Data quality is not a problem any single role can solve in isolation. The complexity and scale of modern data ecosystems necessitate a collaborative approach, where quality testing serves as a shared infrastructure across all data and analytics roles.
Failing the SLA was the price we paid for trust. And it was worth every second.
Data quality problems are ignored, rationalized, or swept aside. How do you tell if your team is in denial about data quality? Uncle Chip has provided a bingo card … play with your data team!
Pull up a chair, pour yourself a fresh cup, and get ready to talk shop—because it’s time for Data Quality Coffee Series with Uncle Chip.
You can’t test for what you don’t understand. And so, we don’t. We skip it. We assume. Or worse, we wait until something breaks. What is the solution? Uncle Chip tells!
We introduce a new, more effective approach to data quality assessments, enabled by DataKitchen’s free open-source software
In this playful yet pointed talk, Uncle Chip kicks things off by poking fun at the overcomplicated world of data quality dimensions that are rooted in an outdated era of static data, keeping teams locked in abstraction and inaction.
Data quality work is largely invisible. When everything is running smoothly, no one notices the effort behind it. But everyone notices the moment something breaks!
Surprisingly, the answer may comes from an unusual place.
Announcing Actionable, Automated, & Agile Data Quality Scorecards
DataOps Data Quality TestGen:
Simple, Fast, Generative Data Quality Testing, Execution, and Scoring.
[Open Source, Enterprise]
DataOps Observability:
Monitor every date pipeline, from source to customer value, & find problems fast
[Open Source, Enterprise]
DataOps Automation:
Orchestrate and automate your data toolchain with few errors and a high rate of change.
[Enterprise]
DataOps Consulting, Coaching, and Transformation
Commercial Data & Analytics Platform for Pharma
Data Production Teams
Data Science/AI
Data Engineering
Data Quality
Business Analytics
Data Products
Data Mesh
Data Contracts
ModelOps / MLOps
DataGovOps
Self-Service Operations
Data Quality Assessments
Data Quality Testing
Data Observability
Data Orchestration
Monitor every Data Journey in an enterprise, from source to customer value, in development and production.
Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.
Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.
