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Workshop Overview
» Who Should Attend
» Workshop Agenda
Workshop
Overview
Baseline’s Data Management Best Practices Workshop
gets an organization off on the right foot in planning and
implementing a data management program that scales and responds
to changing business needs over time—regardless of
which tools and technologies are implemented, or when.
Data integration and data management tend to be viewed
as IT problems in most companies. The perspective is partly
due to misunderstanding about data management and data integration
workarounds, such as creating a new table for every new
report requested. It is partly due to lack of skill and
confidence within the business side of the house. As a result,
data management functions are added to developer responsibilities
and limited to data structure and definitions. Data management
is typically addressed from a systems rather than business
perspective.
The workshop is designed to give the organization a practical
roadmap for implementing comprehensive and effective data
management policies, roles, and metrics incrementally as
the data asset grows and skill is acquired or developed.
It also puts data management in context with other emerging
data-oriented topics like data governance, Enterprise Information
Management (EIM), data stewardship, and master data management
(MDM).
The service includes pre-session consulting to identify
the optimal mix of participants. The workshop includes both
lecture and discussion modules for establishing data management
scope, concepts, and approaches. Participants craft a data
management strategy and implementation plan tailored specifically
to their company’s culture, resources, barriers and
needs.
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Who Should
Attend
Baseline’s Data Management Best Practices Workshop
is designed for a cross-functional team responsible for
initiating and running a corporate data management program.
This workshop is for:
- Line of business managers sponsoring
key business intelligence (BI) initiatives.
- Senior business sponsors of shared
data and its applications.
- IT managers responsible for shared
data source systems and shared data development and operations.
- Metadata managers.
- Data stewards, or others who help business
users find and access information, troubleshoot data problems,
and correct erroneous information.
- Data architects, data stewards, and
modelers who develop and maintain a shared data asset.
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Workshop Agenda
- Pre-session Activities
• Baseline consultation to identify the optimal
mix of participants
• Participants complete pre-work packet
- Module 1: Data Management Foundation
• Introductions, module objectives and expectations
• Lecture: Data integration problems, issues, and
vocabulary
• Activity: Identify, rate and discuss current data
sharing issues
• Lecture: Data management program concepts, components
and objectives
• Activity: Match current data issues to data management
categories.
• Discuss available
resources and gaps
• Lecture: Data management best practices –
characteristics, categories,
• advantages, disadvantages,
trade-offs, industry considerations, optimal
• application
• Lecture: Approaches to developing a data management
program
• Discussion: Practical issues around implementation
and temporary
• work-arounds
• Discussion: Review and evaluate
- Module 2: Data Management Program
Roadmap
• Module objectives and expectations
• Lecture: Data management policies, process and
performance measurement
• Discussion: Module 1 findings and current application
portfolio
• Activity: Plot roadmap components (small groups)
• Activity: Assemble roadmap
• Discussion: Staffing, training and continuous
improvement
• Discussion: Review and evaluate
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