Almost every large government agency or Global 2000 company is struggling to properly manage their enterprise's data and its architecture. This difficulty is the direct result of the highly distributed, disjoined and overly expensive IT environments which currently exist throughout our industry. This situation has triggered the reemergence of corporations looking to establish truly proactive Enterprise Data Architecture organizations.
This course will look to move enterprise data architecture theory into a practical set of steps (roadmap) to achieving true value from your enterprise data architecture initiative. Moreover, it will present the specific meta data inputs and outputs that are required for each of the most common enterprise data architecture focus areas. In addition, data governance and stewardship approaches and structures will be presented for each of these areas.
- Enterprise Data Architecture Defined
- Enterprise Data Architecture ROI
- Foundational Components of Enterprise Data Architecture
- Meta Data Management
- Data Governance and Stewardship
- Focus Areas of Enterprise Data Architecture
- Enterprise Data Model
- Common Objectives
- Value to the Organization
- Roadmap for Implementation
- Meta Data Management Inputs/Outputs
- Data Governance & Stewardship Structure
- Master Data Management
- Common Objectives
- Value to the Organization
- Roadmap for Implementation
- Meta Data Management Inputs/Outputs
- Data Governance & Stewardship Structure
- Data Quality
- Common Objectives
- Value to the Organization
- Roadmap for Implementation
- Meta Data Management Inputs/Outputs
- Data Governance & Stewardship Structure
- IT Portfolio Management
- Common Objectives
- Value to the Organization
- Roadmap for Implementation
- Meta Data Management Inputs/Outputs
- Data Governance & Stewardship Structure
- Enterprise Data Warehousing
- Common Objectives
- Value to the Organization
- Roadmap for Implementation
- Meta Data Management Inputs/Outputs
- Data Governance & Stewardship Structure
- Enterprise Data Architecture Best Practices
- Enterprise Data Architecture Real-World Case Studies
David Marco is an internationally recognized expert in the fields of data warehousing, enterprise architecture and business intelligence, and is the world’s foremost authority on meta data management. He is the author of several widely acclaimed books including “Universal Meta Data Models” and “Building and Managing the Meta Data Repository”. These groundbreaking books have been broadly endorsed by many of the largest software companies in the industry and by several major magazines. Mr. Marco has published hundreds of articles and is a regular columnist for several technology magazines. In addition, in 2004 Mr. Marco was selected to the very prestigious Crain’s Chicago Business “Top 40 Under 40”.
Mr. Marco is a highly sought after speaker and has presented hundreds
of keynote addresses and courses at the major business, data warehousing,
and meta data conferences throughout the world. Mr. Marco has taught
at the University of Chicago and DePaul University,
and is the founder and President of EWSolutions, a GSA schedule and
Chicago-headquartered strategic partner and systems integrator dedicated
to providing companies and large government agencies with best-in-class
knowledge-based solutions using enterprise architecture, data warehousing,
and managed meta data environment technologies or visit http://www.EWSolutions.com.