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data analytics (DA)

Data analytics, orDA, takes a broad approach to increasing business efficiency. The difference between data analytics and data analytics is that the goals of data analytics are focused on individual business activities.

Data analytics involvesexaminingdata sets for the information they contain. Data analytics is used in businesses as well as in academia and research. Thanks to data analytics, companies can make more efficient business decisions from the information they obtain. As for science, data analytics can verify scientific models and algorithms.

Data analytics works with a wide variety of application programs. For example, business intelligence( BI) for accessing company data, reporting for reporting, online analytical processing( OLAP) for preparing large amounts of data, big data analytics for analyzing big data for hidden patterns, relationships not yet recognized, market trends, preferred customer behavior and other operational information, among others.

The purpose of data analytics is to improve efficiency, optimize marketing activities, identify new trends and ultimately increase sales and profits.

Englisch: data analytics - DA
Updated at: 27.09.2017
#Words: 159
Links: data, information, arsenic (As), application (app), business intelligence (BI)
Translations: DE

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