Is Customer Journey Analytics the Future of Data Science or Just a Specialized Tool? Insights Needed!

[DhanA2]

I've seen many claims that Customer Journey Analytics (CJA) is replacing traditional data science workflows and reducing time to insights. I'm curious if CJA is intended to fully replace or serve as an alternative to the entire data science ecosystem, or if it addresses only specific pain points in data science reporting.

1. If CJA is meant to replace or serve as an alternative, at what level does it aim to do so?
2. If not, how does CJA fit alongside current data science ecosystems?

I’d appreciate insights from a business perspective on how companies should plan for CJA in relation to their existing data science practices.

Thanks for your support!
Tagging top contributors and experts for quick response
@brian_au @Josh__Stephens 

[AmanGu8]

@DhanA2  There are many tools available in the market for getting the insights and understanding the customer journey. So definitely it is not going to replace all other in the market but it is an alternative to other solutions. What makes CJA more popular or say the USP of CJA is that it is built on top of Adobe Experience Platform that comprises of multiple features such as unifying the customer profile, quering raw data, allowing data to undergo training models using ML etc. 

So in CJA, we can get a holistic 360 degree view for individual customers accurately because is stiches that profile from the data available in Data Lake of AEP whereas in other solutions data is unified from multiples CRMs and takes a lot of time and also sometimes the data is not that accurate or say not real time. But CJA provides Real time analyses and helps marketers to understand the journey for each individual accurately.