Building data analytics software involves several steps, including:

1. Identify the problem you want to solve: Before you start building data analytics software, it is important to identify the problem or need that you want to address. This will help you focus your efforts and ensure that your software provides value to users.
2. Collect and clean the data: Once you have identified the problem you want to solve, the next step is to collect and clean the data you will use to build your analytics software. This involves gathering data from multiple sources, checking for accuracy and completeness, and preparing it for analysis.
3. Develop the analytics algorithms: The core of any data analytics software is the algorithms that perform the analysis. Develop algorithms that can extract insights from the data, such as identifying trends or detecting patterns.
4. Build the user interface: The user interface (UI) is the part of the software that users interact with. Design a user-friendly UI that allows users to easily access and interact with the data and analytics results.
5. Test and iterate: Before releasing your data analytics software to users, it is important to test it thoroughly to ensure it is reliable and accurate. After testing, use feedback from users to iterate and improve the software.

By following these steps, you can build data analytics software that helps users extract valuable insights from their data.