| Wednesday
4 February
10:30–11:30
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to top
|
| CASE
STUDY |
 |
 |
Practical
Data Stewardship
David
Plotkin, Manager of Data Quality, American Automobile Association
More
and more companies are coming to terms with the fact that they need to
have a data stewardship function in order to be effective in collecting
metadata (including definitions, derivations, and data quality rules),
MDM, and data quality. A lot has been said and spoken about why stewardship
is important, but HOW do you do it and be effective with limited resources
(in the “real world”)? This presentation details how to set
up a data stewardship function, how to run it, what the duties of the
data stewards are, and what decisions they have to make. You will learn:
- How to recruit
stewards
- What the steward’s
responsibilities are
- How to break up
responsibilities by functional area
- Resources you
can use to minimize endless meetings
- What the decision
process is
|
| Wednesday
4 February
10:30–11:30
Back
to top |
| CASE
STUDY |
|
|
Using
Collaborative Technology to Transform a Large Enterprise into a Data Governance
Culture
Julian
P. Shelbourne, Metadata Architect, Kaiser Permanente
A
shortage of reliable metadata, and the lack of standard business rules and
terms, was hindering our strategic goals for enterprise integration, national
reporting, SOA, and seamless B2B data-exchange. We lacked alignment between
our data assets and our business, but both are so complex that it was a
daunting challenge. The
only way to break the log-jam was to free our Subject Matter Experts from
siloed work-practices and red-tape, to contribute their knowledge directly
into a centralized repository, in an iterative, non-invasive, yet structured
way. We designed a solution that combines close-to-real-time business-intelligence
system metadata with Wiki-like contribution, governance, approval-workflow,
auditability, and version-history to enable our SMEs to collaboratively
define our business terms and catalog our data-assets.
Learn how we overcame
the constraints of our existing metadata-management infrastructure, and
overcame skepticism amongst the business community, to manage our business
intelligence data assets and business-rules in a whole new way. |
| Wednesday
4 February
10:30–11:30
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to top |
Bringing
Data to Life
Steve Tuck, Datanomic
Many data centric projects
fail to deliver their full potential because their view of the data is restricted
to their immediate use of it. Successful Data Governance initiatives recognise
the importance of understanding and managing the entire data lifecycle to
ensure that knowledge workers are equipped with the right information at
the right time. This presentation draws on practical experiences from the
NHS, local government and financial services for examples of how complex
organisations are implementing data governance in the real world. |
