Data Management

Data Management is an essential part of transition delivery. Enterprise Architects supports the DAMA-DMBoK processes. Within the Enterprise Architects approach Meta Data Management and Master Data Management plays an important role.

Also see Strategy Modeling/Conceptual Object Modeling

Problems and Solutions

The contemporary approach often doesn’t use a 3-layer data approach resulting in the impossibility to apply master data management, meta data management, data governance, etc.

The Enterprise Architects solution uses the 3-layer (conceptual, logical, physical) data approach in which the business objects of the logical layer are specializations of the enter objects of the conceptual layer – thus diminishing duplicates, enabling the business to define their required data and information independent of the storage (data objects in the physical layer) structure in databases and enabling the possibility to map data attributes between the different objects and thus generated messages and services or APIs between the layers. This results in higher flexibility, loosely coupling, the 5-layer architecture, the possibility to contain the physical data as a solution for solving legacy problems, etc.

Tools to support Data Management

The following tools and solutions support Data Management:

• Solutions
  • DAMA – DMBoK processes
    The Enterprise Architects’ solution supports the 11 DAMA – DMBoK processes:

1. Data Governance
2. Data Architecture
3. Data Modeling & Design
4. Data Storage & Operations
5. Data Security
6. Data Integration & Interoperability
7. Documents & Content
8. Reference & Master Data
9. Data Warehousing & Business Intelligence
10. Meta Data
11. Data Quality

Advantages of the Enterprise Architects approach

1. Use the full DAMA DMBok stack of processes
2. Use 3-layer approach resulting in higher data quality, ease of use to generate services, etc.
3. The SAFe™ Core Values are safeguarded and improved as follows
   • Alignment
   • Built-in Quality
   • Transparency