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Cada resposta é calculada a partir das suas definições de métricas governadas e mostra o SQL por trás — para que o time de negócio se autosirva sem tirar o sono do time de dados.

Teste de 14 dias. Sem cartão 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 mais de 5000 times no mundo

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Descreva o que você quer acompanhar e o Basedash gera um dashboard sob medida em minutos.

Revenue

$28.3K+68%(16,800)
400300200100
Aug 1, 2026Aug 31, 2026

New subscriptions

Live
508+189%(176)
500250100
Aug 1, 2026Aug 31, 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

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

Dê à IA definições SQL aprovadas para reutilizar no chat, nos gráficos e nos dashboards.

MRR

Verified

Monthly recurring revenue from active subscriptions.

1select
2 date_trunc('month', created_at)
3 as month,
4 sum(amount) as mrr
5from subscriptions
6where status = 'active'
7group by month
How is our MRR trending?

MRR by month

Verified
$83.3K
MarAprMayJunJulAug

Conecte o seu warehouse, ou use o Basedash Warehouse para visualizar todos os dados juntos.

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Os controles que o seu time de segurança espera, desde o primeiro dia.

Security posture

All controls enforced

SOC 2 Type II

Auditado todos os anos, com monitoramento contínuo.

Criptografia em todo lugar

Dados criptografados em trânsito e em repouso.

Nunca treina com os seus dados

Dados de clientes nunca são usados para treinar modelos.

Acesso por função

RBAC e segurança em nível de linha em cada fonte e métrica.

SSO e SCIM

Single sign-on (SAML, OIDC) com provisionamento SCIM.

Cloud ou self-hosted

Implante dentro do seu próprio perímetro de rede.

Audit log

Live

FAQ

O que é uma plataforma de business intelligence nativa de IA?

Uma plataforma de business intelligence (BI) nativa de IA usa processamento de linguagem natural para consultar bancos, gerar dashboards e explorar analytics sem escrever SQL. O Basedash permite que times façam perguntas em linguagem cotidiana e transformem respostas em dashboards, automações e fluxos compartilhados. Cobre o stack de dados inteiro em um produto — armazenamento, sincronização, uma camada semântica para métricas confiáveis e a BI por cima — para a análise ficar consistente dos dados brutos ao dashboard final. O resultado é menos tempo até o insight, menos consultas manuais e menos vai e volta entre times.

Por que o Basedash inclui uma camada semântica nativa?

O Basedash inclui uma camada semântica nativa para que os times definam métricas importantes uma vez, como SQL reutilizável, e depois o chat de IA, os gráficos, os dashboards, os insights, as automações e o editor SQL usem a mesma lógica aprovada. É diferente de uma camada de modelagem isolada porque o catálogo de métricas vive dentro do fluxo de BI onde as perguntas acontecem. Os times ainda podem usar dbt ou modelos do warehouse para transformações e usar as definições do Basedash para métricas de negócio que precisam ficar consistentes em todo relatório.

Como o Basedash é diferente de ferramentas de BI tradicionais como Metabase ou Tableau?

BI nativa de IA é bem mais rápida e menos frágil do que BI tradicional no dia a dia. Ferramentas clássicas costumam depender de fluxos pesados de SQL, montagem manual de dashboards e várias rodadas de iteração até uma resposta utilizável. O Basedash reduz esse atrito ao ir de uma pergunta em linguagem natural para um gráfico governado, para os times publicarem dashboards em minutos em vez de esperar ciclos longos.

Como o Basedash é diferente de ferramentas de IA como ChatGPT ou Claude Code?

Ferramentas de IA gerais são úteis para brainstorm, mas o Basedash foi feito para analytics de produção. O Basedash conecta no seu stack real, entende o schema, as tabelas e as definições de métricas, e devolve respostas ancoradas em fontes governadas. Foi pensado para times com dashboards compartilhados, métricas reutilizáveis, controles de acesso por função e opções de implantação alinhadas a segurança e compliance. O resultado é menos tempo até o insight, com respostas mais consistentes e confiáveis.

Quais fontes de dados o Basedash suporta?

O Basedash suporta 750+ integrações entre bancos, warehouses e ferramentas SaaS, incluindo PostgreSQL, MySQL, Snowflake, BigQuery, Salesforce, HubSpot, Stripe e Google Analytics. Os times conectam o stack atual e mantêm a análise ancorada em dados de negócio governados. O catálogo completo está na página de fontes de dados.

Como o Basedash evita alucinações e garante análise precisa?

O Basedash prioriza a precisão em analytics de produção. Em vez de gerar respostas livres, traduz linguagem natural em consultas estruturadas que são validadas e executadas direto nos seus bancos ou warehouses. As respostas se apoiam no schema real, nas tabelas e nas definições de métricas. As consultas geradas podem ser revisadas, rastreadas até os dados e executadas de novo. Ao restringir a IA ao seu ambiente real e aplicar definições compartilhadas e controles de acesso, o Basedash combina a velocidade da IA com a confiabilidade da BI clássica. No BI Bench, nosso benchmark público de agentes analistas de IA, o Basedash é a ferramenta mais precisa testada.

O Basedash é seguro para produção e para empresas?

O Basedash foi feito para produção e para empresas, com controles de segurança concretos: conformidade SOC 2 Type II, criptografia em trânsito e em repouso, e limites rígidos de acesso a dados. Dados de clientes nunca treinam modelos. Os times podem aplicar RBAC, SSO (SAML e OIDC), provisionamento SCIM e logs de auditoria nativos, definir métricas confiáveis e implantar em self-hosting ou VPC. Veja a página de conformidade para SOC 2, HIPAA, ISO 27001 e GDPR. Assim dá para adotar analytics nativa de IA sem enfraquecer a postura de segurança atual.

Podemos ajudar você a migrar dados e dashboards de qualquer outra ferramenta.