Database analysis is the process of examining the contents of a database to identify the relationships between different data elements, determine the structure of the data, and assess the integrity and quality of the data. Database analysis is typically performed with specialized software tools that enable the user to visualize and analyze the data. Database analysis is an important part of the software development life cycle, as it helps to ensure that the data stored in the database is accurate and up–to–date. It also helps to identify any data discrepancies or errors in the database, allowing the user to take corrective action. Additionally, database analysis can help to identify areas where data can be optimized or improved.

1.  Data Modeling: Analyzing the data structure and relationship between different entities in the database.
2.  Data Integrity: Ensuring data accuracy and integrity of the database.
3.  Data Security: Ensuring data security in the database.
4.  Query Optimization: Optimizing the query performance of the database.
5.  Data Warehousing: Storing and managing large amount of data in the database.
6.  Data Mining: Analyzing the data to uncover patterns and trends.
7.  Data Visualization: Creating graphical representations of the data.
8.  Data Replication: Replicating the data across multiple databases.