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Presented by Michael Brackett
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Presentation...
Time: Registration/Refreshments - 8:30-9:00 a.m.
Presentation - 9:00-11:00 a.m.
Announcements - 11:00-11:30 a.m.
Abstract
Most public and private sector organizations have
burgeoning quantities of disparate data that have no end in
sight. These data are
not well understood, have high redundancy that is not consistent,
and fails to adequately support the business information
demand. The only way to
resolve this situation is to thoroughly understand all the existing
disparate data within a common data architecture, develop a
high-quality comparate data resource, and use that data resource to
support the business information demand. This can only be done if the
data resource is managed equivalent to the other three critical
resources in an organization.
The common data architecture is a business-driven
approach to thoroughly understanding all the data at an
organization’s disposal.
It contains concepts, principles, and techniques that
transcend the current hype.
It uses basic principles that have been known and proven
since the 1940’sm 50’s, and 70’s. These principles are as
solid today as they were when first developed. Organizations just need to
apply them to the current disparate data problem. The common data architecture
provides a heads-down, hard-thinking approach that is difficult, but
far from impossible.
The presentation provides the basic concepts and
principles for stopping the creation of disparate data, resolving
the existing disparate data, and creating a high-quality
enterprise-wide data resource that is readily shared. It covers the concepts of a
common data architecture, overall data resource quality, a formal
data resource guide, meaningful data resource data, formal data
integrity rules, a five-tier five-schema approach to data models,
architecture driven data models, the difference between a data
architecture and a data model, and coordinated management of the
data resource.
The attendee will find the presentation useful for
understanding the problems with disparate data and for developing a
high-quality data resource.
The key is to thoroughly understand all the data in business
terms, develop a comparate data architecture, and implement that
data architecture in newly developed or purchased applications that
will support constantly changing business information
needs.
Speaker Information -
Mr.
Brackett retired from the
State of
Washington
in June, 1996, where he
was the State's Data Resource Coordinator. He was responsible for
developing a common data architecture for the State that spans
multiple jurisdictions, such as state agencies, local jurisdictions,
Indian tribes, public utilities, and Federal agencies, and includes
multiple disciplines, such as water resource, growth management, and
criminal justice. He is the founder of Data Resource Design and
Remodeling and is a Consulting Data Architect specializing in
developing integrated data resources.
Mr. Brackett has been in the data management field for over
40 years, during which time he developed many innovative concepts
and techniques for designing applications and managing data
resources. He is the originator of the common data architecture
concept, the data resource framework, the data naming taxonomy and
data naming vocabulary, the five-tier five-schema concept, the data
rule concept, the business intelligence value chain, the data
resource data concept, and the architecture-driven data model
concept, and new techniques for understanding and integrating
disparate data.
Mr. Brackett has written six books on the topic of
application design, data design, and common data architectures. His
books on Data Sharing Using a
Common Data Architecture and The Data Warehouse Challenge:
Taming Data Chaos explain the concept and uses of a common data
architecture for developing an integrated data resource. His latest
book on Data Resource
Quality: Turning Bad Habits into Good Practices explains how to
stop the creation of disparate data. He is currently writing a
book data resource integration to resolve data disparity. He has written many articles
and is a well-known author, speaker, and trainer on data resource
management topics.
Mr. Brackett has a BS in Forestry (Forest Management) and a
MS in Forestry (Botany) from the University of Washington, and a MS in Soils (Geology)
from Washington State University. He is a charter
member and an active member of the Seattle chapter of DRMA; served as
Vice President of Conferences for DAMA International; served as the
President of DAMA International for 2000 through 2003; and served as
Past President of DAMA International for 2004 and 2005. He is the founder and first
President of the DAMA International Foundation, an organization
dedicated to developing a formal data management profession, and is
currently Past President of the DAMA International
Foundation.
Mr. Brackett received DAMA International’s Lifetime
Achievement Award in 2006 for his work in data resource management,
the second person in the history of DAMA International to receive
that award. He taught
Data Design and Modeling in the Data Resource Management Certificate
Program at the University
of Washington, and has been
a member of the adjunct faculty at Washington
State University and The Evergreen
State College. He is
listed in Who's Who in the West, Who's Who in Education, and
International Who's Who.
Additional information can be found on Mr. Brackett’s web
page at
members.aol.com/mhbrackett. |
