Gartner defines Analytic applications as packaged business intelligence (BI) capabilities for a particular domain or business problem. Flexible, traditional BI tools often lack the “packaging” required to facilitate adoption among most employees. Examples of packaging include a user interface suitable for casual users, predefined integration with standard business process applications, issue-specific data models and best-practice templates or wizards. 
Analytical applications are software tools that have been designed to perform specific tasks related to data analytics. They can be used by individuals working on a project or within an organization, depending on the nature of the tool.
Analytical applications can be used to perform tasks such as:
- Data Mining : The process of searching through large quantities of data in order to find patterns, trends or associations that may be useful. For example, a company may use data mining to find out which products are the most popular among its customers and what factors influence their purchasing decisions.
- Analytics : The process of analyzing data in order to make better decisions. For example, a retail company may use analytics to determine which products will be the most popular during the upcoming holiday season and how much of each product should be ordered.
- Data Visualization : The process of transforming data into visual representations such as graphs or charts. For example, a retail company could use data visualization to determine how much of each product it should order for the upcoming holiday season.