Hi there,
I was wondering if anyone has experience that they can advise on based on the following. As bit of background before any simple ideas are suggested:
I am a long-time Adobe Analytics / SQL / Tableau / Python user and was curious if anybody had thoughts on how they would approach YOY analysis for the following: Our business is in travel - but the same principle could be applied to retail to an extent - our performance is down YOY. There are many different things that could be driving it; for every quote, there are multiple locations/dates of travel/lengths of travel/number of options and, of course - price. In total, there are around 10 key dimensions/metrics, but each of these could be hiidden only showing itself when used in conjunction with something else - for example trips over 10 days in Spain. Some of these dimensions have 50+ options.
As you can imagine - this makes the analysis in workspace (other than a segment comparison) / tableau not possible and would need some kind of tool to analyse the data for me. Has anybody got any experience on a tool that they could recommend? We have our Adobe data in SQL if needed.
Thanks
Dave
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Sounds like a lot of interesting data to me!
If you are using CJA I attended a good breakout during summit where they were using python and plotly to do some cluster modeling with t-SNE that I think could be useful here. You could hopefully get a new perspective on your users.
As far as other "simple" ideas that I would think to look into would be:
From time to time I have used Adobe's contribution analysis to identify key dimension contributions.
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