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
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Segment
Type
Classification
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
MethodMetadata & Lineage

Business Glossary Management

Efficient management of business glossaries to enhance communication and knowledge transfer.

#Delivery#Governance
MethodMetadata & Lineage

Lineage Analysis

A method for tracing and analyzing data flows within complex systems.

#Data#Analytics
MethodMetadata & Lineage

Metadata Management Processes

A structured approach to managing metadata in organizations.

#Data#Analytics
ConceptMetadata & Lineage

Business Glossary

A business glossary documents terms and concepts used within the organization to promote a shared understanding.

#Product#Delivery
ConceptMetadata & Lineage

Data Catalog

A data catalog is a central resource for managing data inventories.

#Data#Platform
ConceptMetadata & Lineage

Data Lineage

Data lineage describes the origin and flow of data through systems and processes.

#Data#Analytics
ConceptMetadata & Lineage

Metadata Management

Metadata management involves the administration, organization, and utilization of metadata to enhance data access and use.

#Data#Analytics
MethodPolicies & Standards

Architecture Decision Record (ADR)

An architecture decision record documents decisions about system architectures.

#Architecture#Software Eng.
MethodPolicies & Standards

Change Control

Change Control is a process for systematically managing changes within an organization to minimize risks and ensure quality.

#Observability#Reliability
MethodPolicies & Standards

Data Classification

Data classification refers to the systematic categorization of data to enhance its use, security, and management.

#Data#Analytics
MethodPolicies & Standards

Data Classification Process

The data classification process is a structured approach to categorizing data based on its sensitivity and value.

#Data#Analytics
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