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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 Customer Happiness Index?

The advanced predictive analytics tool tailored for telecommunications firms is designed to identify and analyze essential elements that impact Churn, ARPU, CLTV, and NPS. By leveraging state-of-the-art AI and Machine Learning technologies, businesses can seamlessly distribute satisfaction ratings across their entire clientele, leading to more strategic decision-making. Backed by Google Cloud, the CHI platform offers the chance to engage with a data set that reflects real-world telecom data. Users can employ CHI to evaluate the key factors influencing Churn, ARPU, CLTV, and NPS while also recognizing customer segments based on churn risk, potential revenue growth, and NPS. This platform not only enables telecom companies to refine their strategic plans but also cultivates a richer comprehension of customer behavior and preferences, ultimately driving better engagement and loyalty. Additionally, the insights gained from this analysis can significantly enhance customer retention strategies and improve overall service offerings.

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

Pricing not provided.
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

Lynx Analytics

Company Location

Singapore

Company Website

www.lynxanalytics.com/customer-happiness-index

Categories and Features

Categories and Features

NPS

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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