Toda la información sobre tu empresa en un solo lugar

¿Por qué usar Stripe Sigma?

Obtén información de tus datos de Stripe con la tecnología de SQL e IA

Sigma permite a las empresas explorar y analizar fácilmente sus datos de Stripe para obtener información empresarial más rápida en el Dashboard de Stripe.

Toma decisiones basadas en datos

Obtén información, rastrea tendencias y analiza patrones en tus datos hasta el nivel de transacción. Utiliza instrucciones SQL o de lenguaje natural para obtener respuestas instantáneas a tus preguntas empresariales.

Informes totalmente personalizables

Crea métricas e informes personalizados que se adapten a tus necesidades para monitorear tu negocio. Escribe SQL desde cero, empieza con una plantilla prediseñada o modifica los informes existentes con la ayuda de nuestro asistente basado en IA. A continuación, visualiza fácilmente tus datos transformando los informes en gráficos dinámicos.

Obtén información sobre tu calendario

Mantente al tanto con el envío automático de informes directamente a tu bandeja de entrada. Programa el envío diario, semanal o mensual de tus informes para obtener las respuestas que necesitas exactamente cuando las necesitas.

Colabora fácilmente

Optimiza tu trabajo guardando las consultas más frecuentes para acceder a ellas con mayor facilidad. Comparte las consultas directamente con tus compañeros de equipo en Sigma o descárgalas como archivos CSV para analizarlas sin conexión.

Casos de uso

¿Para qué puedes usar Stripe Sigma?

Desde fundadores hasta equipos financieros, cualquiera puede extraer información de sus datos de Stripe sin esfuerzo y sin necesidad de tener conocimientos de SQL. Simplemente escribe tu pregunta y el asistente de Sigma, impulsado por IA, la transformará en una consulta y el informe resultante.

¿Cuál es el porcentaje de disputas que hemos impugnado?

¿Cuál fue nuestro volumen de cargos en febrero?

¿Qué clientes no han pagado sus facturas?

¿Qué cargos concuerdan con nuestra última transferencia bancaria?

¿Cuánto cambia el flujo de caja mensualmente?

¿Cuál es el saldo diario de nuestra empresa?

¿Cuántos clientes activos tenemos?

¿Por qué los clientes disputan pagos?

¿Cuáles son nuestros planes de suscripción más populares?

¿Cuántos pagos se efectúan con cada marca de tarjeta?

¿Qué cantidad de ingresos proviene de cada canal de adquisición de los clientes?

Los equipos de operaciones utilizan Stripe Sigma para dirigir su empresa con más eficacia.

Los equipos de finanzas utilizan Stripe Sigma para cerrar los libros más rápidamente.

Los analistas de datos utilizan Stripe Sigma para analizar todos los aspectos de la empresa, desde el ingreso medio por usuario (ARPU) hasta la tasa de pérdida de clientes.

Los equipos de gestión de productos utilizan Stripe Sigma para descubrir nuevas oportunidades de negocio.

Operaciones comerciales

¿Cuál es el porcentaje de disputas que hemos impugnado?

--This template returns an itemized list of disputed charges for the past 30 days, --along with information such as whether evidence has been submitted and the status of the dispute -- Note: if you have currencies that do not have cents (e.g. JPY), you should not divide by 100.0 select charges.id as charge_id, date_format(disputes.created, '%Y-%m-%d') as dispute_date, date_format(charges.created, '%Y-%m-%d') as charge_date, charges.card_brand, disputes.reason, disputes.status, disputes.amount / 100.00 as dispute_amount, disputes.currency, disputes.evidence_details_has_evidence as evidence_saved, case when disputes.evidence_details_submission_count = 0 then false else true end as evidence_submitted from disputes join charges on charges.id = disputes.charge_id where date(charges.created) >= date_add('day', -30, current_date) order by 2 desc
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Operaciones comerciales

¿Cuál fue nuestro volumen de cargos en febrero?

