Anomalo: Why Data Quality Monitoring is Essential

Anomalo

16/09/2022 09:24 AM

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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 market
Using unsupervised ML
Changes in the last 5 years

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Meet the panel

Christina Stathopoulos

Member Designation

Data Whisperer and Analytics Expert

Jeremy Stanley

Member Designation

Co-founder and CTO, Anomalo

To Read the full story

Data quality monitoring is a process that manages and ensures high-standard data within an organisation.

To Read the full story

Meet the panel

Christina Stathopoulos

Jeremy Stanley

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