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What Makes a Great Data Scientist in 2023?

A great data scientist combines expert knowledge of various interrelated academic disciplines to help global enterprises make agile decisions for improved business performance. Data scientists use statistics, mathematics, data mining, and computer science to analyze data sets for observable trends and patterns. They are also experts in data collection and storage methods. The Bureau of Labor Statistics had predicted […]

Analytics Solutions: Applications and Use Cases

Data and analytics are particularly critical to today’s businesses because they improve strategic decision-making. Analytics solutions and use cases provide customers with added value in health care, retail, higher education, manufacturing, and other industries that capture a lot of valuable data.  By harnessing different types of analytics available, organizations across varying industries can understand how products are […]

How to Build a High-Performance Analytics Team

When most people think of analytics, they tend to picture a rigidly left-brained data scientist more at home with computer programming than creativity. But analytics leader and author John K. Thompson challenges such a notion. During his keynote presentation at DATAVERSITY’s Enterprise Analytics Online event, he proposed instead that the members of an analytics team can be […]

Analytics Governance: The Big Picture

Data Governance applied to analytics, business intelligence (BI), or data modeling is nothing new, but Analytics Governance is somewhat different from Data Governance, says Malcolm Chisholm, president of Data Millenium. Chisholm spoke at DATAVERSITY’s Enterprise Analytics Online, stating that Analytics Governance is focused within a more centralized unit rather than the distributed model Data Governance requires. “There […]

How to Become a Data Quality Analyst

Data quality refers to the planning and implementation of quality management measures for the data that companies generate. The idea is that the data should fit the end goal of the data consumer’s needs – and must follow specific quality dimensions to be deemed fit for use. The role of a data quality analyst (DQA) is to ensure […]

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