Data Analytics

What Is Data Analytics?
  • Data analytics is the science of analyzing raw data in order to make conclusions about that information.
  • Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.
  • Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information.
  • This information can then be used to optimize processes to increase the overall efficiency of a business or system.
Applications of Data Analytics

Increase your revenues and improve operational efficiency optimize marketing campaigns, customer service efforts.

Respond more quickly to emerging market trends and gain a competitive edge over rivals.

  • Big Data.
  • Data Science.
  • Data Analytics.
Why Data Analytics Matters
  • Data analytics is important because it helps businesses optimize their performances.

  • Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business and by storing large amounts of data.

  • A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new—and better—products and services.