I use a lot for my bookings, but one thing which constantly bugs me are the e-mails after a booking – stating “The prices for [CITY YOU JUST BOOKED] just dropped again!”. Really,!? It happend to me several times already that I booked a Hotel and after some hours I received a message that the prices in this city just dropped. This is a perfect sample of how to do data science wrong

How to do data science wrong

So, I am wondering if this happens on purpose or rather on incident. If we would expect it to happen on purpose, I would like to question the purpose of it. I just booked a Hotel and was sure that I got a good deal. But – sorry – you spent more 😉 No, I don‘t think so. I believe it rather the opposite: incident.

I do expect that is having some issues with either data silos or with the speed of the data. Either there is no connection between the ordering system and the campaigning system and thus the data doesn‘t flow between those two systems. After some time, I receive getting messages, so I think that the systems aren‘t built to handle this topic in real-time.

You order something on – the system is probably optimised on bringing this order process through, send and receive information from their (hotel) partners, … – but they don‘t update the data on the CRM or Marketing systems, that create adds. Now, my suggestion is that once you book a hotel, tracks that you looked at a specific city. This is then added to their user database and the marketing automation tool is updated.

However, the order process seems to be totally de-coupled from this process and doesn‘t receive the data about this fast enough – and most likely, their marketing automation system is set to „aggressive“ marketing once you have looked up a city – and sends recommendations often. This then leads to some discrepancy (or consistency) in their systems.

For me, this is also a great example of eventual consistency in database design. At some point,‘s systems will all be up-to date, so they stop re-targeting you. However, their eventual in the consistency is very, very late 🙂

Let me know what experiences you had.

This post is part of the “Big Data for Business” tutorial. In this tutorial, I explain various aspects of handling data right within a company. All credits in here go to the fabulous!