In terms of data, when I started in 2018, the database for IBM ELM was around 200 to 300 weeks. Now, in 2023, it's grown to 15 terabytes.
The main use cases include RTP, API, and PI planning, sprint planning, data planning, defect fix tracking, and other related activities.
We have a custom process specific to our organization, which we internally developed. Each project has related V&V requirements and RQM testing projects. These projects are version-controlled and GRC-enabled, creating a complex GRC hierarchy and structure.