Data Science: Data Analysis (Definitions)

"Obtaining information from measured or observed data." (Ildiko E  Frank & Roberto Todeschini, "The Data Analysis Handbook", 1994)

"Refers to the process of organizing, summarizing and visualizing data in order to draw conclusions and make decisions." (Glenn J Myatt, "Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining", 2006)

"A combination of human activities and computer processes that answer a research question or confirm a research hypotheses. It answers the question from data files, using empirical methods such as correlation, t-test, content analysis, or Mill’s method of agreement." (Jens Mende, "Data Flow Diagram Use to Plan Empirical Research Projects", 2009)

"The study and presentation of data to create information and knowledge." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"Process of applying statistical techniques to evaluate data." (Sally-Anne Pitt, "Internal Audit Quality", 2014)

"Research phase in which data gathered from observing participants are analysed, usually with statistical procedures." (K  N Krishnaswamy et al, "Management Research Methodology: Integration of Principles, Methods and Techniques", 2016)

"Data analysis is the process of creating meaning from data. […] Data analysis is the process of creating information from data through the creation of data models and mathematics to find patterns." (Michael Heydt, "Learning Pandas" 2nd Ed, 2017)

"Data analysis is the process of organizing, cleaning, transforming, and modeling data to obtain useful information and ultimately, new knowledge." (John R. Hubbard, Java Data Analysis, 2017)

"Techniques used to organize, assess, and evaluate data and information." (Project Management Institute, "A Guide to the Project Management Body of Knowledge (PMBOK® Guide )", 2017)

"This is a class of statistical methods that make it possible to process a very large volume of data and identify the most interesting aspects of its structure. Some methods help to extract relations between different sets of data, and thus, draw statistical information that makes it possible to describe the most important information contained in the data in the most succinct manner possible. Other techniques make it possible to group data in order to identify its common denominators clearly, and thereby understand them better." (Soraya Sedkaoui, "Big Data Analytics for Entrepreneurial Success", 2019)

"The process and techniques for transforming and evaluating information using qualitative or quantitative tools to discover findings or inform conclusions." (Tiffany J Cresswell-Yeager & Raymond J Bandlow, "Transformation of the Dissertation: From an End-of-Program Destination to a Program-Embedded Process", 2020)

"Data Analysis is a process of gathering and extracting information from the data already present in different ways and order to study the pattern occurs." (Kirti R Bhatele, "Data Analysis on Global Stratification", 2020)

"A data lifecycle stage that involves the techniques that produce synthesized knowledge from organized information. A process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting 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." (CODATA)

"is the process of inspecting, cleansing, transforming, and modeling data to discover useful information, and support decision-making. The many different types of data analysis include data mining, a predictive technique used for modeling and knowledge discovery, and business intelligence, which relies on aggregation and focuses on business information." (Accenture)

"This discipline is the little brother of data science. Data analysis is focused more on answering questions about the present and the past. It uses less complex statistics and generally tries to identify patterns that can improve an organization." (KDnuggets)

"Data Analysis is the process of inspecting, cleansing, transforming, and modeling data to discover useful information, and support decision-making. The many different types of data analysis include data mining, a predictive technique used for modeling and knowledge discovery, and business intelligence, which relies on aggregation and focuses on business information." (Accenture)