April Webinar: Data Operations Management: Turning your Challenges into Success
Original air time: Tuesday, April 10, 2012; 2:00 PM - 3:30 PM ET (11:00 AM- 12:30 PM PT)
While database operations comprise the majority of the organizational data operations management focus, other data delivery options, e.g. portals and virtualization, are interacting with increasingly complex regulatory environments. This presents organizations with dense analysis challenges in order to understand reporting obligations. Using the Zachman Framework as a guide, you will learn how to understand and approach data operations challenges from tuning to real-time reconfiguration. This presentation provides you with an understanding of data operations management, including the initiation, operation, tuning, maintenance, backup/recovery, archiving and disposal of data assets in support of organizational strategies and other activities.
Learning Objectives:
What is data operations management?
Why is data operations management important?
Considerations for improving data operations management within your organization
Guiding principles & best practices
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
Practical Data Modeling
Original air time: Tuesday, March 13, 2012; 2:00 PM - 3:30 PM ET (11:00 AM- 12:30 PM PT)
This presentation provides you with an understanding of the data modeling and data development components of data management. Participants will understand how the analysis, design, implementation, deployment, and maintenance of data solutions should be approached in order to maximize the full value of the enterprise data resources and activities. Architecting in quality is imperative at this level and complements a subset of project activities within the system development lifecycle (SDLC) focused on defining data requirements, designing data solution components, and implementing these components. Participants will understand the difficulties organizations experience when interacting with data development efforts and how to best incorporate these efforts into specific data projects.
Learning Objectives:
What is data modeling? What is data development?
Why are they important and how do they compare?
Where do they fit in as data management components?
Data modeling/development frameworks
Considerations for improving data modeling and data development within your organization
Guiding principles & best practices
Building A Solid Foundation: Data/Information Architecture
Original air time: Tuesday, February 14, 2012; 2:00 PM - 3:30 PM ET (11:00 AM- 12:30 PM PT)
All organizations have data architectures. The question is: How effectively do they use them? This presentation provides a clear and concise understanding of what is meant by the term data architecture and the requirement that data and information architectures must be simultaneously managed. More importantly, organizations must understand what it means to use data architecture to support the implementation of organizational strategy. Participants will understand the requirements for an iterative, incremental approach to data architecture reengineering, the complimentary role of the Zachman Framework, and the ability to articulate the business value of data architecture projects and components.Learning Objectives:
What is data/information architecture?Why is data/information architecture important?
Data/information architecture frameworks
Considerations for improving data architecture utility within your organization
Guiding principles & best practices
Data-Ed Online: Building a Solid Foundation-Data/Information Architecture
Making the Case for Data Governance
Original air time: Tuesday, January 24, 2012; 2:00 PM - 3:30 PM ET (11:00 AM- 12:30 PM PT)
When thinking about data management, data governance is not one of those topics that immediately come to mind. Although neglected and often poorly performed, it is a vital function of data management and it is absurd to even consider managing data without some form of formal guidance. Data governance is central to “defining, coordinating, resourcing, implementing, and monitoring organizational data program strategies, policies, and plans as a coherent set of activities.” This presentation provides you with a clear and concise understanding of what data governance functions are required and how they fit with other data management disciplines. Understanding these aspects is a necessary pre-requisite to eliminate the ambiguity and confusion that often surround initial discussions and implement effective data governance and stewardship programs that manage data in support of organizational strategy.
Learning Objectives:
- What is data governance?
- Why is it important?
- Data governance checklists and frameworks
- Data governance worst practices
- Steps for improving data governance within your organization
- Guiding Principles & Lessons Learned
