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Practicing Data Science

Click to learn more about author Rosaria Silipo. There are many declinations of Data Science projects: with or without labeled data; stopping at data wrangling or involving Machine Learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples at all of one of the classes; with […]

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 Power of Prediction

Click to learn more about author Sanjeev Agrawal. Improving operational efficiency through Data Analytics boils down to applying Predictive Analytics to improve planning and execution of key care delivery processes, chief among them resource utilization, staff schedules, and patient admittance and discharge. When this is done right, providers see an increase in patient access (accommodation of […]

Accelerate BI Project Implementation with Data Warehouse Automation

Click to learn more about author Ibrahim Surani. For any large or mid-sized organization to survive in today’s highly competitive market, its decision makers require intelligible information to gauge key metrics affecting various business strategies effectively. They heavily rely on Business Intelligence (BI) solutions to drive innovation and agility for meeting the constantly changing consumer […]

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