Data Observability
Data Observability
How Accolade Builds Trust in Data Decisions by Leveraging a Data Observability Framework
Learn how Accolade's data team saved 40 hours a month by operationalizing data observability.
Data Quality
Becoming a Data Owner: Roles, Responsibilities, and 4 Best Practices
A data owner doesn't just stare lovingly at spreadsheets all day. They actively oversee your data assets to maintain their value, ensuring that your data lake doesn't become a swamp.
Data Observability
Most Data Quality Initiatives Fail Before They Start. Here’s Why.
Show me your data quality scorecard and I’ll tell you whether you will be successful a year from now.
Data Observability
What is Data Timeliness? It’s the Boost Your Business Needs
The difference between success and failure for your data team may be based on data timeliness.
AI Observability
Generative AI Use Case: Using LLMs to Score Customer Conversations
Learn how the AssuranceIQ team built a generative AI use case to structure unstructured data and score customer conversations for developing their sales and customer support teams.
Announcements
Just Launched: (No Code) Validation Monitors
Easily deploy deep data quality checks with Monte Carlo.
Data Observability
Supporting Global Expansion and Critical Data Products: How PrimaryBid Ensures Data Reliability at Scale
Learn how PrimaryBid rebuilt their data stack to ensure reliable data across global markets and how data observability has played a crucial role in their expansion.
Case Studies
Mission Lane: Continuous Compliance Monitoring
This article provides an overview of a newly developed approach to an always on compliance testing strategy at Mission Lane.
Data Quality
Just Launched: AI Anomaly Detection For SQL Server
Plus, we've launched a new connection option with Azure Private Link!
Read more related stories
Data Platforms
Data Ingestion: 7 Challenges and 4 Best Practices
Data ingestion involves collecting data from source systems and moving it to a data warehouse or lake. Read on for the top challenges and best practices.
Data Observability
Data Observability: How to Build Your Own Data Anomaly Detectors Using SQL
How to use metadata to understand the root cause of data anomalies and take your data quality testing to the next level.
Data Observability
Demystifying Data Observability
3 practical examples on how to get started with data observability
Case Studies
How Checkout.com Achieves Data Reliability at Scale with Monte Carlo
Learn how Checkout.com gained visibility into data across domains, scaled data quality checks, and achieved reliability at scale.
Case Studies
How Swimply Built Its Hyper Growth Data Stack with Snowflake, Fivetran, and Monte Carlo
Learn how Swimply, the two-sided experiences marketplace, delivers reliable, trustworthy data with Monte Carlo, Snowflake, and Fivetran.
Case Studies
How The Farmer’s Dog Achieves Self-Serve Data Observability with Monte Carlo
How the data team at The Farmer's Dog, a fresh dog food company, achieves reliable data pipelines with automated, end-to-end data observability.