As data continues becoming a core part of how businesses operate and make decisions, managing data quality has never been so important.
Poor data quality can hit all enterprise levels hard, from marketers annoying prospects to supply chains becoming unable to automate processes properly.
In this second episode of the three-part EM360 Podcast series with Anomalo on data quality, Elliot Shmukler, Co-Founder and CEO at Anomalo joins Analyst Christina Stathopoulos to discuss:
- The right time for data quality monitoring
- What happens if you wait too long
- Who should be involved
Anomalo automatically detects data issues and their root causes, before anyone else. Data quality complaints take a toll on data teams and engineering. Anomalo helps you observe and get ahead of data issues, find and analyze root causes, and share them with your company – so everyone can feel confident in the data driving your business.
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