Difference between revisions of "Data analysis"
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Revision as of 19:06, 20 March 2018
Data analysis (also known as, Analysis of data or data analytics) is a process of inspecting, cleansing, 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.
Definitions
According to Educaship Alliance LLC,
Data analysis. The process of evaluating data using analytical and logical reasoning to examine each component of the data provided. This form of analysis is just one of the many steps that must be completed when conducting a research experiment. Data from various sources is gathered, reviewed, and then analyzed to form some sort of finding or conclusion. There are a variety of specific data analysis method, some of which include data mining, text analytics, business intelligence, and data visualizations.
Inspiring quotes
- Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. --Geoffrey Moore
- I never guess. It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts. --Sir Arthur Conan Doyle