Segments

Data Strategy & Data Governance

Data Strategy and Data Governance refers to the development and implementation of strategies for effective data management within an organization.

Model order
  1. Knowledge domains
  2. /Thematic areas
  3. /Segments
  4. /Building blocks
View
Segment
Type
Classification

Data Quality & Controls

This segment describes how data quality is defined, measured, and controlled. It covers quality dimensions, validation rules, control points, escalation logic, and processes for handling deviations and continuous improvement. The focus is on traceable quality and effective controls, independent of specific role models or metadata and lineage implementations.

MethodData Quality & Controls

Continuous Data Quality Monitoring (CDQM)

Continuous Data Quality Monitoring ensures the ongoing monitoring and improvement of data quality within organizations.

#Data#Analytics
MethodData Quality & Controls

Data Profiling

Data profiling is the process of analyzing datasets to compile statistics about data content and structure.

#Data#Analytics
MethodData Quality & Controls

Data Quality Assessment

A method for assessing the quality of data in a system.

#Data#Analytics
MethodData Quality & Controls

Root Cause Analysis (RCA)

A structured approach to identify the root causes of problems.

#Product#Delivery
ConceptData Quality & Controls

Data Controls

Data controls are essential measures to protect and ensure the integrity of data.

#Data#Analytics
ConceptData Quality & Controls

Data Observability

Data observability enables monitoring, analyzing, and understanding data flows in real-time.

#Data#Analytics
ConceptData Quality & Controls

Data Observability Platforms

Data Observability Platforms enable organizations to gain insights into their data pipelines to ensure data integrity and availability.

#Data#Platform
ConceptData Quality & Controls

Data Quality Management (DQM)

Data Quality Management (DQM) is a systematic approach to ensuring the accuracy, completeness, and reliability of data.

#Data#Analytics
ConceptData Quality & Controls

Data Validation

Data validation is the process of verifying and ensuring the accuracy and quality of data.

#Data#Analytics
ConceptData Quality & Controls

Master Data Management (MDM)

Master Data Management (MDM) manages and harmonizes critical enterprise data across different systems.

#Data#Analytics
ToolData Quality & Controls

Great Expectations

Great Expectations is a powerful framework for validating and documenting data pipelines.

#Data#Platform
ToolData Quality & Controls

Monte Carlo

Monte Carlo is a tool for managing and analyzing uncertainties in data projects.

#Data#Analytics
ToolData Quality & Controls

Soda

A powerful tool for data analysis and visualization.

#Data#Analytics