Category: Analytics

Exploratory data analysis is one of the most important steps in the cycle of data. It gives direction to and is essential to other steps in the data analysis process. Yet it is often the first thing that gets overlooked with a tight timeline to produce a model or report. However, when you collect vast…

Each year, more and more data is collected than what was collected in the prior year. So what? The amount of data being put together whether through questionnaires, statistical methods, surveys, online tracking and the internet generally is astronomical. But most of it just sits there not being used. The abundance of data we have…

Whether your business is large or small, you really need to understand the importance of data analytics to drive growth, recognize opportunities, find efficiencies, and so much more! Data analytics, simply put, is the process of analyzing data to conclude, support a decision, or provide a recommendation. Having data on hand is critical for business…

Learning machine learning is much like learning any new skill. It is dependent on factors such as your existing knowledge of machine learning topics, computer literacy, attitude, and the time you have to devote to learning it. With that in mind, here are some guidelines. To learn machine learning, expect it to take 6 months…

My overarching goal is to help anyone use data that wants to. As part of these efforts, I’ve worked in a variety of industries and organizations, and over-and-over I see some themes that hold people and organizations back. Common Data and Reporting Mistakes Inaccurate aggregations (like averaging an average) Not fully exploring data you are…

Data topics have really become these crazy buzzwords everyone wants their hands in. Add in all these voices behind them, and terms get thrown around interchangeably whether should or not! So you’re wondering what data analytics means eactly? Data analytics is the process of examining data in an in-depth manner to extract information. That’s really…