D - Definitions

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  • D

    data curation

    Data curation is the process of creating, organizing and maintaining data sets so they can be accessed and used by people looking for information.

  • data exploration

    Data exploration is the first step in data analysis involving the use of data visualization tools and statistical techniques to uncover data set characteristics and initial patterns.

  • data journalism

    Data journalism in an approach to writing for the public in which the journalist analyzes large data sets to identify potential news stories.

  • data mining

    Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.

  • data sampling

    Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points to identify patterns and trends in the larger data set being examined.

  • data science as a service (DSaaS)

    Data science as a service (DSaaS) is a form of outsourcing that involves the delivery of information gleaned from advanced analytics applications run by data scientists at an outside company to corporate clients for their business use.

  • data visualization

    Data visualization is the practice of translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and pull insights from.

  • days sales outstanding (DSO)

    Days sales outstanding (DSO) is the measurement of the average number of days it takes a business to collect payments after a sale has been made.

  • decision-making process

    A decision-making process is a series of steps one or more individuals take to determine the best option or course of action to address a specific problem or situation.

  • deep analytics

    Deep analytics is the application of sophisticated data processing techniques to yield information from large and typically multi-source data sets comprised of both unstructured and semi-structured data.

  • What is data preparation? An in-depth guide to data prep

    Data preparation is the process of gathering, combining, structuring and organizing data so it can be used in business intelligence (BI), analytics and data visualization applications.

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