Quotient Overview

The Quotient engine and our tools are primarily written using the Python programming language, utilizing the Django web framework. The Quotient backend facilitates the transfer of data between Quotient and Snowflake. Our core engine seamlessly integrates an extensive array of raw data from multiple vendors and incorporates formula aggregations in the Quotient. This integration not only enhances our capabilities but also provides a foundation for further utilization.

Quotient Forecaster Demonstration

Are you ready to revolutionize the way you approach business analytics? Say hello to the future with SFS's Quotient Forecaster - a game-changer in the world of regression-based analysis! ?? Unlock the Power of Machine Learning: Our Quotient Forecaster isn't just any tool; it's a powerhouse of over 50 machine-learning algorithms, seamlessly integrated into one intuitive platform. Imagine having the best of AI at your fingertips!

Welcome to Quotient

Quotient? is a Cloud-based solution that enhances the workflow of the Investment Management team by simplifying basic tasks, like loading and mapping data across discrete sources, and providing simple-to-use tools.

Qubles for Quotient Forecaster

Qubles for Quotient Forecaster stands as a revolutionary tool in financial forecasting, blending state-of-the-art technology with user-centered design. It’s an essential asset for any finance professional looking to harness the power of advanced predictive analytics in their forecasting processes, ensuring accuracy, efficiency, and strategic insight.

1D Analysis of Asset_ TRI

Quotient Forecaster's 1D Analysis of Asset_TRI offers a concise yet comprehensive view of asset performance. It provides in-depth trend insights and risk assessment, enabling users to make informed decisions by evaluating historical and projected data on a one-dimensional scale.