Every December, we here at DATAVERSITY set aside time to dig through our data and reflect on the hits and misses of the year. We want to know: Which content did you, our data-loving readers, consume and enjoy the most? Which Data Management topics and experts helped you learn valuable new skills, succeed at your […]
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 […]
How to Democratize Data Science
Efforts to democratize Data Science can be described as creating an environment that allows people with little expertise to perform Data Science research. This approach can be especially useful for businesses desperate to access the skills of a data scientist, but unable to hire one. A variety of user-friendly analytics tools have become available to support staff […]
Data Science Metrics: Purpose and Uses
When one thinks of “metrics” in the context of Data Science, the term might denote raw numbers as in descriptive metrics, qualitative labels as in marketing analytics, or comparative labels as in website analytics. Metrics come in many different forms and structures, but the primary objective of Data Science metrics is to measure and report […]
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 […]
Data Science Solutions: Applications and Use Cases
Data Science is a broad field with many potential applications. It’s not just about analyzing data and modeling algorithms, but it also reinvents the way businesses operate and how different departments interact. Data scientists solve complex problems every day, leveraging a variety of Data Science solutions to tackle issues like processing unstructured data, finding patterns […]
The Role of Decision Science in Shaping Business Analytics
The field of decision science focuses on making data-informed decisions. Decision science helps to analyze the impact of a decision on the business. The best decisions are often made with a combination of data and precise business questions. The more precise the questions, the more precise the data requirements will be. Harvard’s Center for Health […]
Data Science Tools: Smart Assistants for Data Analytics
In a globally competitive world, businesses that haven’t invested in Data Science tools can have difficulty making timely decisions or applying actionable insights. Today, data scientists’ greatest asset is the technology platforms or the tools that they have access to. The tools of the trade can mine and analyze petabytes of data in seconds and […]
Machine Learning Best Practices
Artificial intelligence (AI), machine learning (ML), and data science are together transforming modern organizations in new ways. These highly advanced technologies—along with a long queue of related technologies—have reshaped global organizations of all shapes and sizes in recent times. The cumulative success of these technologies in businesses is so huge that now the remaining organizations […]
Integrating Edge AI
Integrating edge artificial intelligence (AI) is not a simple process. Early forms of artificial intelligence relied on the computer power of data centers to perform their processor-demanding tasks. After some time, AI shifted into software, using predictive algorithms that changed how these systems support businesses. AI has now moved to the outer edges of networks. […]