AWS Data Pipeline Design Supports Natural Language Processing

A leader in the fast food industry hired Elder Research to assist in the design of a cloud-based Data Pipeline System Design to support Natural Language Processing (NLP) to gain business insights from their customer and organizational data assets.

Data Engineering for Promotion Analysis

Elder research integrated multiple data sources to enable the client’s marketing team to analyze the effectiveness and ROI of historical marketing events.

Using Machine Learning to Build a Digital Image and Metadata Database

Elder Research used ML and AI to build an MS-SQL database containing more than 30 million records describing more than 350,000 images and metadata.

Automating Data Pipelines and Network Entity Detection

Elder Research developed an automated data pipeline and a data visualization tool used to explore document preparer network relationships. Forty percent of the cases being investigated were automated, reducing case investigation from 20 minutes per case to less than a minute per case.