The most common causes of data loss in solar projects include:
- Human Error: Incorrect manual entries or outdated information can lead to data inaccuracies. Manual data collection processes are prone to mistakes, affecting the reliability of the data used for decision-making.
- Disconnected Systems: Poorly integrated platforms and software result in dispersed or incomplete information. When multiple companies and software are involved in a project, they often use different formats and systems, leading to inconsistencies and data loss.
- Lack of Automation: Manual data collection without constant updates can lead to omissions or delays. This lack of automation means that any gaps in data collection can result in incomplete datasets, hindering project management.
- Software Incompatibility: Moving data between different software platforms during project designing can compromise data quality and lead to data loss.
Addressing these issues can be achieved through the implementation of real-time data collection systems, which centralize data and automate the collection process to prevent losses and ensure accuracy.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/what-are-the-most-common-causes-of-data-loss-in-solar-projects/
