I used customer data as an example to show how a data product can be created. Including a portion of my presentation.
Creating a data product for customer data involves several key steps, from data collection and preprocessing to analysis and visualization. Here's a general guide on how to create a data product for customer data, along with some references for further reading:
Here are some additional tips for creating a successful data product for customer data:
In my next post, I'll illustrate examples of a data model and the data contract for 'product'izing customer data.
Sash Barige
July/21/2022
References:
https://martinfowler.com/articles/products-over-projects.html
https://cloud.google.com/architecture/designing-developing-and-deploying-a-data-product-on-gcp
"The Data Warehouse Toolkit" by Ralph Kimball - A classic resource on data warehousing and data integration.
"Data Science for Business" by Foster Provost and Tom Fawcett - A book that provides insights into the practical application of data science in a business context.
Online courses and tutorials on platforms like Coursera, edX, and Udacity, which offer data science and machine learning courses.
Documentation and tutorials from libraries and tools like Pandas, Scikit-Learn, Tableau, and Power BI for specific technical guidance.
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