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If you have seasonal demand patterns, you generally need three years history to do good predictive analytics. I do tend to agree data from five years ago is ra
by gregw2 2y ago
If you have seasonal demand patterns, you generally need three years history to do good predictive analytics.
I do tend to agree data from five years ago is rarely relevant BUT our business is still using for some BI purposes data from the fiscal year before COVID as a comparison baseline for certain analytics/business processes which have been slow to reach pre-COVID levels of performance. So that means we are now using data 6 years old, comparing this year to that pre-COVID year for certain analytics!
- physicsguy 2y agoYeah 100%. I worked in wind energy for a while and the DS team would be pulling as much data as they could get to establish a baseline for normality due to seasonal trends in the wind. This also varied enormously around the world - for e.g. the UK is fairly windy all year, but India typically gets 2/3 of it's generated wind energy in the monsoon season which is about 3 months.