Developing a data product
When it comes to developing a data product, following best practices can make the difference between a solution that truly delivers value and one that falls short. Since you have some knowledge of data science, you understand the potential of data products to drive business outcomes, but you also know that the development process is not always straightforward.
In this section, we’ll cover the key stages of data product development and explore the best practices that top artificial intelligence/machine learning teams rely on to create successful solutions.
Data preparation and exploratory analysis
The first stage of developing a data product involves acquiring and analyzing the data the product will be built upon. We covered many techniques for this stage in Chapters 2 and 3.
The following tasks are included within the data preparation and exploratory analysis stage:
- Identify and acquire relevant data sources
- Perform data cleaning...
