Industries

Healthcare


Improve clinical care and patient outcomes, reduce fraud, and manage financial risk.

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Healthcare

Insurance


Prioritize claims, reduce risk and cost, prevent fraud, and improve customer experience.

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Insurance

Financial Services


Improve regulatory compliance, detect fraud, assess risk, and enhance customer value.

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Financial Services

Software & Technology


Analyze sensor/log data to enhance product design and user experience, and reduce attrition.

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Software & Technology

Government


Prevent fraud, waste, and abuse, improve program integrity, and deliver return on investment.

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Government

Defense & Intelligence


Detect and prevent threats, improve security, prioritize caseload, and mitigate risk.

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Defense & Intelligence

Case Studies

Government

US Postal Service


Elder Research partnered with the U.S. Postal Service Office of Inspector General to develop and deploy a custom solution to identify and prioritize questionable contracts and healthcare claims for investigation. Leads generated were 74% actionable, resulting in over $11 million in recoveries, restitutions, and cost avoidance in the first year.

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Commercial

DentaQuest


Elder Research developed a provider risk scoring model that enabled targeted intervention with low quality providers and reduced per patient cost by nearly 20 percent.

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Commercial

nTelos


By applying advanced techniques for modeling and visualizing customer records, Elder Research created a combined data and text mining solution to increase marketing efficiency and reduce churn. The model improved targeted messages which resulted in higher profitability for nTelos, a regional mobile phone carrier.

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Featured Clients & Partners

Events

News

Zach Lamberty to Teach Advanced Mathematical and Statistical Computing at Georgetown University

Data Scientist Zach Lamberty designed and will teach a new graduate course Advanced Mathematical and Statistical Computing for the Department of Mathematics and Statistics at Georgetown University. The goals for this hands-on course are to learn about advanced computational tools and methods utilized in the data science field, including how to use and administer cloud computing resources, useful utilities in the Linux environment, and the AWS suite of cloud services. Among the AWS services the course will focus on general use services (e.g. EC2, S3), the Hadoop distributed computing ecosystem, the map reduce framework, and the application of these concepts to working with and understanding large datasets.

Stuart Price to Teach Mathematical and Statistical Computing at Georgetown University

Data Scientist Dr. Stuart Price will teach the graduate course Mathematical and Statistical Computing for the Department of Mathematics and Statistics at Georgetown University. The goal of this course is to provide students with programming background sufficient for graduate level study in mathematics and statistics. The course gives an introduction to R, SAS, Python and cloud computing. Statistical topics to be covered include data management, simulation, descriptive statistics, graphical displays, hypothesis testing, correlation, regression models, and simple multivariate analysis methods.

Gerhard Pilcher to be Inducted into NC State Department of Computer Science Alumni Hall of Fame

Gerhard Pilcher was selected as an inaugural member of the new NC State Department of Computer Science (CSC) Alumni Hall of Fame! This extraordinary honor celebrates and recognizes the exemplary contributions the outstanding graduates have made to their profession, their community, and to the world at large.  The University hopes that award winners will inspire current and future students, while promoting the department's global impact for producing incredible talent that embodies the University's mantra to "Think and Do the Extraordinary!". The inaugural class of 25 was selected from more than 9,000 CSC alumni and will be honored at a special luncheon and induction ceremony on October 12, 2017.

Miriam Friedel Discusses Humanity's Role in a Data-Driven Future with APQC

Miriam Friedel, PhD participated in APQC’s Data Driven by Design series. Organizations cite establishing a data-driven culture as their top challenge when it comes to data and analytics. To help address that challenge APQC posed the question: What is the role of the human mind (i.e., intuition, experience, acumen) in a business environment that's becoming increasingly automated and data driven?

Resources

Featured Video

Dr. Miriam Friedel Participated on the Next-Generation Analytics Social Influencer Roundtable at BigDataNYC 2016 Conference

Target Shuffling is a process for testing the statistical accuracy of data mining results. It is particularly useful for identifying false positives, or when two events or variables occurring together are perceived to have a cause-and-effect relationship, as opposed to a coincidental one. 

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Book Overview

COVER_Mining_Your_Own_Business.jpg

Mining Your Own Business is a practical guide for organizational leaders and top-level executives that demonstrates how to harness the power of data mining and predictive analytics, and avoid costly mistakes.

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