
The Quality Cockpit evaluates your overall data quality score, the elasticity score of the product and the model’s accuracy.
Data quality, in general, is the measure of how well-suited a data set is to serve its specific purpose. The score here informs the quality of the input data. SYMSON provides advice on where more work is needed, in terms of quantity, variance or correlation. To become a data-driven company, you need proper data quality in order to use big data and AI recommendations.
This feature shows you the quality of the model itself, i.e, how accurate the recommendations are and if it is a validated result for the given data set.
Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.
Our data lake centralises all your relevant and historical pricing data. The API, marketplace and validator enable easy connectivity of your systems, as well as your external and competitor data.
The Quality Cockpit evaluates your overall data quality score, the elasticity score of the product and the model’s accuracy.
Data Quality Recommendations
Data quality, in general, is the measure of how well-suited a data set is to serve its specific purpose. The score here informs the quality of the input data. SYMSON provides advice on where more work is needed, in terms of quantity, variance or correlation. To become a data-driven company, you need proper data quality in order to use big data and AI recommendations.
Data quality, in general, is the measure of how well-suited a data set is to serve its specific purpose. The score here informs the quality of the input data. SYMSON provides advice on where more work is needed, in terms of quantity, variance or correlation. To become a data-driven company, you need proper data quality in order to use big data and AI recommendations.
This feature shows you the quality of the model itself, i.e, how accurate the recommendations are and if it is a validated result for the given data set.
Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.
Our data lake centralises all your relevant and historical pricing data. The API, marketplace and validator enable easy connectivity of your systems, as well as your external and competitor data.