Product Evaluation Framework

When evaluating the product as a whole, data quality is an essential feature to assess - see Data Quality Evaluation Framework. There are many more features that are important for a product to be successful for its users though. Below we detail the main features to consider.

Does the product offer value?

  • Statistical similarity

  • Machine learning efficacy metrics

  • Privacy & security metrics

  • Bias detection & data rebalancing performance

Is the product versatile?

  • Quality of documentation

  • Variety of scenarios & data types handled

  • Usefulness of included data quality assessment tools

Is the product easy to set up?

  • Time to deploy and install

  • Infrastructure scalability

Is the product quick to use?

  • Time to synthesize data

  • Scalability of data generation

  • User experience & usability