Data analytics is a method of extracting and drawing conclusions from data to make better decisions. This technology is fast rising. It uses artificial intelligence, statistics, and advanced market knowledge. Users gather this data to figure out essential patterns in large sets of data. Deploying smart analytics provides excellent insights into the phone number list performance metrics of a company. It also shows the complicated changes taking place there.
Types of Data Analytics
Generally, there are four types of data analytics. They are:
1. Descriptive Analytics
Descriptive analytics provides expository information. It answers the fundamental questions of what, who, where, when, and how many. It is not possible to have dashboards and Business Intelligence tools without it, because it is the backbone of reporting. We can further divide Descriptive Analytics into two groups: canned reports and ad hoc reporting. Canned reports contain information about a particular subject. An example is a monthly report providing information on ad performance. Ad hoc reporting is usually not scheduled.