-- This template returns a monthly summary of your activities, including all payments in the UTC time zone -- Note: this query may need to be modified to handle additional payout/transfer types if you are using Connect -- monthly_balance_transactions is a temporary table that aggregates and pivots different -- balance_transaction types on a monthly basis for each currency -- Note: only months with at least 1 balance transaction will be returned with monthly_balance_transactions as ( select date_trunc('month', case when type = 'payout' then available_on else created end) as month, -- payouts are considered when they are posted (available_on) currency, sum(case when type in ('charge', 'payment') then amount else 0 end) as sales, sum(case when type in ('payment_refund', 'refund') then amount else 0 end) as refunds, sum(case when type = 'adjustment' then amount else 0 end) as adjustments, sum(case when type not in ('charge', 'payment', 'payment_refund', 'refund', 'adjustment', 'payout') and type not like '%transfer%' then amount else 0 end) as other, sum(case when type <> 'payout' and type not like '%transfer%' then amount else 0 end) as gross_transactions, sum(case when type <> 'payout' and type not like '%transfer%' then net else 0 end) as net_transactions, sum(case when type = 'payout' or type like '%transfer%' then fee * -1.0 else 0 end) as payout_fees, sum(case when type = 'payout' or type like '%transfer%' then amount else 0 end) as gross_payouts, sum(case when type = 'payout' or type like '%transfer%' then fee * -1.0 else net end) as monthly_net_activity, count_if(type in ('payment', 'charge')) as sales_count, count_if(type = 'payout') as payouts_count, count(distinct case when type = 'adjustment' then source_id end) as adjustments_count from balance_transactions group by 1, 2 ) -- Compute the month_end_balance for each month and format output -- Note: if you have currencies that do not have cents (e.g. JPY), you should not divide by 100.0 select date_format(month, '%Y-%m') as month, currency, sales / 100.0 as sales, refunds / 100.0 as refunds, adjustments/100.0 as adjustments, other / 100.0 as other, gross_transactions / 100.0 as gross_transactions, net_transactions / 100.0 as net_transactions, payout_fees / 100.0 as payout_fees, gross_payouts / 100.0 as gross_payouts, monthly_net_activity/100.0 as monthly_net_activity, sum(monthly_net_activity + gross_payouts) over(partition by currency order by month)/100.0 as month_end_balance, -- use SUM Window Function sales_count, payouts_count, adjustments_count from monthly_balance_transactions where month < date_trunc('month', current_date) -- exclude current, partial month order by 1 desc, 2
~

Operaciones comerciales

¿Qué clientes no han pagado sus facturas?

-- This template returns all unpaid invoices and relevant customer and plan information -- Note: if you have currencies that do not have cents (e.g. JPY), you should not divide by 100.0 select date(invoices.date) as invoice_date, invoices.amount_due / 100.0 as amount_due, invoices.attempt_count, invoices.customer_id, customers.email, plans.name as plan_name from invoices join subscriptions on invoices.subscription_id = subscriptions.id join plans -- join subscriptions on plans to get plan name on subscriptions.plan_id = plans.id join customers -- join on customers to get customer email on invoices.customer_id = customers.id where not invoices.paid -- filter out paid and forgiven invoices and invoices.status != 'uncollectible' order by 2 desc, 1
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Finanzas

¿Qué cargos concuerdan con nuestra última transferencia bancaria?

-- This template returns itemized information for transfers/payouts linked to -- automatic transfers within the past 30 days select date(transfers.date) as transfer_date, transfers.id as transfers_id, transfers.amount/100.0 as transfer_amount, transfers.status as transfers_status, balance_transactions.id as balance_transaction_id, balance_transactions.source_id as balance_transaction_source_id, balance_transactions.type as balance_transaction_type, balance_transactions.currency, balance_transactions.amount/100.0 as balance_transaction_amount, balance_transactions.net/100.0 as balance_transaction_net, charges.statement_descriptor as statement_descriptor, disputes.reason as disputes_reason, refunds.reason as refund_reason from transfers join balance_transactions on balance_transactions.automatic_transfer_id = transfers.id left join charges on charges.id = balance_transactions.source_id -- balance_transactions.source_id can be used to join on charges, disputes, and refunds table. left join disputes on disputes.id = balance_transactions.source_id left join refunds on refunds.id = balance_transactions.source_id where transfers.type = 'bank_account' and transfers.date >= date_add('day', -30, current_date) order by transfers.date desc, transfers.id, balance_transactions.created desc
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Finanzas

¿Cuánto cambia el flujo de caja mensualmente?

-- This template returns gross processing volume for each currency per month, assuming a local timezone of PT -- Note: charges can change over time, for example if a charge gets refunded. -- Always use the balance transactions table if you need to create reports for accounting purposes -- charges_timezone_conversion is a temporary table that converts timestamp with UTC timezone to 'America/Los_Angeles' timezone with charges_timezone_conversion as ( select date_trunc('month', created at time zone 'America/Los_Angeles') as month, currency, amount from charges where captured -- filter out uncaptured charges ) -- Compute the monthly gross charges for each month and currency select date_format(month, '%Y-%m') as month, currency, sum(amount)/100.0 as gross_charges from charges_timezone_conversion where month >= date_add('month', -24, date_trunc('month', current_timestamp at time zone 'America/Los_Angeles')) group by 1, 2 order by 1 desc, 2
~

Finanzas

¿Cuál es el saldo diario de nuestra empresa?

