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What is Stripe Sigma?

We created Stripe Sigma to help businesses analyze their Stripe data more effectively, enabling teams to obtain insights into their operations more rapidly. Users can take advantage of existing SQL queries or craft their own within the Stripe dashboard, negating the requirement for specialized data engineering skills. With a well-organized data access system, it becomes easy to identify at-risk customers, discover high-revenue regions, and much more. Answers to any inquiries regarding your Stripe data can be swiftly obtained whenever necessary. Moreover, you can configure reports to be generated automatically on a daily, weekly, or monthly schedule, which aids in maintaining organization. Improve your efficiency by saving commonly used queries for quick retrieval. You also have the option to share your queries with other teams directly within Sigma or export them in CSV format. Stripe Sigma serves various business functions: it helps operational teams optimize workflows, facilitates finance teams in speeding up financial closings, supports data teams in performing thorough analyses of metrics such as ARPU and churn, and assists product management in identifying new business opportunities. This versatile tool is tailored to meet diverse organizational needs, establishing it as an essential resource for any business seeking to enhance its analytical capabilities. Its comprehensive features ensure that all teams can collaborate effectively while leveraging data to drive informed decision-making.

What is ChartMogul?

B2B SaaS firms leverage ChartMogul Subscription Analytics and CRM to effectively assess, comprehend, and enhance their recurring revenue streams. - Generate reports and compare essential SaaS metrics against industry standards. - Delve into your data to discover strategies for accelerating recurring revenue growth. - Access a comprehensive array of tools for data cleaning, auditing, and modifications. - Oversee sales prospects, assign tasks, and maintain customer communication. Additionally, ChartMogul seamlessly integrates with your existing technology and data infrastructure through a variety of APIs and connections, including popular platforms like Stripe, Chargebee, HubSpot, Intercom, Slack, Snowflake, Amazon S3, among others, making it a versatile choice for businesses.

Media

Media

Integrations Supported

Amazon Redshift
Shopify
Snowflake
Stripe
5X
Amazon S3
App Store
Authorize.Net
Azure Blob Storage
Bold BI
Braintree
Google Cloud BigQuery
Google Play
Google Sheets
Invoiced
Maxio
Octoboard
Paddle
QuickBooks Accountants
Tray.ai

Integrations Supported

Amazon Redshift
Shopify
Snowflake
Stripe
5X
Amazon S3
App Store
Authorize.Net
Azure Blob Storage
Bold BI
Braintree
Google Cloud BigQuery
Google Play
Google Sheets
Invoiced
Maxio
Octoboard
Paddle
QuickBooks Accountants
Tray.ai

API Availability

Has API

API Availability

Has API

Pricing Information

$10 per month
Free Trial Offered?
Free Version

Pricing Information

$99.00/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Stripe

Date Founded

2010

Company Location

United States

Company Website

stripe.com/sigma

Company Facts

Organization Name

ChartMogul

Date Founded

2014

Company Website

chartmogul.com

Categories and Features

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

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