Using ML to Improve Data Quality and Drive Customer Preference
- 47 minutes watch
The nation’s largest grocery chain knows it must build relevance, loyalty, and authority with its customers in order to command customer preference.
It has responded with innovative solutions to provide fresh food for everyone – both online and in-store. But to build trust among its internal and external customers, the grocery chain needs to have concrete, unimpeachable product catalog data quality. CoStrategix has supported the grocery chain in its journey to apply advanced analytics models to enhance data quality and enrich data to deliver on business outcomes.
This presentation from the UC Analytics Summit 2022 is a case study with Kroger of our collaborative journey across five big data challenges with five different solutions.
Speakers
Perry Seal – Senior Product Manager at Kroger
It has responded with innovative solutions to provide fresh food for everyone – both online and in-store. But to build trust among its internal and external customers, the grocery chain needs to have concrete, unimpeachable product catalog data quality. CoStrategix has supported the grocery chain in its journey to apply advanced analytics models to enhance data quality and enrich data to deliver on business outcomes.
Mini Rajkumar – Advanced Software Engineering Manager at Kroger
It has responded with innovative solutions to provide fresh food for everyone – both online and in-store. But to build trust among its internal and external customers, the grocery chain needs to have concrete, unimpeachable product catalog data quality. CoStrategix has supported the grocery chain in its journey to apply advanced analytics models to enhance data quality and enrich data to deliver on business outcomes.
