This session introduces a practical model for transformation and unpacks eight common gaps that quietly drain ROI.

With a passionate team and a clear mission, a regional food bank needed a clearer path to making data-driven decisions.

A major food company thought its recommender system was driving value. Elder Research uncovered what worked and what needed to change.

A leading quick-service restaurant chain faced a common challenge: operationalizing machine learning (ML) models efficiently in a legacy environment. Elder Research used machine learning operations techniques to optimize this client’s business operations.

Our client implemented machine learning models with a goal of improving forecast accuracy over prior methods. While they led to better predictive accuracy, their complexity made them difficult to interpret.

By engaging Elder Research, a global quick-service restaurant aimed to streamline their data and analytics operations to enable informed, real-time decisions.

Elder Research partnered with a fast-food restaurant chain to develop a minimum viable product solution that leveraged data to help the client better manage customer demand.

In this video our founder, John Elder, explores the two persistent challenges holding data analytics professionals back—and ways to overcome those challenges.

Join data scientists Paige Spell and Shaylee Davis for a practical and engaging webinar that explores how analytics evolves across organizations at different maturity stages.