Data as a Product
I found that we’re all talking about data products, and managing data as a product, but there weren’t any decent examples of what “good” looks like.
I also heard equal views that managing data is the same as other products, vs. ones who said it’s different.
So here’s the questions:
- Do we really manage our data as a product?
- What does that mean for customers?
- Is a data product really that different from a traditional product?
- And what can we learn from other more established industries about their products, and apply them back to our fledgling data product space?
I looked at the automotive space to compare a car that we might consume vs. data. There are a number of different facets, or dimensions to the product management, and no doubt I have missed some.
Here’s my list:
- Product Usability
- Product Reviews
- Product Support
- Product Usage
- Product Safety and Security
- Product Traceability
- Product Identification
- Product Specification
- Product Inventory
- Product Registry
- Product Quality
- Product Documentation
- Product Consumption
The full article which discusses each can be read here https://www.dataversity.net/data-as-a-product-what-we-can-learn-from-more-established-industries/
Comments welcome – what differences and similarities do you see ?
Jeremy Posner, VP Product & Solutions, RAW Labs.
Want to learn more?
- Take a tour of our Demo Catalogue
- Have Questions / Comments? Ask away – join our Community discussion!
- Read our Tutorials and Getting Started Docs
- Why not follow us on LinkedIn, Twitter, YouTube
- Like code? head on over to GitHub
- Developer? Join us! we are looking for bright minds – at all levels of seniority, in databases, distributed systems, UI/UX.
RAW Data Product Platform
Read more about our RAW Data Product Platform, including challenges it is designed to solve, and components of the solution
Resource-Intensive Data Products: "Calculation-as-a-Service"
Some Data Products are simple, but there's plenty that are more complex, involving calculations, models and other longer-running and resource intensive workloads.
Reference Data Standard Library
Standard Libraries are a commonly known construct in programming. Same for data; we show how to use RAW to surface and standardise data into APIs