This is often called 'data about data' and provides context such as structure, format, and creation details
What is metadata?
The continuous process of tracking, observing, and evaluating data to ensure its quality, accuracy, and reliability
What is Data monitoring?
This framework involves defining and implementing policies, standards, and procedures for data collection, ownership, storage, processing, and use of organizational data
What is Data Governance ?
This concept tracks data from its origin through transformations to its destination, helping identify errors and dependencies.
What is Data Lineage?
The process of 'raising the flag' when a data anomaly is detected.
What is an Alert?
These formal documents define rules and responsibilities for managing/maintaining data within an organization
What are Data Governance policies?
Understanding this type of data is critical because it represents the original input before any processing or transformation
What is source data?
This tool provides data observability functionality and monitoring and assess our CNP data
What is Monte Carlo? Data Quality Assessment tool
This outlines how an organization collects, uses, stores, and shares personal information from users, ensuring transparency
What is Data Privacy?
Centralized repository of business terms and their clear definitions used across an organization to ensure consistent understanding and communication about data and business concepts
What is a Glossary/Term?
This provides insights into the attributes, quality, structure of a dataset, null values, patterns within datasets and statistical measures like mean, min and max values
What is Data Profiling?
This refers to the consistency, accuracy, and completeness of data over time. It is crucial for ensuring that data can be trusted for decision-making and analytics
What is Data Reliability?
This tool provides an organized inventory of data assets, enriched with metadata for easy discovery and usability
What is Data Catalog ? (Atlan)
Name two dimensions of data quality that ensure data is fit for its intended purpose
What are accuracy and completeness ? ( timeliness, consistency , validity)
The practice of enriching, collecting, organizing, and maintaining data so that it can be efficiently used, analyzed and accessed for business decisions and operations
What is metadata management?