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, and confirmatory data analysis. EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical or structural 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.
The numerical value of data analysis in Chaldean Numerology is: 1
The numerical value of data analysis in Pythagorean Numerology is: 9
Sample Sentences & Example Usage
If a certain production step takes 40 seconds, and data analysis finds a way to shave four seconds from the process, output can be increased by up to 10 percent, and it doesn't cost us anything.
AI services in the workplace already can analyze workers’ e-mails to determine if they feel unhappy about their job, in the same way, AI can use the data-analysis technology (such as data monitoring) to determine if sexually suggestive communications are being sent.
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"data analysis." Definitions.net. STANDS4 LLC, 2017. Web. 16 Oct. 2017. <http://www.definitions.net/definition/data analysis>.