Business intelligence is important for every business. But, there is a lot of confusion about business intelligence.

This is mainly because BI has been defined in different ways. So, we thought what’s better than talking about business intelligence. We dived into the history pages and compiled a list of definitions and examples that will help you understand this concept better.…

Business analytics is here to stay, and most ventures are wrapping their heads around the idea. Numerous data gets collected from various interactions among clients and potential prospects; Big data is referred to as the complex humongous data. It is not a new fad in the analyst industry. Organization requires making top-notch decisions using big data as an essential component in…

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…

Cybersecurity Data Science (CSDS) is a rapidly emerging profession focused on applying data science to prevent, detect, and remediate expanding and evolving cybersecurity threats. CSDS is increasingly formally recognized as a cybersecurity job specialty, for instance in the NIST NICE Cybersecurity Workforce Framework.

A proposed CSDS definition derived from…

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…

Q1. Is MSc in Data science/Data Analytics same as ML/AI as some universities don’t have AI but Data Science?

Q2. I am interested in MS Data Science and not MS Analytics as the later is not technical in nature. Are MS Data Science and MS Data Analytics the same?

Q3. How to Choose Between a Master’s in Data Analytics vs Business…

By Stefan Stoyanov, Business Analytics & Research Intern at Boemska

I started my MSc Business Analytics course at theh University of Surrey almost one year ago. I had no prior experience in Machine Learning or data science. Before, I used to develop and manage EU projects…

Of late, a buzzword in marketing and analytics circles is CDP or Customer Data Platform. Chief Marketing Officers now have this new weapon in their arsenal to serve customers in an even better, faster and more granular manner. 



A CDP is a “data unifying software”. Adding it on top of your martech stack helps manage your…

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

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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.

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

Data is the new fuel- it drives businesses towards exponential growths. It has the power to transform operational and add intelligent insights with its immense potential. The key, however, lies with understanding data and its insights.

Logistics, like other domains, can also leverage from the several advantages of data. It all begins with what to do with the collected data. Data Science will come into the picture with its amalgamation of statistical &…

If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…

Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey.  Popular among most professional software developers, Python was ranked the world’s seventh popular programming language.

A study by PYPL Popularity of Programming Language Index (a study that monitors the frequency of searches regarding the popular programming languages to learn) predicted that it showed that there was a growth of 17.1% during the last…

Data is growing at an unimaginable speed. Data has been and will be the most crucial driving factors behind day-to-day activities that we carry out. As we talk, tons and tons of data---in exabytes is being added and processed each day, making it difficult to handle such an astronomical amount. There lies one major difficulty in handling such large amount of data. Since the volume is increasing rapidly in comparison to the computing resources, we find it…

Artificial intelligence (AI) seemingly has been discussed everywhere over the last few years, and now it’s made its way into the commercial insurance industry. Organizations are using AI and machine learning for everything from streamlining operations to offering more personalized care and better customer service. There is an increasing sense of urgency about getting started on the AI journey. The question is how. Do they develop a custom solution in-house or purchase a third-party solution…

“It’s much easier to double your business by doubling your conversion rate than by doubling your traffic.” —Jeff Eisenberg, CEO of BuyerLegends.com

It is but only now that medium and small retailers have started to realize why Amazon and other e-commerce companies…

Summary:  True prescriptive analytics requires the use of real optimization techniques that very few applications actually use.  Here’s a refresher on optimization with examples of where and how they’re best used.

Predictive analytics and optimization have gone hand in hand since the very beginning.  But in…

If there was an AI winter, we are clearly in the peak of its summer. I do not know if we will ever build something as Skynet, but we are going to build much simpler things that will change the course of our lives. This shows a new application of analytics in the field of finance. A radical new approach that let flourish a new face of finance never seen…

The key to perform any text mining operation, such as topic detection or sentiment analysis, is to transform words into numbers, sequences of words into sequences of numbers. Once we have numbers, we are back in the well-known game of data analytics, where machine learning algorithms can help us with classifying and clustering.

We will focus here exactly on that part of the analysis that transforms words…