Anomalo: Why Data Quality Monitoring is Essential

Data quality monitoring is a process that manages and ensures high-standard data within an organisation. Performed through strategies like automation and full-stack monitoring, companies set their own data quality metrics and KPIs to measure and evaluate it.  In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Jeremy Stanley, Co-founder and CTO of Anomalo, to discuss:Data quality monitoring in a data reliant marketUsing unsupervised MLChanges in the last 5 years

Om Podcasten

Making the most out of your data can feel overwhelming. Not only do many businesses have more data than they know what to do with, but they also often struggle to gain insights from some of the most valuable data in their possession, leading to many of their crucial data assets going unused. Whether it's issues with data quality, visualization, or management, getting lost in the sea of enterprise data at your possession can make it impossible to make smart, data-driven decisions that improve your business. The "Don't Panic! It's Just Data" podcast delves deep into the power of enterprise data. From groundbreaking vendor solutions to expert-backed best practices for making the most of your data assets, join us as we gather insights from leading tech vendors and professionals who depend on data daily.