Data orig

• Data analytics


  The science of analysing raw data in order to make conclusions about that information
• Data analytics


  The process of examining datasets to draw conclusions about the information they contain
• Data analytic techniques


  • Enable you to take raw data and uncover patterns to extract valuable insights from it
• Specific benefits of data analytics

  • Improved Decision Making
  • More Effective Marketing
  • Better Customer Service
  • More Efficient Operations
• Improved Decision Making


  • Companies can use the insights they gain from data analytics to inform their decisions, leading to better outcomes
  • Data analytics eliminates much of the guesswork from planning marketing campaigns, choosing what content to create, developing products and more
  • It gives a much clearer view of what customers needs, which means better understanding, enabling companies to meet customer needs better
  • With modern data analytics technology, companies can continuously collect and analyze new data to update their understanding as conditions change
• More Effective Marketing


  • Better understanding of customer leads to more effective marketing
  • Data analytics also gives useful insights into how marketing campaigns are performing so that fine-tuning can be made for optimal outcomes
  • Using Analytics tool, companies can gain insights into which audience segments are most likely to interact with a campaign and convert. This information can also be used to adjust targeting criteria either manually or through automation, or use it to develop different messaging and creative for different segments
• Better Customer Service


  • Data analytics provide companies with more insights into their customers, allowing them to tailor customer service to their needs, provide more personalization and build stronger relationships with them
  • Data can reveal information about your customers' communications preferences, their interests, their concerns and more. Having a central location for this data also ensures that your whole customer service team, as well as the sales and marketing teams, are on the same page
  • Data analytics can help streamline your processes and save money. An improved understanding of what customer wants means less time on creating ads and content that don't match customer's interests
  • In addition to reducing costs, analytics can also boost your revenue through increased conversions, ad revenue or subscriptions
• Types of data analytics

  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics
  • Prescriptive analytics
• Descriptive analytics


  Describes what has happened over a given period of time
• Diagnostic analytics


  Focuses more on why something happened. This involves more diverse data inputs and a bit of hypothesizing
• Predictive analytics


  Moves to what is likely going to happen in the near term
• Prescriptive analytics

  Suggests a course of action
• Data analyst


  • Exists at the intersection of information technology, statistics and business
  • Combines these fields in order to help businesses and organizations succeed
  • The primary goal is to increase efficiency and improve performance by discovering patterns in data
• Role of data analyst


  • Involves working with data throughout the data analysis pipeline
• Travel and hospitality industry -this industry can collect customer data and figure out where the problems, if any, lie and how to fix them.
• Healthcare combines the use of high volumes of structured and unstructured data and uses data analytics to make quick decisions.
• The retail industry uses large amounts of data to meet the ever-changing demands of shoppers. The information retailers collect and analyze can help them identify trends, recommend products, and increase profits.