Characterizing and Improving a Large-Scale Recommender System

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

From Cost to Clarity: Reducing Observability Spend While Elevating Pipeline Insight

As digital platforms expanded, this restaurant team faced a tough challenge: keeping data flowing smoothly without drowning in oversight.

Working with Large Language Models to Improve Customer Feedback Analysis

Elder Research partnered with a national restaurant chain to refine their customer feedback analysis. Our goal was to enhance their text classification capabilities, enabling quicker, more accurate insights into customer sentiment and operational improvements.

Using a “Busyness” Metric to Inform Customer Decision-Making

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.

Synthetic Controls: A Smarter Way to Measure Change

A restaurant chain needed to measure the real impact of business events. Our custom solution helped them do just that—here’s how.

Cutting Through Complexity:
An AI-Powered Search Tool for Regulatory Compliance

Elder Research developed a data organization and search solution in partnership with the American Health Care Association and the National Center for Assisted Living (AHCA/NCAL), streamlining access to complex regulatory documents.

The Twin Crises of Science (and How to Defeat Them)

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

Approaching Analytics Across Organizational Maturity Levels

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.

Navigating Generative AI: A Guide for Thoughtful Adoption

Using Graph Data to Detect Fraud

Special Data Science for a Special Day

Predictive Maintenance: Common Challenges & How to Overcome Them

How to Use Random Forests to Beat Gerard Butler

Using Data to Win Gold for U.S. Ski & Snowboard with Gus Kaeding | Mining Your Own Business

Building AI at Home Depot with John Carroll & Jon Weininger | Mining Your Own Business Podcast

The Problem with Forecasting in the Hospitality Industry

Building Analytic Momentum with Alex Cunningham | Mining Your Own Business

Delivering a Model vs. Delivering Change with Gerhard Pilcher | Mining Your Own Business

You Want the Truth – Adapt Training Domain to Improve Q&A on Technical Text

Predicting and Simulating Hot Corrosion of Gas-Turbine Engine Components

Elder Research codeveloped HOTPITS, a modular, physics-based framework for predicting and simulating the hot corrosion of Ni-based superalloy components in gas-turbine engine components.