I. Charter Purpose
This document is intended to describe the
work and charter for the data and information team. Below is a
description of the various artifacts to be produced in order to provide
a comprehensive detailed view of the data and information architecture
for Danforth Manufacturing Company (DMC).
II. EA3 Data and
Information Artifacts
The artifacts described in this section are
based Enterprise Architecture “Cube”, or EA3, framework developed by Dr.
Scott A. Bernard. More in-depth definition and detail are published in
Dr. Bernard’s textbook An Introduction to Enterprise Architecture – 2nd
Edition, published in 2005. The readers and stakeholders are encouraged
to use the book as a resource to improve their understanding of these
artifacts.
D-1:
Knowledge Management Plan
This artifact will be a diagram showing how
data and information sharing support and provide value to the business.
The value of this artifact is to provide a detailed view of how the
organization shares knowledge, information, and data across the
enterprise.
D-2:
Information Exchange Matrix
The Information Exchange Matrix describes
the attributes of data exchanged between systems, including size,
physical specifications for the storage media, timeliness of the data
and data retention policy, as well as security classifications and other
attributes. As an alternative, these attributes may be included in
artifact D-1 and eliminate the need for a separate Information Exchange
Matrix.
D-3: Object State Transition Diagram
The Object State Transition Diagram will
use UML methodologies to show the lifecycle of various data objects.
Further, this diagram will show entry points, as well as changes and
transitions of data elements and attributes resulting from system events
or triggers.
D-4: Object Event Trace Diagram
The Object Event Trace Diagram traces
actions and sequencing of events thru a set of operational scenarios.
This artifact will only be produced if business rules define the
scenarios and requirements for this diagram.
D-5:
Logical Data Model
The Logical Data Model will use UML
methodology to produce a class diagram showing the static relationships
of the data objects and the logical flow of the data. UML is chosen for
consistency in modeling the data and information artifacts.
D-6: Physical Data Model
The Physical Data Model will show the
database repository standards (DB2, ORACLE, SQLServer), file structures,
interface standards and messaging format, and physical schema mapping
the logical data model to the physical data model.
D-7: Activity / Entity Matrix
The Activity / Entity Matrix identifies
the types of data transformations (Create, Read, Update, Delete) that
can be performed based on business activities and rules. This artifact
is produced to map business function to access rules.
D-8:
Data Dictionary
The Data Dictionary defines all of the data
entities produced and maintained by the organization, including data
descriptions and relationships, attributes, standards, and keys. One
of the primary purposes of the data dictionary is to document what types
are data are available for use or sharing by other systems and
applications.
III. 2008 Next Steps
The team will work to
existing architecture artifacts for the current state and build on those
to produce the future state for Danforth Manufacturing Company.
The Data and Information team
will be scheduling meetings with the Products and Services team to
understand the business requirements and Systems and Applications team
to ensure integration with new applications. Further, there will be
meetings with the Security team to ensure compliance with security
policy and standards. Meetings may be required with the Network and
Infrastructure team to work availability requirements and latency
issues. |