09:30-17:00
Information Governance and Stewardship: Implementing Accountability for Information Quality

Larry P. English President INFORMATION IMPACT International, Inc.

Information management is a responsibility of anyone and everyone in the enterprise who creates, updates, deletes, or uses information in some way.

Managing information in the Information Age requires the same kinds of principles as are applied to capital (financial) and human resources. Among those principles is accountability for the use of the business resources. In order to optimize the effectiveness of information management, accountability must be applied to the definition of data and to the quality of data created, both in source databases and in migration to strategic databases (data warehouses).

This tutorial addresses the several roles of information stewardship in the effective Information-Age enterprise. You learn how leading edge organizations have organized and implemented information accountability for information as a business—not just a technical—resource.

Upon completion of this tutorial, you will be able to:

• Define information stewardship
• Describe specific business and systems stewardship roles and responsibilities
• Describe the organization “structure” and accountabilities for information governance
• Describe how to “assign” the correct information accountabilities correctly
• Describe how to implement effective information governance and stewardship
• Describe barriers to information stewardship implementation and strategies for neutralizing the barriers
• Describe critical success factors for implementing information stewardship

09:30-17:00
The Stewardship Approach to Data Governance: Let's Be Practical

Robert S. Seiner President KIK Consulting & Educational Services and Publisher TDAN.com

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.

What is the “non-invasive” approach to Data Governance? This approach involves identifying and recognizing data stewards rather than assigning data stewards to have more responsibility. This approach involves applying governance and stewardship activities to existing practices and standard operating procedures rather than creating all new procedures. This approach involves leveraging what is already working in your organization and focusing on opportunities to improve.

The tutorial will focus on:

• Designing a Programme that Can Be Molded to Fit the Culture of Your Organization
• Identifying Data Stewards & Applying Governance to Existing Procedures and Processes
• Data Governance & Stewardship Organizational Design, Placement and Support
• Effective Use of the Tools of Data Governance & Data Stewardship
• A Practical and "Non-Invasive" Approach to Delivering Successful Data Governance

Throughout this full day session, Bob Seiner shares his valuable "lessons learned" from many large corporations and government entities through interactive and lively discussion.

9:30-12:45
Using BI to Drive Corporate Data Governance

Seán Kelly Managing Partner Seán Kelly & Associates

Data warehouse projects bring to light many of the deficiencies in corporate data governance while also presenting an opportunity to solve them. For many BI project managers the task of created a data warehouse is sufficiently daunting in itself to deter him or her from expanding the scope of their endeavours to include data governance. Yet, it is primarily due to the failure of business and IT functions to effectively collaborate in these areas that many data warehouse projects fail.

In this workshop delegates will have an opportunity to understand how a formal methodological process can be applied to tackling data governance.

The AIE (Acquire, Integrate & Exploit) data warehouse framework will be used as the means of constructing a complementary data governance project.

Topics covered include:

• Understanding the business value of effective data governance
• Understanding data governance critical success factors
• Creating data governance roles, structures, policies and procedures
• Identifying data sources and owners
• Identifying data semantics and data quality
• Implementing data security and compliance measures
• Implementing data standards and policies

13:45-17:00
Data Governance and Master Data Management

Malcolm Chisholm President AskGet.com

With the sudden explosion of interest in Master Data Management (MDM), there is now a real danger of enterprises thinking they can simply buy a product that will perform MDM - an expectation that is likely to lead to future disappointment.

MDM is heavily dependent on a successful data governance approach at the enterprise level. It is vital to fully understand the linkages and dependencies between MDM and data governance before embarking on an MDM programme.

This tutorial examines the special nature of master data and the specific governance tasks that are required for it. The approach taken is that there must be an overall governance programme at the enterprise level that accommodates the distinct nature of MDM, rather than MDM dictating a set of isolated MDM-specific governance processes that stand-alone.

This tutorial will focus on:

• Providing an understanding of master data, and its specific governance requirements.
• The common components of MDM governance and how to justify them.
• How to link governance requirements for MDM to enterprise-wide governance. This will include tactical approaches for practical situations where MDM is more advanced than enterprise-wide governance.
• The role of data administration in providing services and infrastructure to support MDM

17:00 – 18:00 Drinks Reception