For Effective Management of Information When Collaboration of E-Business, Legacy Systems and Data Warehouses is Required

Overview

Success of E-Business, CRM, supply chain management and data mining depend on the availability of high quality enterprise data. Information Resource Management can add value to all these initiatives by enabling enterprise-wide data sharing and providing quality information to customers both internal and external. Unfortunately, IRM still lacks credibility in many organizations. Even more discouraging is the fact that many IRM professionals are unclear about what role IRM has to play in the emerging environment. As a result, the development of data warehouses as well as web-based and XML-based systems, compound the data quality and integrity problems that existed in the Client/Server and Legacy systems.

This seminar will provide expert guidance in the areas such as developing an enterprise architecture and bringing about a data management discipline that supports all corporate business as well as IT initiatives. The IRM function must improve productivity of IT customers – both internal as well as external. Data modeling support must be managed in a way that results in a partnership with system development groups. Business intelligence and data warehouse support calls for effective data stewardship programs. Meta data repository is absolutely essential for both building and navigating the enterprise information resource.

The thrust of XML and web based E-Business systems calls for data standardization not only within an enterprise but also within an industry. Since data standardization is not easily attainable in most organizations, the IRM has to develop diplomatic initiatives that move the enterprise toward an integrated database in the long term while providing in the short compatibility and connectivity between disparate systems.

You will learn how to deploy modern information technology without losing data integrity, how to define policies and procedures to facilitate the development and sharing of a common information resource, and how to structure and manage a successful IRM organization. The seminar will discuss the business significance of the IRM role in supporting business strategies. Equally important is educating management and obtaining their commitment for the IRM.

Real life experiences, drawn from several successful implementations, are reviewed to demonstrate the balance between IRM theory and practice. The seminar also reviews the latest data management tools and methodology, and provides guidance on how to incorporate them into the IRM, Data Management and Data Administration functions.

Questions Answered

• Why is data sharing critical for the success of the new environment?
  
• How do I develop an enterprise architecture and manage it?
  
• What is the relationship between Information Resource Management and E-Business systems?
  
• What role IRM has to play to support the XML environment?
  
• How does IRM support CRM and Supply Chain type ERP initiatives?
  
• How do I support process integration using?
  
• How can I improve the enterprise information quality?
  
• How do I get management and end-users involved in the management of information resource?
  
• What is IRM’s role in supporting data warehouses and data marts?
  
• What is Data Administration’s role in the Systems Development Life Cycle?
  
• What should my IRM organization look like?
  
• How do I manage Case and modeling tools?
  
• How do I implement and deliver value from a meta data repository?
  
• How do I implement and manage data stewardship programs?
• How do I sell the IRM concept to management?

Who Should Attend

• CIO’s
  
• IRM Managers
  
• Data Administrators
  
• Data Base Administrators
  
• Business and Systems Analysts
  
• Data Warehouse Managers
  
• Web Masters
  
• Enterprise Architects
  
• Corporate Planners
  
• Data Analysts
  
• E-Business Managers

Agenda

• Information as a corporate resource
  
• Evolution of Data to Information to Knowledge
  
• Goals and objectives
  
• IRM’s role in supporting the business- both traditional and E-Business
• The IRM functions

• Enterprise architecture model
  
  • Information architecture
    
  • Application architecture
    
  • Technology architecture
• Role of IRM in Architecture Management

• Evaluating projects for information resource potential
  
• Project planning - developing a unified plan for:
  -E-Business projects
  -Process reengineering projects
  -Systems projects
  -Process improvement projects
  
• Role of IRM in Planning

• B2C systems
  
• B2B systems
  
• Enterprise portal support
  
• Web to legacy data connectivity
  
• Content management
  
• Security management
  
• Information integrity management
  
• Developing enterprise data standards
  
• Incorporating industry data standards

Business Requirement Analysis

• Common path method to Business Systems Design
• Development coordination of multiple projects through a common data architecture
  
• Data sharing across processes and systems
  
• Balancing between process and data
• Role of IRM in Requirement Definition

• Data Warehouse vs. Data Mart
  
• Planning a data warehouse project
  
• Defining the business intelligence requirements
  
• Developing a business data warehouse architecture
  
• Designing the business data warehouse
  
• Data warehouse integrity and quality
  
• Data warehouse navigation
  
• The role of IRM in supporting the data warehouse
  
• Data mining tools and techniques
  
• Performance considerations

• Why data modeling and who should be responsible for it?
  
• Modeling methods (ER, OO, UML etc.).
  
• XML – what it is and what are its implications
  
• Getting ready for XML
  
• Data integrity issues
  
• Data naming standards
  
• Managing Case and modeling tools

• Defining Stakeholders
  
• Defining quality objectives
  
• Developing Service Level Agreements (SLAs)
  
• Monitoring quality
  
• Quality improvement initiatives

Data Stewardship Programs

• CRM and Supply Chain support
  
• Building relationships with information users/customers
  
• Defining data stewards’ responsibilities
  
• Training data stewards
  
• Managing data stewardship program

• What is meta data and why necessary
  
• Repository – why needed
  
• How to evaluate and select repository
  
• Naming standards
  
• Change management
  
• Making a meta data repository as a productivity tool

• Developing a charter; Mission, goals and objectives
  
• IRM responsibilities
  
• Redefining relationships with other organization units
  
• The IRM organization structure
  -Planning and Architecture Management
  -Data administration
  -Database administration
  -Repository administration
  
• Distributing IRM functions within and outside the IT/IS function

• Problems and pitfalls in current IRM thinking
  
• Customer focus requirements
  
• Establishing quality metrics for the IRM function
  
• Continuous improvement of the IRM process

• Attendee presentation of real life experiences
  
• Class discussions and analysis
  
• Instructor feedback