Appreciate your insights on peripheral data. Do you believe there's a threshold where accumulating peripheral data becomes indiscriminate data hoarding? How do we balance the benefits of data collection with concerns like information privacy, the rising costs of data processing due to increased volume, and other contemporary challenges?
This is such a tricky one and I don’t think there is a one size fits all answer. Part of the answer from an ethical perspective I think is to apply ‘the front page test’ - if everyone knew we were collecting this data, would they be OK with that?
That doesn’t address your cost question though. That’s perhaps where you need some experience to guide you. I would perhaps start with storing outcomes of key processes and always capturing change dates. Then when things prove useful / worth automating, you can start to collect behavioural data at a finer level around the areas of interest?
Appreciate your insights on peripheral data. Do you believe there's a threshold where accumulating peripheral data becomes indiscriminate data hoarding? How do we balance the benefits of data collection with concerns like information privacy, the rising costs of data processing due to increased volume, and other contemporary challenges?
This is such a tricky one and I don’t think there is a one size fits all answer. Part of the answer from an ethical perspective I think is to apply ‘the front page test’ - if everyone knew we were collecting this data, would they be OK with that?
That doesn’t address your cost question though. That’s perhaps where you need some experience to guide you. I would perhaps start with storing outcomes of key processes and always capturing change dates. Then when things prove useful / worth automating, you can start to collect behavioural data at a finer level around the areas of interest?