Question

List and describe four of the most critical success factors for Big Data analytics.

List and describe four of the most critical success factors for Big Data analytics.

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Answer #1

Data is nothing but the information that is available everywhere in different forms. It can be number, alphabet or symbols that are unorganized in structure which forms ideas or objects. Example experimental data that is collected by observation and recording for scientific research.

Big data analytics is nothing but large data sets that are used to analyze in order to establish the trends and patterns which influence behavior and interactions. These data are both structured and unstructured and includes large amount of data related to daily business activities. These data are analyzed to take informed business decisions.

The four of the most critical success factors for Big Data analytics include: -

  • It help the organization by providing information that is essential for proper functioning of the organization.
  • Any work in an organization requires information about different things. Information plays key role in any business. For example customer information, sales information and product related information are used to develop effective marketing strategies.
  • Success of the organization depends on the research done prior to taking any big decision or gaining knowledge about all aspects of the business.
  • Information is never ending. We can extract information from different sources but that will become complicated and time taking. Data warehousing extract the useful information required from the available data.
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