MASTER DATA WORKSHOP
We can’t join in person! Go2Learn now offers remote live access. Join all the sessions, interact with other students and facilitators, participate in the exercises and ask questions to the instructor.
It’s All About Value
Gaining, Developing, Creating, Driving, and Harvesting value from your Enterprise Foundational Data is a strategic objective of seemingly every organization. Value though is an elusive objective when it comes to data and often requires a significant systemic strategy and approach. The strategy must include alignment of the people, processes, and technologies touching data over its lifecycle.
For many organizations, the data is spread across multiple disparate repositories, complete with inconsistent indexes, variable naming conventions, duplication, fragmentation, and unknown embedded tribal knowledge.
Without a clear understanding of the lifecycle of this data and defined minimum requirements and quality expectations (standards), even seasoned data administrators will struggle to achieve success in leveraging asset data to its full potential.
However, there are case studies demonstrating success. These success stories reveal the necessity of data management. Define, Measure, Enhance, Repeat is a simple way to demonstrate what the management of data means. Disciplined and focused organizations see results from the data they collect and analyze.
Hear what attendees have to say about the Master Data workshop
What is the Master Data Workshop?
Go2Learn’s Master Data workshop is positioned to address issues in a comprehensive, systematic, and interactive format. Our students become inspired to effect real change within their organizations and achieve measurable results.
The workshop is a real-world, hands-on, collaborative learning environment taught by Norm Poynter, a leading subject-matter expert in managing master data. The course is geared to the understanding, scoping, planning, implementation, and measurement of EAM Foundational Data.
From a business perspective the course will cover:
- Business cases for data
- Project handover of information (brownfield and greenfield)
- Integration of engineering information and how it can be used
- Identification of maintenance significance and criticality
- Data object definitions
- Line of sight from the work face back to policies, standards, and processes
- Field validation techniques
- Governance and technical authority structures.
From a technical perspective the course will cover:
- Basic relational database principles
- Data normalization concepts
- The SAP EAM data model
- MS Access as a simple tool for data collection and enhancement
- Data collection techniques and options
- Applying industry standards to data (e.g. ISO 14224, 15926, 55001)
- Basic ABAP programming concepts
- Data loading into SAP methods and tools
- Data extraction methods and tools
- Long text
Meet the Instructor
Norm Poynter has been in management consulting with a specialization in SAP plant maintenance and integration for the past fourteen years. He has been involved in a variety of projects including system and continuous improvement implementations, best practices, plant turnarounds, re-engineering, process improvements, and process safety development and implementation.
Norm has held management, technical, and functional roles with companies including Agrium, NOVA Chemicals, DuPont, Canexus, Nexen Inc., Marathon Oil, and Suncor. Today, Norm focuses on the integration of systems across landscapes to form knowledge execution management systems, asset information management systems, and sustainable groups of core corporate competencies and subject matter (communities of practice). This approach is used to enable standardization, consistency, and productivity through better use of grassroots technologies like SAP.
Workshop Pricing & Details:
Live Virtual Workshop
Call for Details: 917 554-3444
*Discount applies for students from the same company
Please call our office for information: (917) 554-3444 ext. 101
Interested in the SAP Master Data Workshop coming to a city near you? Let us know: (917) 554-3444 or email@example.com.