Army Data Architecture

data main graphicData Transformation in the Army requires addressing not only the technical challenges of net-centricity, but the associated managerial and goverance challenges as well. The Army has developed a data management plan to facilitate the successful migration to net-centric operations by coordinating technical implimention (common Army Data Framework and specification), sound governance, data management, and data quality processes that reduce the risks associated with migrating data across systems and platforms.  The capstone document of the data management program is the Army  Data Transformation Plan. 

This figure depicts the Army Data Transformation Approach to manage Army data. The approach consists of six phases: Accountable, Authoritative, Transform, Expose, Register and Assess. Note that while the approach calls them “phases”, they can and will be performed concurrently.

 

 

 

 

 

 

For a complete listing of Army data products please visit the Army Data Products Catalog.

Phase One - Accountable

Implementing the data governance structure that is responsible and accountable for implementing data management across the Army Enterprise and achieving net-centric data, thus institutionalizing net-centric data management. The Army Data Board, Army Data Council, Chief Data Officer and Army Data Stewards are individual components of Army's data governance Structure.

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Phase Two - Authoritative

Identifying master data elements and authoritative data sources, ensuring the most accurate, current data is managed, visible, trusted, and responsive to consumers.

Master data management and authoritative data sources are the Army's initial focus areas in providing authoritative data.

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Phase Three - Transform

Improving the quality of data in the authoritative sources and transforming data to standardized structures will increase quality, interoperability and understandability while reducing further transformations and loss of meaning to the consumer. This involves performing data quality assessments, data improvements and developing data dictionaries.

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Phase Four - Expose

Implementing data services as web-based ones to automatically respond to requests will make the data accessible and responsive to the consumer. Data services are developed in accordance with the Army Data Framework and Army Data Service Layer (ADSL) specifications. Data warehouses can ingest the data for analysis, and security ensures the data is trusted and not compromised.

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Phase Five - Register

Validating the developed schemas and data services to conform to the standards and then registering them to enable reuse and visibility by other Army programs. The CDO has the responsibility to establish Army data standards and monitor conformance to those standards, including establishing and maintaining a data standards certification process.

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Phase Six - Assess

The final phase of the Data Transformation involves monitoring and assessing progress or achievement along the way of the data maturity of the Army organizations and capturing metrics on the progress of achieving net-centric data.. The Army CIO/G-6 will perform Data Management Practice Assessment as well as identify and measure Metrics across the Army Enterprise.

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