You define what 'MRR', 'active user', or 'churn rate' means once, and the AI uses those definitions consistently in every query. This eliminates the 'which number is right?' problem.

Does self-service mean less control for the data team?

No. Data teams define the metric layer, set access permissions, and can review AI-generated queries. Self-service means business users get faster answers — not that governance disappears.

What data sources does Basedash support?

Basedash connects to 750+ data sources including Snowflake, BigQuery, PostgreSQL, Salesforce, HubSpot, Stripe, and more. You can ask questions that combine data across sources.

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