Transcript Enterprise Data Management

Teaching Data Management An Overview
Anne Marie Smith
[email protected]
[email protected]
La Salle University
Data Management as Part of
MIS
Modeling and DBMS Design
Management
Information
Systems
Metadata Management
Analysis, Communication,
Documentation
Data Management Goals
• Identify enterprise’s core business information needs
and effectively use the resulting data
• Manage data as an asset, both within a business unit
and throughout the enterprise
• Provide a central focus for establishing and
documenting corporate data policy and for managing
data resources (human, system, data objects)
• Critically analyze the use and management of data and
its related processes
Purpose of Data Management
• Encourage the management of data from both business
unit and enterprise views
• Promote the importance of data as a valuable resource
– identify, analyze and control critical data objects
– flexible usage of data (planning and access)
• Manage creation, use, storage, documentation and
dissemination of data across the enterprise
– redundancy
– data sharing
– decision support
Rationale for Teaching Data
Management
• Provide a business orientation as foundation for
Information Systems methodology
• Offer recognition of value of the analysis and
understanding of data and its metadata (corporate assets)
• Establish information requirements definition and instill
data management practices into course organization
• Address data quality, data integrity issues
• Promote educational use of data management tools and
techniques
Major Concepts in Teaching
Data Management
• Architecture (Logical and Physical)
• Information Resource Management
– Data Administration
• Logical Data Modeling, Data Dictionary, Glossary, Standards
– Database and Systems Administration
– Decision Support / Data Warehousing
• Information Analysis
– Critical thinking, analytical documentation
• Common Data Management Tools and Practices
Roles in Enterprise Data
Management
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Data Analyst
Business Analyst
Database Administrator / Database Analyst
Technical Writer / Documentation Specialist
Data Warehousing Specialist
Note: MIS education can prepare students to fill all these roles
Organizational Issues in
Teaching Data Management
• Lack of faculty/instructor understanding and support
of data management as a discipline in MIS
• Conflicting agendas and lack of information
sharing/continuity among MIS instructors
• Lack of data management tool/technique training in
MIS faculty
• Absence of enterprise view of organization
• Lack of adequate texts focusing on business/logical
data management
Address these issues as part of curriculum development and implementation
Enterprise Data Management
Tools
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Data Dictionary/Repository
Business Intelligence/Business Rules Directory
Data Modeling and DBMS Design
Process Modeling and Systems Design
Data Mining and Business Analysis
Communication and Documentation
Effective use of these tools and techniques can contribute greatly
to the students’ experiences in learning data management
Applying Data Management
in the Classroom
• Design course around the actual implementation of data
management in a business/organization
• Lectures on data management topics drawn from texts
and available articles
• Develop student project
– divide students into small teams
– each team functions as a data management consulting company
– team “implements” each topic each week for a fictitious company in need
of data management
• Essay tests gauge student’s use of analysis and
communication skills, and concept understanding
Continuous Process
Improvement
• Establish an strategy for teaching data management
strategy in an MIS curriculum and implement review
processes based on CPI
• Continuous focus on instructional quality, relevance to
the business community and student learning
• Value of MIS instruction increases as confidence in its
consistency, management, relevance and quality increase
– Data Management is very relevant to current and future
business needs in MIS
– read W. E. Deming, and L. English
Communication and
Documentation
• All educational activities should require proper use of
critical thinking, analytical skills and communication
(oral and written) skills
• Development of texts and related material for teaching
data management is needed
• MIS instructors should participate in the development
of an MIS curriculum that incorporates the teaching of
data management in the database areas
Learning Outcomes
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Analytical skills
Critical thinking skills
Investigation and discovery skills
Concepts of data management to complement standard
database administration lessons
• Oral and written communication skills
• Consulting and concept implementation skills
Conclusion
• Teaching Data Management is essential to the success
of an MIS curriculum
• Value of data management in the classroom is related
to the university’s commitment to exploring the
changing and varied roles of MIS in the business
communities of today and tomorrow
• Proper use of tools and techniques can dramatically
increase the effectiveness of this approach to teaching
Data Management
Questions and Answers
Anne Marie Smith
[email protected]
[email protected]
La Salle University