-- This template returns the balance at the end of every day in the UTC time zone -- daily_balance_transactions is a temporary table that aggregates and pivots different -- balance_transaction types on a daily basis for each currency with daily_balance_transactions as ( select -- payouts are considered when they are posted (available_on) date(case when type = 'payout' then available_on else created end) as day, currency, sum(net) as daily_balance, sum(case when type = 'payout' then net else 0 end) as payouts, sum(case when type <> 'payout' then net else 0 end) as net_transactions, sum(case when type in ('charge', 'payment') then net else 0 end) as payments, -- net = amount - fee sum(case when type in ('payment_refund', 'refund', 'payment_failure_refund') then net else 0 end) as refunds, sum(case when type = 'transfer' then net else 0 end) as transfers, sum(case when type = 'adjustment' and lower(description) like 'chargeback withdrawal%' then net else 0 end) as chargeback_withdrawals, sum(case when type = 'adjustment' and lower(description) like 'chargeback reversal%' then net else 0 end) as chargeback_reversals, sum(case when type = 'adjustment' and lower(description) not like 'chargeback withdrawal%' and lower(description) not like 'chargeback reversal%' then net else 0 end) as other_adjustments, sum(case when type not in ('payout', 'transfer', 'charge', 'payment', 'refund', 'payment_refund', 'adjustment') then net else 0 end) as other_transactions from balance_transactions group by 1, 2 ) -- Compute the current_balance for each day and format output select day, currency, -- use SUM Window Function to calc. running total sum(daily_balance) over(partition by currency order by day)/100.0 as current_balance, payouts/100.0 as payouts, net_transactions/100.0 as net_transactions, payments/100.0 as payments, refunds/100.0 as refunds, transfers/100.0 as transfers, chargeback_withdrawals/100.0 as chargeback_withdrawals, chargeback_reversals/100.0 as chargeback_reversals, other_adjustments/100.0 as other_adjustments, other_transactions/100.0 as other_transactions from daily_balance_transactions order by 1 desc, 2
~

Análisis de datos

¿Cuántos clientes activos tenemos?

-- This template returns itemized subscription information for each customer and plan select subscriptions.customer_id as customer_id, customers.email as customers_email, subscriptions.plan_id as plan_id, plans.nickname as plan_name, subscriptions.quantity as quantity, case when subscriptions.canceled_at is null and subscriptions.ended_at is null then 'active' else 'inactive' end as state, date_format(subscriptions.created, '%Y-%m-%d') as created_date, date_format(subscriptions.start, '%Y-%m-%d') as start_date, date_format(least(subscriptions.canceled_at, subscriptions.ended_at), '%Y-%m-%d') as end_date from subscriptions join plans -- join subscriptions on plans to get plan name on subscriptions.plan_id = plans.id left join customers on subscriptions.customer_id = customers.id order by 2
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Análisis de datos

¿Por qué los clientes disputan pagos?

-- This template returns the number of disputes grouped by reason and dispute status select reason, -- reason given by cardholder for dispute status, -- current status of dispute count(id) as disputes, count_if(evidence_details_submission_count > 0) as disputes_with_evidence_submitted from disputes group by 1, 2 order by 3 desc
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Gestión de productos

¿Cuáles son nuestros planes de suscripción más populares?

-- This template returns itemized subscription information for each customer and plan select subscriptions.customer_id as customer_id, customers.email as customers_email, subscriptions.plan_id as plan_id, plans.nickname as plan_name, subscriptions.quantity as quantity, case when subscriptions.canceled_at is null and subscriptions.ended_at is null then 'active' else 'inactive' end as state, date_format(subscriptions.created, '%Y-%m-%d') as created_date, date_format(subscriptions.start, '%Y-%m-%d') as start_date, date_format(least(subscriptions.canceled_at, subscriptions.ended_at), '%Y-%m-%d') as end_date from subscriptions join plans -- join subscriptions on plans to get plan name on subscriptions.plan_id = plans.id left join customers on subscriptions.customer_id = customers.id order by 2
~

Gestión de productos

¿Cuántos pagos se efectúan con cada marca de tarjeta?

-- This template returns the number of charges and amounts for each card type, by currency select coalesce(card_brand, 'Non-card or Other') as card_brand, currency, count(id) as charge_count, sum(amount)/100.0 as total_amount from charges where captured group by 1, 2 order by 4 desc
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Gestión de productos

¿Qué cantidad de ingresos proviene de cada canal de adquisición de los clientes?

