PyData Tel Aviv 2024

2D ARIMA: Capturing New Trends for Distant Time Horizons in Cohort Revenue Forecasting
11-04, 15:15–15:45 (Asia/Jerusalem), Green Track

Introducing our novel "Two-Dimensional ARIMA", a transformative approach that captures emerging trends influencing distant time horizons in cohort revenue forecasting. By integrating cohort attributes, recent data, and seasonal patterns, we've pioneered a method ensuring unparalleled forecasting adaptability and accuracy.


We are proud to introduce the "Two-Dimensional ARIMA" method - a novel technique we designed to enhance ARIMA models for today's forecasting demands.
This approach elevates the capabilities of traditional ARIMA by adeptly capturing emerging trends for extended forecasting horizons in cohort revenue predictions.
In this presentation, we'll illuminate its core principles:
Versatility: Crafted for any cohort revenue forecasts.
Responsiveness: Incorporating both recent and long-term data for swift market response.
Synergy: time-centric elements, seasonal variations, and overarching trends to produce a cohesive forecast.

Yonathan Guttel is a Data Scientist at Lightricks, serving in the Business DS team. In this role, he aids the marketing and finance sectors by crafting models, tools, and pipelines, refining revenue forecasts and marketing strategies.