Data Analysis
Modeling Environment
(DAME)
Enabling Collaborative Practices

The DAME tool will model key business processes within the textile
industry, enabling the electronic sharing of vital business data and
information across supply chains
In 1995, the
DAMA participants envisioned a textile industry electronic marketplace
where (1) resources and services could be identified, understood, compared,
and bought and sold on demand; and (2) electronic communication tools
could be used to create a competitive advantage for the entire U.S.
Integrated Textile Complex (ITC,which consists of the American softgoods
industry fiber, textile, apparel, and retail.) all made
possible by an architecture designed to meet the specific needs of the
textile industry?
DAMA has developed tools to facilitate cooperative business practices
as one of several activities aimed at reaching this goal.
Cooperative Business Management (CBM) practices are key to the success
of this marketplace and are exemplified by decisions along the pipeline
that reinforce each other in pursuit of common goals, rather than decisions
that provide local optimization.
Tools for Collaboration
At the heart of the cooperative practices concept is the sharing and
analysis of business data. A new generation of analysis tools is needed
to take full advantage of data shared across the entire supply chain.
Such tools will support decisions that are collaborative in nature and
that benefit all parties involved by reducing time in the U.S. ITC manufacturing
pipeline.
DAMA developed next-generation computerized decision support tools that
will enable the U.S. ITC to work together to reduce time in the supply
chain pipeline. However, these tools are driven by business data, and
they must have the right data at the right time.
Modeling Business Practices
The Data Analysis Modeling Environment (DAME) models were developed
to help the U.S. ITC identify, define, and structure the data needed
to support cooperative business practices. DAME will accomplish this
by establishing commonly understood linkages between business practices
and data. DAME will result in a common architectural framework for data
needed to make collaboative decisions.
The DAME models consist of text and graphical descriptions of the data
elements of interest to U.S. ITCtrading partners. Important relationships
among the data elements are captured as well as relationships between
the data and key business functions.
DAME includes an extensive collection of cross references between the
model, an electronic data dictionary, and existing electronic data interchange
(EDI) information. With this feature, users can be assured that common
definitions for important business terms are being used across the entire
supply chain. Standard EDI conventions are used to describe the data
elements where appropriate and similar conventions are provided for
non-EDI elements.
To learn more about how the DAME models can enable cooperative business
management practices select a model (PDF format).
Quick Response
Apparel Business Model ( 1.03 mb)
Textile Industry
Supply Chain Business Model ( 2.31 mb)
Logistics Process
Map for Assembly in Mexico ( 1.19 mb)