Remove Business Intelligence Remove Data Architecture Remove Data Warehouse Remove High Quality Data
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[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Monte Carlo

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? What is a decentralized data architecture?

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Celebrating the New Pioneers of Data Reliability

Monte Carlo

Hotjar’s data engineering team supports over 180 stakeholders and their data needs, from deploying models and building pipelines to keeping tabs on data health. Their artificial intelligence data-driven platform relies on high-quality data to make coverage recommendations for customers.

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How to Treat Your Data As a Product

Monte Carlo

For example, when you think about a data warehouse , it’s really just a codebase—primarily composed of SQL—that’s serving internal customers like other analysts, data scientists, and product managers who are using that data to go and make business decisions.

Data 52
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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Go Deep On Key Business Metrics Avoid Costs 30. Data Warehouse (Or Lakehouse) Migration 34. Integrate Data Stacks Post Merger 35. Know When To Fix Vs. Refactor Data Pipelines Improve DataOps Processes 37. “We Keeping these revenue generators online and accurate is a common data observability use case.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Go Deep On Key Business Metrics Avoid Costs 30. Data warehouse (or Lakehouse) migration 34. Integrate Data Stacks Post Merger 35. Know When To Fix Vs. Refactor Data Pipelines Improve DataOps Processes 37. “We Keeping these revenue generators online and accurate is a common data observability use case.