Data Steward Program

How to Build and Implement a Data Stewardship Program

Data Stewardship programs are implemented to reduce information technology costs and improve the value companies gain from their data assets. Stewardship programs focus on improving data quality, reducing data duplication, formalizing accountability for data, and improving business and IT productivity. An effective Data Stewardship program will rapidly improve the ROI from data warehousing and business intelligence efforts, application integration efforts, ERP, CRM, content and knowledge management, and EAI efforts. Students of this class will learn about the components of an effective Data Stewardship program and how to immediately formulate a strategy that can deliver results with minimal investment.

Objectives

Topics covered include;

Framing and selling a Data Stewardship program in a corporate context
Stewardship program business and technical goals and objectives
ROI, Measurements and Metrics of Stewardship SuccessHow to leverage and enforce existing information policy
Stewardship program critical success factors
Managing organizational tolerance for change
Defining Steward roles, responsibilities, and accountabilities
Developing Steward Work Flow and Tasks
Developing conflict resolution paths
Understanding the relationship between stewardship and business rule management
Recording and managing stewardship Meta-data
Developing steward change management procedures and notification
Understanding Data Stewardship Beyond Structured Data
Identifying the “Best” place to start a stewardship program

Duration
2 days

Who Should Attend
Students should be in a position to define a data stewardship program and policy for their company. Students may include CIOs, IT Directors, Business and Data Managers, Solution Architects, Data Architects, and Consultants that are charged with reduction of Information Technology costs and IT / Data Quality Improvement.

Prerequisites
Students should have a background, knowledge and understanding of data and information management terminology, principles and best practices.

Course Format
Lecture and workshop exercises

Instructor
Bob Seiner