Data quality monitoring is a process that manages and ensures high-standard data within an organisation.&nbsp;Performed through strategies like automation and full-stack monitoring, companies set their own data quality metrics and KPIs to measure and evaluate it.&nbsp;&nbsp;In this episode of the EM360 Podcast, Analyst&nbsp;<a href="https://em360tech.com/user/3633" rel="noopener noreferrer" target="_blank">Christina Stathopoulos</a>&nbsp;speaks to&nbsp;<a href="https://www.linkedin.com/in/jeremystanley/" rel="noopener noreferrer" target="_blank">Jeremy Stanley</a>, Co-founder and CTO of&nbsp;<a href="https://em360tech.com/solution-providers/anomalo" rel="noopener noreferrer" target="_blank">Anomalo</a>, to discuss:<ul><li>Data quality monitoring in a data reliant market</li><li>Using unsupervised ML</li><li>Changes in the last 5 years</li></ul>

Safe Software: Making the Impossible Possible Using Spatial Data

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.