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Data Governance Conference
Tutorial
Sessions
The
Stewardship Approach to Data Governance: Let's Be Practical
Robert
S. Seiner
President, KIK Consulting & Educational Services and Publisher
TDAN.com
Robert
S. Seiner has developed a practical and "non-invasive"
approach to implementing Data Governance Programs. We have all heard
the expression "Government by the People, For the People".
This approach applies that statement for Data Governance by leveraging
existing strengths of people in-the-know and focusing on applying
data discipline to the existing culture and processes of the organization.
This approach helps the "de-facto" data stewards of the
organization to become more effective and efficient in their role.
The
workshop will focus on:
·
A Practical and "Non-Invasive" Approach to Delivering
Successful Data Governance
· Designing a Program that Can Be Molded to Fit the Culture
of Your Organization
· Data Governance & Stewardship Organizational Design,
Placement and Support
· Effective Use of the Tools of Data Governance & Data
Stewardship
Many
companies insert the data governance discipline into their organizations
rather than apply data governance to the existing culture. Trying
to change how your organization "does what it does" is
a difficult and very involved task. Since the discipline of data
governance is new (in name and in practice) at most organizations,
the "non-invasive" approach discussed is this workshop
will help you to gain the support and involvement of the true data
stewards.
Throughout
this session, Bob Seiner shares his valuable "lessons learned"
from many large corporations and government entities through interactive
and lively discussion.
Managing
Governance, Risk, Privacy and Compliance Information
Gwen
Thomas
President, The Data Governance Institute
Whether
data is held in a repository, in transit between systems, undergoing
an ETL process, or being displayed, it is always at risk. It can
be lost, stolen, hacked, given away to criminals, or accidentally
displayed to the public. It can fail to meet compliance requirements
set by law, contractual agreements, or industry standard-setters.
Inadequate data-related controls can put the company at risk of
legal or market ramifications.
In this tutorial, you will:
Learn to speak the language of risk, as we describe typical data
issues using Risk Management terms that resonate with the business.
Learn to build a "Risk Management Chain of Accountability,"
as we map sample data-related risks to their management strategies,
then translate them to controls, to be designed/implemented/monitored
by organizational roles for which individual people are held accountable
by a governance function.
Learn how to use your Data Governance program and Metadata Repository
to manage data-related risk, as we extend a traditional metadata
metamodel to hold GRC-S (governance, risk, compliance, security)
information.
Business
Intelligence and Governance
Jonathan
Geiger
Vice President, Intelligent Solutions
Business
intelligence (BI) requires an enterprise-wide perspective and collaboration
by business and IT groups throughout the organization. BI governance
addresses these needs. Business Intelligence Governance includes
the business sponsorship and steering committee for establishing
direction and monitoring progress, establishment and monitoring
service level expectations, creation and enforcement of guiding
principles, and management of the total value of ownership associated
with providing and leveraging actionable information to ensure that
the company continuously receives business value.
Topics
covered include:
BI
and governance basics
Working with the business
Obtaining sponsorship
How to establish service level agreements
How to start an effective business intelligence governance program
Implementing Best Practices in Data Governance
Anne
Marie Smith
Principal Consultant, EWSolutions
Data
and information are critical assets of any organization, and should
be considered as valuable a resource as buildings, employees and
products. For a company to gain a significant competitive advantage,
it must focus on managing and using its data effectively. Data stewardship
and the governance of information assets are essential parts of
any relevant information systems strategy for the 21st century.
Moreover, without a successful data stewardship and governance program
it is impossible to properly implement an enterprise master data
management effort or any enterprise spanning activity.
To
implement governance and stewardship properly, it is beneficial
to know and understand the best practices that have arisen from
such programs and to be able to incorporate those practices into
your organization's approach to governance and stewardship.
This
presentation will offer a view of the accumulated best practices
within data governance and show how they can become the foundation
for a successful governance and stewardship program. The presentation
will also identify some problems with governance and stewardship
programs and how to avoid them.
Learning
Objectives:
·
The importance of methodology in a successful data governance program
· Governance basics: what it is, what it isn't, why it is essential
· Role of governance in successful information management and successful
21st century enterprises
· Major cultural problems encountered by organizations in instituting
governance: the problem, the solution, the result
· How to select the right software and vendors for implementing
governance
· Selling data governance to senior management
· Representative data governance organizational models
· Data governance roles and responsibilities
· Governance processes and metrics
· Problems to avoid in data governance projects
· Case studies of successful and unsuccessful companies in
governance efforts
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