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Cada respuesta se calcula a partir de tus definiciones de métricas gobernadas y muestra el SQL detrás, para que el negocio se autosirva sin quitarle el sueño a tu equipo de datos.

Prueba de 14 días. Sin tarjeta de crédito.

Revenue overview

MRR · All plans

Verified
$4.40M+23.9%($3.55M)

New signups by channel

Verified
OrganicPaid searchReferralOutbound

Top accounts

Verified
AccountPlanMRRΔ 30dSeats
1NorthcurrentEnterprise$156,000+4%2,100
2LumenwaveEnterprise$135,250-6%1,800
3Copperleaf LabsEnterprise$119,500+11%1,575
4Fieldstone OpsGrowth$71,5000%1,150
5QuillbaseGrowth$53,000+9%950
6VerdantlyGrowth$48,500-3%775
7AlderpointGrowth$44,000+7%725
8HarborlineStarter$24,500+14%450
9DriftmarkStarter$21,000-8%350
10SablewoodStarter$18,000+2%300

Analytics para más de 5000 equipos en el mundo

Exa logoTiger Data logoPurpose logoGumloop logoComposio logoFullscript logoShiftrx logoDrata logoExa logoTiger Data logoPurpose logoGumloop logoComposio logoFullscript logoShiftrx logoDrata logo

Describe lo que quieres seguir y Basedash genera un panel a medida en minutos.

Revenue

$28.3K+68%(16,800)
400300200100
Sep 1, 2026Sep 30, 2026

New subscriptions

Live
508+189%(176)
500250100
Sep 1, 2026Sep 30, 2026

CAC

14 wks

Burnrate

$32.5K

Cohort retention

457-31%(659)
CohortWeek 1Week 2Week 3Week 4Week 5Week 6
12482001401086425
211210458620
31681249476121
4987651511214
5102155114002

Runway in years

2.4

LTV in years

0.8

Generate a dashboard showing our core growth KPIs

Obtén respuestas al instante, detecta tendencias importantes y decide más rápido, con confianza.

