SA Info - Data quality
Our data runs through an extensive quality control process. We capture all potential issues in an automated and reliable way. Issues addressed are constantly being updated, since we continuously increase our data quality further, dive deeper into the data and explore more use cases.
Common issues include misspellings (e.g., Stefen King), different ways of writing names (e.g., H. P. Lovecraft vs. HP Lovecraft), data gaps in our input sources (e.g., no price available), wrong data in our input sources (e.g., miss categorized: "The Gift" in "Gift books" instead of "Thriller"), and many more.