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.
Verify Results and Effectiveness of pricing strategies
Demonstrate the ROI of SYMSON with data
Gain more margin by implementing AI Prices
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.
Get valuable insights into your pricing process
Optimise Prices using AI Recommendations
Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.
Track changes in supplier costs
Track Competitor Prices
Use Competitor prices to find optimal market position
Gain marketshare using competitive pricing strategy
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.
Understand SYMSON’s pricing logic
Modify prices to better capture value.
Identify trends from sales history
Stay informed on market trends
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.
Verify Results and Effectiveness of pricing strategies
Demonstrate the ROI of SYMSON with data
Gain more margin by implementing AI Prices
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.
Get valuable insights into your pricing process
Optimise Prices using AI Recommendations
Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.
Track changes in supplier costs
Track Competitor Prices
Use Competitor prices to find optimal market position
Gain marketshare using competitive pricing strategy
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.
Understand SYMSON’s pricing logic
Modify prices to better capture value.
Identify trends from sales history
Stay informed on market trends
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.
Verify Results and Effectiveness of pricing strategies
Demonstrate the ROI of SYMSON with data
Gain more margin by implementing AI Prices
Notifications
Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.
Track changes in supplier costs
Track Competitor Prices
Use Competitor prices to find optimal market position
Gain marketshare using competitive pricing strategy
Data Lake
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.
Understand SYMSON’s pricing logic
Modify prices to better capture value.
Identify trends from sales history
Stay informed on market trends
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.
Verify Results and Effectiveness of pricing strategies
Demonstrate the ROI of SYMSON with data
Gain more margin by implementing AI Prices
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.
Get valuable insights into your pricing process
Optimise Prices using AI Recommendations
Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.
Track changes in supplier costs
Track Competitor Prices
Use Competitor prices to find optimal market position
Gain marketshare using competitive pricing strategy
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.
Understand SYMSON’s pricing logic
Modify prices to better capture value.
Identify trends from sales history
Stay informed on market trends
