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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 SigmaXL?

SigmaXL was designed from the outset to be a cost-effective, robust, and user-friendly tool that empowers users to assess, analyze, and enhance their service, transactional, and manufacturing operations. This versatile software can either be integrated as an add-in for Microsoft Excel or utilized for Lean Six Sigma training purposes. The latest version, 9, offers sophisticated features such as advanced control charts and time series forecasting. Among its many capabilities, SigmaXL provides automatic removal of extreme Variance Inflation Factor (VIF) and collinear terms, complete with an alias or removal report. Users can define interactions and quadratic orders, accommodating all interactions and up to three-way interactions. It also supports ANOVA Type I and/or III Sum-of-Squares, along with Pareto analysis of percent contributions and standardized effects. Additionally, it calculates Lenth Pseudo Standard Error in saturated models, both orthogonal and non-orthogonal, while offering options for Monte Carlo P-Values or Student T P values. Moreover, SigmaXL includes White robust standard errors to address non-constant variance, ensuring reliability in statistical analyses. With such a comprehensive suite of features, SigmaXL stands out as an essential tool for professionals aiming to optimize their processes effectively.

Media

Media

Integrations Supported

Amazon Redshift
Shopify
Sigma
Snowflake
Stripe

Integrations Supported

Amazon Redshift
Shopify
Sigma
Snowflake
Stripe

API Availability

Has API

API Availability

Has API

Pricing Information

$10 per month
Free Trial Offered?
Free Version

Pricing Information

$249.00/one-time/user
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

SigmaXL

Date Founded

1998

Company Location

Canada

Company Website

www.sigmaxl.com

Categories and Features

Categories and Features

SPC

Corrective Actions (CAPA)
Data Entry
Data Linking
Data Management
Excel Loader
Job Management
OPC Data Collection
Performance Metrics
Point-of-Production Analysis
Real Time Data Collection
Regulatory Compliance

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