DATA ANALYTICS
Data analytics transforms raw data into actionable insights. It encompasses a wide range of tools, technologies and processes used to find trends and solve problems using data. Data analytics can shape business processes, improve decision-making, and drive business growth.
Why is data analysis important ?
Data analytics is important because it helps companies optimize their performance. Implementing it into the business model means that companies can help reduce costs by identifying more efficient ways of doing business. Businesses can also use data analytics to make better business decisions and help analyze trends and customer satisfaction, which can lead to new and better products and services.
What are the 4 types of data analysis ?
Data analytics is divided into four basic categories. Descriptive analysis describes what happened over a period of time. Diagnostic analysis focuses more on why something happens. Predictive analytics looks at what is likely to happen in the near term. Finally, the proposal analysis proposes an action plan.
Who uses data analytics ?
Data analytics has been adopted by a number of industries, such as the travel and hospitality industry, where turnaround times can be quick. The industry can collect customer data and figure out where the problems lie, if any, and how to fix them. Healthcare is another area that combines the use of large volumes of structured and unstructured data, and data analytics can help make decisions quickly. Likewise, the retail industry uses vast amounts of data to meet the ever-changing needs of shoppers.