Monte Carlo reposted this
Data & Analytics Leadership | Pragmatic Marketing Certified; Ex Bazaarvoice, HomeAway, Shiftkey
Happy Hump day data rockstars! So many people are talking about the correlation between data quality and AI and love that the attention that is finally being paid to the actual core driver of AI success. Here is a reminder of some concepts of why you need to implement #dataobservability tools. Improved Data Reliability: Helps you understand the full data pipeline and why things are happening the way they are. No more worrying about "is the data doing what it is supposed to?". Ensure Data Freshness: In a pipeline where you are getting millions of records per hour, you need confidence that you are getting the expected data changes (add, deletes, etc). Have you ever had to say after a day of stale dashboards, "we aren't getting the data from the source". You need to know immediately. Early Detection of Issues: From broken data contracts to pipeline delays, you can know right away, lowering the impact to the business. Data Drift: This is when the properties of data change over time in ways you didnt expect or data might be introduced to training sets that isn't the right context for use case. Observability tools can identify these changes. Data Governance: You should always know the path of data, who is using it and how it's used. Observability tools give you this information and documents these items. Just the beginning of the value of observability. Hit me up if you have questions. #data #analytics #ai Monte Carlo
