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.

Elder Research built a web crawler deployed to AWS and used text analytics to help a large international charity identify collections of key themes describing each sub-community within their intranet and organize these sub-communities into larger groups.

Elder Research built an end-to-end text mining and document classification solution in the client’s AWS cloud to extract CPA Findings from audit reports.

Elder Research developed a user segmentation model based on SolidWorks’ product usage logs, helping to better understand and serve their users.