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The future of Customer Data Platform(CDP) an interview with Michael Katz (mParticle)

by | Sep 16, 2020 | Blog

Who is Michael Katz? He was a founder and CEO of interclick, which took it public in 2009 and sold to Yahoo in 2011 for $270M. Also co-founder and CEO of mParticle, the leading Customer Data Platform helping the worlds best brands unify data across all consumer touch points to optimize marketing outcomes and customer experience (CX).  MParticle started in 2013 as a customer data platform for brands to accelerate growth. It improves marketing, advertising, and analytics by connecting data seamlessly across channels.   How we know him? We as Data Scientists are working with different and various sources of data in #eCommerce and #Retail and develop a solution called Catwing, which helps us to make Data Science, structuring various data inputs, but soon we realize that there is a niche called #CustomerDataPlatform which we can keep eye on it and while we were researching we came up to one of the best videos explaining what is the Customer...
How to build your data science or machine learning model, when you store data into relational database for your e-commerce site.

How to build your data science or machine learning model, when you store data into relational database for your e-commerce site.

by | Jul 3, 2020 | Blog

Scope: The scope of this article is to share how to dive deeper into your e-comerce client data and start making data science relatively easy and cheap, when you need to deal with data from your database and you want to work with Python relying on Jupyter Notebook, where time of execution is important. Especially focusing on the relational database. We all store data into files or into databases and as Data Scientists we need to have fast access to it and to be able to train our models. Our task Now we have a task to build a model combining different sources from emails, click data which we capture, mobile apps and sales, see the diagram above. We have several different sources all stored into Postgres Database Tables with various foreign keys between each table. In order to process the data first we need to access it from the database, structure it and then start playing with it....