EngineeringHow many auth configs or connected accounts exist for provider X?SalesWhat accounts had the largest expansions this quarter?OperationsGive me a table of all new users with their signup source/medium.SalesWhich accounts are likely to expand based on recent product activity?EngineeringMake table links open detailed views in our admin tool.SalesWhich opportunities are stuck beyond the expected stage duration?SalesWho are the most engaged accounts in the last 14 days?Data & AnalyticsPull IDs or names for items matching a keyword across connected sources.EngineeringFind domains or metadata for a list of organizations from builder records.EngineeringShow recent error logs and users impacted in the last week.SalesWhich organizations that have not converted to paid are the most active?OperationsWhich tickets are trending by category and time to resolution?ProductIdentify the magic moment that predicts long-term engagement.MarketingWhich categories or segments contributed the most revenue or transactions?OperationsFilter paid organizations and show their current usage details.OperationsSurface users who recently hit errors or experienced slow response times.EngineeringWhich services or endpoints have the highest error rates this week?Data & AnalyticsIdentify top entities (e.g., products, practices, segments) by net earnings or volume.MarketingWhich campaigns or channels drove the most leads and conversions this month?SalesList all workspaces with an upcoming renewal in the next month.OperationsWhich customers have open issues tied to performance or reliability?SalesWhat should a sales-facing dashboard include for quick qualification and follow-up?ProductShow retention by cohort and first-usage month.ProductShow onboarding conversion rate compared to last month.MarketingWhat should be on a performance dashboard for our account managers?EngineeringHow many auth configs or connected accounts exist for provider X?SalesWhat accounts had the largest expansions this quarter?OperationsGive me a table of all new users with their signup source/medium.SalesWhich accounts are likely to expand based on recent product activity?EngineeringMake table links open detailed views in our admin tool.SalesWhich opportunities are stuck beyond the expected stage duration?SalesWho are the most engaged accounts in the last 14 days?Data & AnalyticsPull IDs or names for items matching a keyword across connected sources.EngineeringFind domains or metadata for a list of organizations from builder records.EngineeringShow recent error logs and users impacted in the last week.SalesWhich organizations that have not converted to paid are the most active?OperationsWhich tickets are trending by category and time to resolution?ProductIdentify the magic moment that predicts long-term engagement.MarketingWhich categories or segments contributed the most revenue or transactions?OperationsFilter paid organizations and show their current usage details.OperationsSurface users who recently hit errors or experienced slow response times.EngineeringWhich services or endpoints have the highest error rates this week?Data & AnalyticsIdentify top entities (e.g., products, practices, segments) by net earnings or volume.MarketingWhich campaigns or channels drove the most leads and conversions this month?SalesList all workspaces with an upcoming renewal in the next month.OperationsWhich customers have open issues tied to performance or reliability?SalesWhat should a sales-facing dashboard include for quick qualification and follow-up?ProductShow retention by cohort and first-usage month.ProductShow onboarding conversion rate compared to last month.MarketingWhat should be on a performance dashboard for our account managers?
SalesHow many leads are currently close to closing?OperationsShow customers with at least two visits or repeat usage in the last month.MarketingWhich geographies are performing best this quarter by pipeline and closed-won?MarketingHow many deals or opportunities are in our current campaign from a specific region?ProductWhich cohorts have the highest week-8 retention?Data & AnalyticsBuild a quick-start KPI dashboard with filters and best-practice layout.EngineeringWhat are the most common errors this month, and what endpoints are causing them?MarketingWhat is our blended cost per lead and cost per acquisition by channel?MarketingList Google Ads campaigns and show CPC trends for each.Data & AnalyticsTrend key KPIs over time and flag abnormal spikes.MarketingAre we seeing a drop in lead volume year over year? Which months and segments are down?Data & AnalyticsShow me revenue and subscription growth.OperationsWhich customers are running into more bugs recently?ProductAre there any features we added recently that increased engagement?Data & AnalyticsBreak down counts by type (categories, forms, service items) and show percentages.EngineeringFetch IDs created in a given month for a specific provider or integration.ProductWhat is our WAU/MAU and how is it trending?MarketingShow campaigns with delivery errors that still spent in the last 24 hours.EngineeringWhich SDK versions or app versions are most error-prone?ProductWhich product areas are slowing users down (timeouts, latency, error-prone steps)?SalesWhich accounts are a churn risk?Data & AnalyticsHow many records/jobs/tasks were created or submitted in a given timeframe?MarketingWhat is our CAC?ProductDid anything else spike when a specific feature usage increased?ProductWhich features correlate most with conversion to paid?SalesHow many leads are currently close to closing?OperationsShow customers with at least two visits or repeat usage in the last month.MarketingWhich geographies are performing best this quarter by pipeline and closed-won?MarketingHow many deals or opportunities are in our current campaign from a specific region?ProductWhich cohorts have the highest week-8 retention?Data & AnalyticsBuild a quick-start KPI dashboard with filters and best-practice layout.EngineeringWhat are the most common errors this month, and what endpoints are causing them?MarketingWhat is our blended cost per lead and cost per acquisition by channel?MarketingList Google Ads campaigns and show CPC trends for each.Data & AnalyticsTrend key KPIs over time and flag abnormal spikes.MarketingAre we seeing a drop in lead volume year over year? Which months and segments are down?Data & AnalyticsShow me revenue and subscription growth.OperationsWhich customers are running into more bugs recently?ProductAre there any features we added recently that increased engagement?Data & AnalyticsBreak down counts by type (categories, forms, service items) and show percentages.EngineeringFetch IDs created in a given month for a specific provider or integration.ProductWhat is our WAU/MAU and how is it trending?MarketingShow campaigns with delivery errors that still spent in the last 24 hours.EngineeringWhich SDK versions or app versions are most error-prone?ProductWhich product areas are slowing users down (timeouts, latency, error-prone steps)?SalesWhich accounts are a churn risk?Data & AnalyticsHow many records/jobs/tasks were created or submitted in a given timeframe?MarketingWhat is our CAC?ProductDid anything else spike when a specific feature usage increased?ProductWhich features correlate most with conversion to paid?

Transforma datos y define medidas y segmentos una vez para usarlos en todas partes.

Subscriptions

Verified

Clean subscription rows with account, plan, and billing context.

1select
2 account_id, started_at,
3 plan, status,
4 monthly_amount
5from subscriptions
6where not is_test
Measure · MRRSegment · Active
How is our MRR trending?

MRR by month

Verified
$83.3K
AprMayJunJulAugSep

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Los controles que espera tu equipo de seguridad, desde el primer día.

Security posture

All controls enforced

SOC 2 Type II

Auditado cada año, con monitorización continua.

Cifrado en todas partes

Datos cifrados en tránsito y en reposo.

Nunca entrena con tus datos

Los datos de clientes no se usan para entrenar modelos.

