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Ten Steps to Quality Data and
Trusted Information
Abstract:
Do these situations sound familiar? Your
company is involved in a data integration project such as
building a data warehouse or migrating several source
systems into an ERP (Enterprise Resource Planning)
application. Data quality issues are impacting the project
timeline or users are distrustful of the information that is
provided. Whether you are just starting the project or are
already in production, it is not unusual to find that
information quality issues prevent the company from
realizing the full benefit of their investment in the new
systems. Join us to learn practical approaches to improving
the quality of information. Learn about:
•
The
Framework for Information Quality
•
Dimensions for Measuring and Managing Data Quality
•
Techniques for Assessing the Business Impact of Information
Quality
•
Ten
Steps to Quality Data and Trusted Information™
These techniques apply to all types of data (finance,
manufacturing, sales and marketing, human resources, order
management and so forth) and all types of organizations
(businesses and corporations, educational institutions,
government agencies, and nonprofits) – because all depend on
information to succeed.
Come with your particular needs in mind, discover how
these topics apply to your situation, and learn realistic
methods for improving information quality.
Special:
There will be a drawing for a free book
for attendees and Danette can sign books also. It's best if
people order from Amazon ahead of time since she will only
have a couple of books there to sell. Link to Amazon:
Executing Data Quality Projects: Ten Steps to Quality Data
and Trusted Information (TM) or you can click on the
link from her website at
www.gfalls.com.
About the Presenter:
Danette McGilvray is President of Granite Falls Consulting,
Inc., a firm specializing in information quality management
and data governance.
As principal consultant she uses her expertise to
help clients in many industries. Projects include enterprise
data integration and information quality and governance
programs, data warehousing strategies, and best practices
for large-scale ERP data migrations for Fortune 500
organizations. SF DAMA
is proud to have Danette as a long-time member of the
chapter.
An accomplished program and project
manager and facilitator, she has worked with people in all
levels of the organization and from all functional areas,
giving her a perspective of the challenges of information
management based on real-life experience.
This experience formed the basis of her book,
Executing Data Quality Projects: Ten Steps to Quality Data
and Trusted Information™, (Morgan Kaufmann Publishers,
2008) which is now available at major booksellers.
Danette is an invited speaker at
conferences throughout the US and Europe,
where she trains other industry experts in enterprise
information management and data stewardship. She is a
faculty member for The Data Warehousing Institute (TDWI) and
is a member of DMReview.com's Ask the Expert panel, which
allows business intelligence and data warehousing
professionals to ask questions of industry leaders. She has
been profiled in PC Week and HP Measure Magazine and was an
invited delegate to the People's Republic of China to discuss
roles and opportunities for women in the computer field.
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