-- This template returns itemized information for charges and associated customer metadata (from charges_metadata) -- charges_metadata_dictionary is a temporary table that creates a row for every charge_id with a dictionary of associated metadata with charges_metadata_dictionary as ( select charge_id, map_agg(key, value) metadata_dictionary -- MAP_AGG creates a key:value dictionary from charges_metadata group by 1) select charges.created, charges.id, charges.customer_id, charges.amount/100.0 as amount, metadata_dictionary['customer_source'] as customer_source -- 'customer_source' is the key we are accessing and returning the associated value (provided via metadata) from charges left join charges_metadata_dictionary on charges.id = charges_metadata_dictionary.charge_id where date_trunc('year', charges.created) = date_trunc('year', current_date) and charges.captured order by charges.created desc limit 1000
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Convierte tus datos en información empresarial práctica

Aprende a utilizar las herramientas de datos de Stripe para sacar a la luz oportunidades de ingresos y optimizar tus operaciones. Esta guía cubre las métricas clave que puedes seguir para tomar mejores decisiones empresariales.

Plantillas prediseñadas

Optimizado para obtener respuestas rápidamente

Ya escribimos las consultas para los informes más útiles para distintos tipos de empresas. Desde cómo calcular el ARPU hasta cómo analizar los métodos de pago preferidos por tus clientes, puedes empezar de inmediato editando una de nuestras plantillas prediseñadas o comenzar desde cero para personalizar por completo tu informe. Nuestro asistente integrado basado en IA también está listo para ayudarte a crear consultas de SQL personalizadas.

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Esquema fácil de usar

Tus datos de Stripe, siempre disponibles

Accede rápidamente, desde la barra lateral de Sigma, a un mapa completo que muestra la estructura de tus datos almacenados en Stripe (incluidos los metadatos adicionales que nos envíes), lo que hace mucho más fácil combinar los datos de los diferentes productos de Stripe como: pagos, transferencias, clientes, subscripciones, reembolsos, entre otros.

Tablas de pagos
balance_transactions_fee_details
balance_transactions
ID Varchar
importe Bigint
available_on Marca de tiempo
creado Marca de tiempo
moneda Varchar
descripción Varchar
comisión Bigint
neto Bigint
estado Varchar
tipo Varchar
source_id Varchar
automatic_transfer_id Varchar

Previsualiza todo el esquema

Diseñado para la colaboración

Guarda y comparte consultas con tu equipo

Guarda las consultas que utilices frecuentemente para acceder a ellas en cualquier momento o compartirlas con tus compañeros.

¿Cuántos clientes tenemos en Francia?

select id, email, shipping_address_country from customers where shipping_address_country = 'FR'
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¿Cuál fue nuestro volumen de cargos el mes pasado?

with monthly_balance_transactions as ( select date_trunc('month', case when type = 'pa' from monthly_balance_transactions where month = date_trunc('month', date '2017') order by 1 desc, 2
~

¿Cómo calculamos nuestros ingresos recurrentes mensuales?

with calendar_days as ( select day cast(captured_amount/customer_count as dec from monthly_summary order by 1 desc, 2
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Precios

Calcula el costo

Empieza con una prueba gratuita de 30 días y accede a todos tus datos de Stripe para crear informes personalizados utilizando SQL o indicaciones en lenguaje natural. Después de la prueba, tu comisión mensual se basará en el número total de solicitudes de autorización y cargos que procese tu empresa.

0

Cargos por mes

0

Costo mensual estimado

Contacta con ventas 
  • 0-500

    USD0.02/cargo

  • 501-1,000

    USD0.018/cargo

  • 1,001-5,000

    USD0.016/cargo

  • 5,001-50,000

    USD0.014/cargo

  • 50,001+

comisión de infraestructura

Disponemos de precios personalizados para empresas que manejan grandes volúmenes de pagos, realizan transacciones de alto valor o tienen modelos de negocio únicos. Ponte en contacto con nuestro equipo de ventas para obtener más información detallada.

Gestión optimizada de cuentas y análisis de datos más rápido para tu empresa

Con Stripe Organizations, gestiona de forma centralizada todas las líneas de negocio o subsidiarias a través de múltiples cuentas de Stripe en el Dashboard, y usa Sigma para analizar datos en todas tus cuentas y así acceder a nuevos análisis de negocio.

sigma.latin-es-latam

¿Todo listo para empezar?

Analiza y crea informes personalizados con tus datos de Stripe.

Te enseñamos cómo funciona

Descubre cómo crear informes personalizados con Stripe.

Conecta Stripe a tu almacén de datos

Optimiza tus análisis y accede a más información centralizando tus datos de Stripe en tu destino de almacenamiento de datos.

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