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A Brief History of Analytics

Historically speaking, a simple definition of analytics is “the study of analysis.” A more useful, more modern description would suggest “data analytics” is an important tool for gaining business insights and providing tailored responses to customers. Data analytics, sometimes abbreviated to “analytics,” has become increasingly important for organizations of all sizes. The practice of data […]

The All-Star Analyst: Powered by AI (Part 2)

Click to learn more about author Assaf Egozi. In the first part of this series, Assaf Egozi discussed key drivers and barriers to adoption for using AI/ML to power business analysis. This follow-up article highlights practical ways that citizen data analysts are using the technology to drive value for their business. Citizen data analysts are […]

Prescriptive Analytics Use Cases

The term “prescriptive analytics” denotes the use of many different disciplines such as AI, mathematics, analytics, or simulations to advise the user whether to act, and what course of action to take. In that sense, prescriptive analytics offers an advisory function regarding the future, rather than simply “predicting” what is about to happen. This newer […]

How Enterprises Will Succeed in 2021’s Digital Transformation World

Click to learn more about author George Young. Digital transformation became critical for success amid the COVID-19 pandemic in 2020. In 2021, as remote work continues, social distancing requirements remain, and supply chains continue to face disruption, we’ll see enterprises refine their digital strategies to continue operations effectively across the value chain — from the […]

Data Science vs. Business Intelligence

The growth of Data Science in today’s modern data-driven world had to happen when it did. If one really takes a careful look at the growth of data analysis over the years, without Data Science, traditional (descriptive) Business Intelligence (BI) would have remained primarily a static performance reporter within current business operations. With the rising […]

What’s More Predictive Than Predictive Analytics?

Click to learn more about author Karthik Ramasamy. Traditional predictive analytics involve leveraging historical data to identify trends, forecast likely events and conditions at a specific time, and model the best action for the desired result. For example, a manufacturer might try to determine when a machine on the production line will fail, or a retailer […]

The University of the Future: Five Ways to Use Data and Analytics to Start Your Online Degree Program

Click to learn more about author Eric Spear. The face of the higher-education student is changing. In the past, the majority of college students were fresh out of high school or another undergraduate program, but 2018 statistics show that 74% of American undergrads are considered “nontraditional” students. With nontraditional students comes the need for higher-education […]

All Aboard the Prescriptive Analytics Express

Click to learn more about author Joe deBuzna. Racing down the tracks with the equivalent of 170 Boeing 747s in tow, the 440,000 pound (200,000kg) next-generation locomotive is about to break. Some of the hundreds of sensors pulling in over 150,000 data points per minute show one of the train’s two turbochargers (yes, some trains have turbochargers) is starting […]