Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All are varieties of data analysis. Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination. The term data analysis is sometimes used as a synonym for data modeling.
About the Author: Matt Artz
Matt Artz is a business and design anthropologist, consultant, author, speaker, and creator. He writes, speaks, and consults in user experience, product management, and business strategy. He creates products, podcasts, music, and visual art. Matt is the Head of Product and Experience for Cloudshadow Consulting and Artmatcher. He is also the Founder of Anthro to UX, Azimuth Labs, and Biomega Technologies. He earned a Masters of Science in Applied Anthropology from the University of North Texas in 2018, an MBA in Finance and Management Information Systems from Marywood University in 2008, a BS in Biotechnology from Marywood University in 2008, and a BBA in Computer Information Systems from Marywood University in 2006. As an anthropologist and consultant, he is known for his research interests and work in business anthropology, design anthropology, consumer genetics, user experience, product management, big data, sensemaking, and algorithmic bias. Matt is also the creator of the Anthropology in Business podcast and Anthro to UX podcast where he discusses the application of anthropology to business and UX. He has been featured by TEDx, SXSW, Anthropology News, MedPage Today, Kevin MD Technically, UX Planet, Towards Data Science, Product Coalition, and the University of North Texas. You can follow Matt on LinkedIn, Twitter, Instagram, Spotify, and Google Scholar.