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Elder Research
Data Driven. People Centered.
Company Information
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Conpas Rating

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Overview

Elder Research is a data science consulting firm founded in 1995, specializing in AI, machine learning, and predictive analytics. They assist organizations in solving complex data challenges, including fraud detection, demand forecasting, and operational AI.

Groups

Number of Employees

51-200

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Services Provided

Consulting

Capabilities
Industries
Serviced Businesses
Footprint
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Regions

North America

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Countries

United States Of America

Additional Information
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Year of foundation

1995

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Structure

Privately Held

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Industry

High Tech

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About

About Us

About the company

Elder Research is a recognized industry leader in the science, practice, and technology of advanced analytics with vast experience in data transformation and model construction. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.