Acceso por roles

RBAC y seguridad a nivel de fila en cada fuente y métrica.

SSO y SCIM

Inicio de sesión único (SAML, OIDC) con aprovisionamiento SCIM.

Nube o autohospedado

Despliega dentro de tu propio perímetro de red.

Audit log

Live

FAQ

¿Qué es una plataforma de business intelligence nativa de IA?

Una plataforma de business intelligence (BI) nativa de IA usa procesamiento de lenguaje natural para consultar bases de datos, generar paneles y explorar analytics sin escribir SQL. Basedash permite a los equipos preguntar en lenguaje cotidiano y convertir las respuestas en paneles, automatizaciones y flujos compartidos. Cubre todo el stack de datos en un solo producto — almacenamiento, sincronización, una capa semántica para métricas de confianza y la BI encima — para que el análisis sea coherente desde los datos crudos hasta el panel final. El resultado es menos tiempo hasta el insight, menos consultas manuales y menos idas y vueltas entre equipos.

¿Cómo modela Basedash los datos de negocio?

Basedash Models combina transformación de datos y modelado semántico en el flujo de BI. Describe un conjunto o concepto como usuarios activos y la IA crea su SQL, dimensiones, medidas, segmentos y columna de tiempo. Cada IA de Basedash puede consultar el mismo modelo sin un despliegue separado de dbt o Cube.

¿En qué se diferencia Basedash de herramientas de BI tradicionales como Metabase o Tableau?

La BI nativa de IA es bastante más rápida y menos frágil que la BI tradicional en el día a día. Las herramientas clásicas suelen depender de flujos con mucho SQL, configuración manual de paneles y varias rondas de iteración antes de una respuesta usable. Basedash reduce esa fricción al pasar de una pregunta en lenguaje natural a un gráfico gobernado, para que los equipos publiquen paneles en minutos en lugar de esperar ciclos más largos.

¿En qué se diferencia Basedash de herramientas de IA como ChatGPT o Claude Code?

Las herramientas de IA generales sirven para brainstorming, pero Basedash está hecho para analytics de producción. Basedash se conecta a tu stack real, entiende tu esquema, tus tablas y tus definiciones de métricas, y devuelve respuestas ancladas en fuentes gobernadas. Está pensado para equipos con paneles compartidos, métricas reutilizables, controles de acceso por rol y opciones de despliegue alineadas con seguridad y cumplimiento. El resultado es menos tiempo hasta el insight, con respuestas más consistentes y fiables.

¿Qué fuentes de datos admite Basedash?

Basedash admite 750+ integraciones entre bases de datos, warehouses y herramientas SaaS, incluidas PostgreSQL, MySQL, Snowflake, BigQuery, Salesforce, HubSpot, Stripe y Google Analytics. Los equipos conectan su stack actual y mantienen el análisis anclado en datos de negocio gobernados. El catálogo completo está en la página de fuentes de datos.

¿Cómo evita Basedash las alucinaciones y garantiza el análisis preciso?

Basedash prioriza la exactitud en analytics de producción. En lugar de generar respuestas libres, traduce el lenguaje natural a consultas estructuradas que se validan y ejecutan contra tus bases o warehouses. Las respuestas se apoyan en tu esquema real, tus tablas y tus definiciones de métricas. Las consultas generadas se pueden revisar, trazar hasta los datos y volver a ejecutar. Al limitar la IA a tu entorno real y aplicar definiciones compartidas y controles de acceso, Basedash combina la velocidad de la IA con la fiabilidad de la BI clásica. En BI Bench, nuestro benchmark público de agentes analistas de IA, Basedash es la herramienta más precisa evaluada.

¿Basedash es seguro para producción y empresa?

Basedash está diseñado para entornos de producción y empresa, con controles de seguridad concretos: cumplimiento SOC 2 Type II, cifrado en tránsito y en reposo, y límites estrictos de acceso a los datos. Los datos de clientes nunca se usan para entrenar modelos. Los equipos pueden aplicar RBAC, SSO (SAML y OIDC), aprovisionamiento SCIM y registros de auditoría nativos, definir métricas de confianza y desplegar en autohospedaje o VPC. Consulta la página de cumplimiento para SOC 2, HIPAA, ISO 27001 y RGPD. Así se adopta analytics nativa de IA sin debilitar la postura de seguridad existente.

Podemos ayudarte a migrar tus datos y dashboards desde cualquier otra herramienta.