Click to learn more about author David Leivesley. We live in an era of big data. Amazingly, statistics show that around 90 percent of this data is only two years old. That indicates that businesses, moving forward, will need to anticipate using more and more of it. However, Data Management and structuring are notoriously complex. […]
Three Things You Need to Know About Data Literacy
Click to learn more about author Eva Murray. In the data-rich working environments of today, it is crucial for people to be data literate and, therefore, proficient in working with, understanding, and communicating data effectively. Much like literacy in general, Data Literacy is becoming an essential skill without which many of us could not do […]
The Independent Samples T-Test Method and How it Benefits Organizations
Click to learn more about author Kartik Patel. The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. For example, one might use this method of analysis to determine whether the average value of a sedan type of car […]
Case Study: Polaris Puts Data Analysis in the Service of Defeating Human Trafficking
Human trafficking is believed to be the third-largest criminal activity in the world, according to the FBI. The Department of Homeland Security advises that industries around the world including agriculture, hospitality, restaurant, and domestic work, as well as prostitution, often take advantage of modern slavery. Those pulled into this underworld are often held in isolation […]
Ten Common Issues When Using Excel for Data Operations
Click to learn more about co-author Rosaria Silipo. Using Excel to Transform/Analyze Your Data? I know you are still using Excel sheets to transform and/or analyze your data! I know, because most of us still use it to some extent. There is nothing wrong with using Excel. Excel spreadsheets are a great tool to collect […]
Don’t Make These Six Big Data Mistakes
Click to learn more about author Evelyn Johnson. Why do big data projects fail? They do; that’s for sure. Gartner estimated that 60 percent of big data projects fail to achieve their desired objectives. A year later, they revised this figure to 85 percent, admitting they were “too conservative” with the original estimate. So, going […]
The Evolving Role of Big Data in Accident Cost Containment
Click to learn more about author Ben Hartwig. Minimizing the costs of accidents is no easy feat. Doing the research or going through a massive amount of data can be strenuous. Not to mention, if you are not an expert, it will be extra challenging. So if your company is looking for ways to minimize […]
How to Leverage Big Data for Business Intelligence
Click to learn more about author Errin O’Connor. If you have heard about Moore’s law, then you know that in the span of two years, the computer’s capacity increases in terms of memory storage and speed by a factor of two, leading to exponential growth in data generated by those devices. Better devices will produce […]
What is the KMeans Clustering Algorithm and How is it Used to Analyze Data?
Click to learn more about author Kartik Patel. This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and […]
Mise en Place for Data Science
Click to learn more about author Curt Bergmann. When guests arrive at a great restaurant, the chef and all the cooks have already planned and assembled everything they need to quickly deliver excellence on a plate. Their process, called mise en place, is used by chefs all over the world. Emerging after the introduction of […]