Data resource quality
Turning Bad Habits into Good Practices
Résumé
Michael Brackett provides a wake-up call for information
technology managers around the world. We can continue with
our current
practices, slowing down our ability to compete, or we can
buckle down and focus on the basics of improving data
quality. This book
provides a look at the fundamentals of good data
management practice. Use it well." —From the Foreword
by Ron Shelby, Chief
Information Officer, e-GM
Poor data quality impacts every facet of today's private
enterprises and public organizations. The deplorable
condition of this critical
resource in organizations around the world lowers
productivity, impedes the creation of decision support
systems (such as data
warehousing), and hinders the development of e-commerce
and other strategic initiatives. The future success of
organizations will greatly
depend on how well they design and maintain their data
resources. Written by a world expert in data resources,
Data Resource Quality
features the ten most fundamental and frequently exhibited
bad habits that contribute to poor data quality, and
presents the strategies and
best practices for effective solutions. With this
information, IT managers will be better equipped to
implement an organization-wide,
integrated, subject-oriented data architecture and within
that architecture build a high-quality data resource. The
result: reduced data
disparity and duplication, increased productivity, and
improved data understanding and utilization. Covering both
data architecture and
data management issues, the book describes the impact of
poor data practices, demonstrates more effective
approaches, and reveals
implementation pointers for quick results. Readers will
find coverage of such vital data quality issues as:
The need for formal data names and comprehensive data
definitions Proper data structures, covering the
entity-relation diagram and the
combined three-tier and five-schema structure Precise data
integrity rules Robust data documentation Reasonable data
orientation,
including business subject, business client, and
single-architecture orientation Acceptable data
availability issues, covering backup,
recovery, and privacy Adequate data responsibility,
discussing authorized stewardship, centralized control, and
procedures Expanded
data vision for improved business support More appropriate
data recognition leading to better data targeting within
the organization With
these strategies for successful data resource development,
IT managers will be able to set a proper course for an
efficient and profitable
long-term data resource solution.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Addison Wesley |
Auteur(s) | Michael Brackett |
Parution | 15/09/2000 |
Nb. de pages | 384 |
Format | 18,5 x 23,5 |
Couverture | Broché |
Poids | 578g |
Intérieur | 2 couleurs |
EAN13 | 9780201713060 |
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