Spend less engineer and data scientist time on quality problems, and save money.
Full function alert notification integrated with message app and third party oncall service API
Provide central and unified monitoring for pipelines, eliminating service silos and communication barriers
In e-commerce, study showed that it only costs $1 to implement data quality check at the collection time, $10 to fix the data quality issues later, and $100 to do nothing about the bad data. It is called 1-10-100 rule. The sooner you address the data quality issues, the better.
Game development in today's market is more and more data driven. Game analytics is used to understand player behavior and increase use engagement. Poor quality data misdirects game designers to irrelevant features, instead of double down on the more engaging game mechanics.
ML powered personalization is a key pillar for online entertainment providers to allow users to experience content tailored to their interests. Harvard Business Reviews cited poor data quality as #1 road block for the wide adoption of ML application.
20660 Stevens Creek Blvd. Suite 107
Cupertino, CA 95014