by Hudson Hollister

Detecting which of the federal government’s millions of contracts most likely involve fraud used to require insider access to agencies’ IT systems. Data analytics provides greater efficacy and higher hit rate than traditional investigative methods – and now can even be performed using only public…

by Vic Diloreto, Director, Software Products, Elder Research

The Risk Assessment Data Repository (RADR) is a powerful risk analytics platform used to enhance productivity in the investigation of fraud, waste and abuse. This server-based, data analytics product  fuses data from…

Note: This blog was written by Dr. John Elder and was originally published on www.elderresearch.com/blog.

______________________________

Elder Research has solved many challenging and previously unsolved technical problems in a wide variety of fields for…

Note: This blog was written by Dr. William Goodrum and originally posted on www.elderresearch.com.

____________________________

It has become common to talk about data being the new oil. But a recent piece from …

 A data scientist must know how to approach the extent of any problem; it means identifying features and figuring out the question that how to frame the desired answer is the key to become the most wanted data scientist. …

Nowadays, companies are besieged by information and the possibilities of new IT solutions. With the rapid advancements in information technology and high speed Internet, companies now have access to huge amounts of information, processing and sharing systems regarding customers, their demographics, and their online behavior across all touchpoints on the buyer’s…

With the world changing so rapidly, every company or organization that adapts to the changes becomes an example for all others. One very recent example for all companies to learn from and implement in their own decision making is the transformation of RELX Group to a leading global information and analytics company. I mentioned in my previous article, and the…

Best intentions

We talk a lot about making decisions based on data but we need to be careful about how hard and fast those decisions are. Our decisions are only as good as our data and our analysis.

Neither can be perfect. Data is always a sample of the full scope of reality and analytics is always an interpretation…

The term Big Data is no longer a buzzword, it’s become an institution, and businesses all over the world are hiring Data Scientists, Chief Data Officers and the like to help them make sense of it all. But Big Data shouldn’t be thought of some scary, untouchable thing. We’ve been collecting data for decades and Big Data is well, just more of it.

Considering we now have a lot more data coming in, day on day, how best can we make it work for us? The first step is to ensure that the data…

CIO recently published an article that highlighted a survey that was revealing. The survey, conducted in April and May, included 150 executives, from large companies of over 5,000 employees, with responsibility for making business decisions influenced by big data. The survey reports that 98 percent said their company encourages its employees to ground business…

In this post, I will cover in-depth a Big Data use case: monitoring and forecasting air pollution.

A typical Big Data use case in the modern Enterprise includes the collection and storage of sensor data, executing data analytics at scale, generating forecasts, creating visualization portals, and automatically raising alerts in the case of abnormal deviations or threshold breaches.

This article will focus on an implemented use case: monitoring and analyzing air quality…