Despite the smooth start, our team soon faced unpredictable access issues, with random bans throwing a wrench into the works. The precise reasons for these restrictions remained unclear, with hypotheses ranging from changes in the site’s policies to the site’s detection mechanisms identifying the traffic as suspicious, possibly due to geographical origin.

To address this issue, our team had to think on their feet, implementing creative server management strategies under the tight constraints of limited time and budget.

Eventually, a late-stage requirement emerged, transforming the system’s architecture from supporting single ownership of properties to enabling multiple owners. This step aimed to democratise system access but required considerable last-minute architectural overhauls, challenging our team to adapt quickly to meet the expanded needs of a diverse user base.

As a result, our team of experts undertook a multifaceted approach. We audited the existing datasets and pinpointed the most critical areas needing attention. Additionally, our experts refined the existing data annotations that lacked clarity, ensuring that each entry was accurately labelled.

Also, Altamira team introduced an iterative review process, where data quality was continually assessed at various stages of the project. This ongoing validation allowed for the early detection and rectification of emerging data issues, resulting in sustained improvements in data quality.