NEW
Also known as: Consolidation Style MDM
An MDM style that consolidates and harmonizes master data into a central repository primarily for analytics and downstream consumption.
DESCRIPTION
The consolidated approach aggregates master data from sources to form golden records in a central store. It typically uses batch ETL and survivorship rules to resolve duplicates and inconsistencies. Consolidated hubs serve analytics, reporting, and downstream applications without being the system of record. This lowers operational impact while improving data quality and consistency. It is a common first step before coexistence or transactional styles.
ALTERNATIVE DEFINITIONS
Wikipedia
In the consolidation style, master data is collected from source systems, matched and merged to create a golden record in a central repository.
Defines the batch-oriented aggregation and merging characteristics.
Oracle
Consolidation-style MDM collects master data from across systems and builds a single version of the truth for analytics and downstream use.
Emphasizes analytic consumption and single-version-of-truth outcomes.
RELATED TERMS
Master Data Management Extract-Transform-Load Single Source of Truth Data Warehouse Batch Integration Survivorship Data Quality
COMPETING TERMS
Registry Architecture Transaction Hub Coexistence Style
KNOWLEDGE AREAS
Reference & Master Data Data Management Data Architecture Data Integration & Interoperability
TARGET AUDIENCE
Data Architect Data Engineer Data Steward BI Specialist Data Management Consultant
EXTERNAL SOURCES
- Wikipedia - Master data management
- Informatica - Consolidation style within MDM overview
- IBM - MDM styles including consolidation
TOP QUESTIONS
When should you use the Consolidated Approach?
Use it to improve analytical consistency without redesigning operational systems or introducing central authoring.
Category: Guidance
How does the Consolidated Approach differ from Registry Architecture?
Consolidation stores harmonized records centrally; registry maintains a cross-reference and leaves data in sources.
Category: Comparison
What data flows power a Consolidated Approach?
Batch ETL or micro-batches, with match-merge and survivorship logic to create golden records.
Category: Integration
What are typical outputs of a consolidated MDM hub?
Curated master data tables, reference datasets, and downstream feeds to warehouses or marts.
Category: Outcomes
What risks exist with the Consolidated Approach?
Latency between source updates and the hub can cause staleness; unclear survivorship can reduce trust.
Category: Risk
How does stewardship operate in consolidation?
Stewards review merges, resolve conflicts, and oversee quality metrics and business rules.
Category: Governance
Can the Consolidated Approach evolve to a Transaction Hub?
Yes, many organizations start with consolidation and progressively add authoring and event-driven distribution.
Category: Evolution
What performance practices apply?
Partitioned processing, incremental loads, and scalable matching reduce runtime and costs.
Category: Performance
How do you measure success?
Reduced duplicates, improved attribute completeness, and increased analytic adoption indicate success.
Category: Measurement