PRIDE ®  
Supplemental Narratives
FUNCTIONAL DESCRIPTIONS
DATA ENGINEERING

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    SCOPE OF FUNCTION

    The purpose of this function is to design the enterprise logical data base so that it is easy to modify and maintain in the most cost effective means possible.

    This is an operational level function that has primary responsibility for performing the following phases in the Data Base Engineering Methodology (DBEM):

    • Phase 1 - "Data Base Study & Evaluation"
    • Phase 3 - "Enterprise Logical Data Base Design"

    Data Engineering also serves in an advisory capacity in the following DBEM phases:

    • Phase 2 - "Application Logical Data Base Design" (to assist Systems Engineering)
    • Phase 4 - "Enterprise Physical Data Base Design" (to assist Data Base/Data Communications Admin)
    • Phase 5 - "Application Physical Data Base Design" (to assist Data Base/Data Communications Admin)
    • Phase 6 - "DBEM Evaluation"

    Data Engineering provides assistance to Enterprise Engineering in the following EEM phases:

    • Phase 1 - "EEM Project Planning"
    • Phase 2 - "Logical Enterprise Analysis"

    SPECIFIC DUTIES AND RESPONSIBILITIES

    1. Implements all IRM related policies and procedures, including the use of "PRIDE" products.

    2. Reports administratively to Data Resource Management on all activities, and to Project Management on all project specific activities.

    3. Maintains a line of communication with Systems Engineering Enterprise Engineering, Data Base Administration, Data Communications Administration, User Management, and IRM support functions.

    4. Reviews pertinent deliverables resulting from "PRIDE" methodologies, particularly DBEM, with Project Management and the IRM support functions.

    5. Prepares project scopes subject to Project Management approval.

    6. Document existing data structures.

    7. Specify data requirements for an application.

    8. Prepare a Data Base approach and feasibility. This is performed in cooperation with Data Base Administration, and Data Communications Administration. This includes a complete rough design of a new or modified data base.

    9. Participates in project planning activities, including estimating and scheduling, and cost evaluation.

    10. Review and approve of application logical data base designs as prepared by Systems Engineering.

    11. Designs the logical data base model for the enterprise. This includes a definition of the "objects," "views," and data elements required by all information system. In this regard, Data Engineering merges comparable application "objects" and "views."

    12. Eliminates data definition redundancy and promotes data sharing.

    REQUIRED KNOWLEDGE/SKILLS/EXPERIENCE

    1. A thorough understanding of "PRIDE" products, particularly as they relate to the Data Engineering function.

    2. An in-depth understanding of in-house IRM standards, tools, and techniques and knows where they apply in the "PRIDE" methodologies.

    3. The ability to estimate Data Engineering activities within tolerances as established by the installation.

    4. Good interpersonal relations/communications skills.

    5. Effective writing skills.

    6. Possess good analytical and problem solving skills.

    7. Must be results oriented.

    8. The ability to prepare and conduct project review meetings and participate in those reviews in a professional manner.

    9. A thorough understanding of the functions of Information Resource Management related functions.

    10. The experience and ability to assume responsibility for performing assigned tasks and meeting objectives within time and cost constraints.

    11. Experience and in-depth knowledge in documenting existing Data Base structures.

    12. Experience and in-depth knowledge in defining logical "objects" pertaining to the enterprise.

    13. Experience and in-depth knowledge in performing logical data base designs, both at the enterprise and application levels.

    14. Experience and in-depth knowledge of evaluating alternative approaches, for physical Data Base implementation.

    EVALUATION OF PERFORMANCE

    The following list is intended as a guide to evaluate the performance of the Data Engineering function. Evaluation will be based upon observation by Data Resource Management, Project Management, Data Base Administration, Data Communications Administration, and IRM Quality Assurance.

    1. Data Engineering personnel adhere to all Information Resource Management related policies and procedures.

    2. "PRIDE" products, as they pertains to this function, is successfully implemented and used productively.

    3. Data Engineering personnel have a thorough understanding and knowledge of all Data Resource Management related functions and responsibilities.

    4. Data Resource Management, Project Management, Data Base Administration, Data Communications Administration, and IRM support functions are aware of all Data Engineering activities.

    5. Data Engineering personnel assume responsibility for performing assigned tasks and achieves them within time and cost constraints.

    6. Data Engineering activities are performed according to approved plans.

    7. The Data Engineering staff produces quality work (few mistakes).

    8. Works closely with the various IRM support functions to assure that all IRM installation standards are properly followed.

    9. Work is thorough and professionally prepared.

    10. Data resources are standardized and controlled; they are also easy to modify and maintain.

    11. Logical data base designs are prepared correctly, according to specifications, and are reliable.

    12. Data base designs serve the needs of information systems in the most cost effective means possible.

    13. Data base designs are creative and practical.

    14. Writes effectively and clearly.

    15. Data bases are well tested and free of known defects.

    FUNCTIONAL RELATIONSHIPS

    Function is administratively subordinate to Data Resource Management and operationally subordinate to Project Management for project activities. Maintains a lateral working relationship with Enterprise Engineering, Systems Engineering, Data Base Administration, Data Communications Administration, User Management, and IRM support functions.

    METHODOLOGY RELATIONSHIPS

    This function participates in the following phases and activities of the "PRIDE" methodologies:

   


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