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Metadata Management Tools

Welcome to the Metadata Management Tools site, where we present information you might consider when evaluating tools and the vendors who provide them. If you're preparing an RFP, RFI, or simply trying to compare market leaders with others appearing on a Magic Quadrant or other vendor comparison chart, we know it's challenging to learn about pricing, functionality, and features. We hope this site will help.

Tool Selection
Criteria

Project Management
Considerations

Sample RFI
Keywords

When evaluating tools, start with standard tool selection criteria:
  • pricing
  • maintenance costs and other costs
  • suites versus best-of-breed
  • functionality and features
  • consulting needs
  • customer service
  • implementation assistance
  • training
  • vendor stability

You’ll need to consider the information you collect in the context of your organization’s culture and environment:
  • who will be using these tools
  • people and roles
  • accountability and controls
  • processes and workflow
  • policies and standards that apply to these tools
  • architectural considerations
  • cross-project interdependencies
  • the expertise of your workforce.

You’ll also want to determine whether you need to collect requirements or approvals from business stakeholders. This may be necessary if the tools or the data they touch
  • fall subject to compliance or legal requirements
  • are subject to approval by your internal or external auditors
  • are part of processes or procedures subject to formal change control
  • fall subject to approval by your IT Portfolio Management group


In many organizations, the Project Management Office (PMO) and/or the Application Portfolio Management group expect to be involved in the selection of software applications. They may very well have their own set of requirements. Following are some keywords often found in PMO-based requirements.

  • Assumptions
  • Availability Management
  • Back-out Plan
  • Balanced Scorecard
  • Baseline
  • Benchmarking
  • Business Case
  • Business Continuity Management (BCM)
  • Business Driver
  • Business Impact Analysis
  • Business Process Management
  • Business Process Modeling
  • Business Rule
  • Change Control
  • Change Management
  • Configuration Baseline
  • Configuration Management
  • Constraints
  • Contingency Plan
  • Cost Benefit Analysis
  • Critical Success Factor (CSF)
  • Deliverable
  • Deming Cycle
  • Deployment
  • Development Environment
  • Entry Criteria
  • Exit Criteria
  • Functional Requirements
  • IT Help Desk
  • IT Infrastructure
  • Iterative Process
  • Just in Time Development or Deployment
  • Key Performance Indicator (KPI)
  • Lessons Learned
  • Lifecycle
  • Metric
  • Milestone
  • Non-Functional Requirements
  • Outsourcing
  • Pareto Principle
  • Performance Testing
  • Plan-Do-Check-Act
  • Planned Downtime
  • Policies and Standard
  • Portfolio Management
  • Processes and Procedures
  • Regression Testing
  • Release Management
  • Request for Change (RFC)
  • Requirements Management
  • Requirements Traceability
  • Retirement Schedule
  • Return on Investment (ROI)
  • RFI, RFQ, RFP
  • Risk Analysis
  • Risk Assessment
  • Risk Identification
  • Risk Mitigation
  • Rollout
  • ROM estimate
  • Scalability
  • Scope
  • Scope Change
  • SDLC
  • Service Catalogue
  • Service Delivery
  • Service Desk Ticket
  • Service Level Agreement (SLA)
  • SME involvement
  • Software as a Service (SaaS)
  • Software Asset Management
  • Software Development Life Cycle (SDLC)
  • Specifications
  • Testing
  • Total Cost of Ownership (TCO)
  • Traceability
  • Unified Modeling Language (UML)
  • Unit Testing
  • Use Cases
  • User Acceptance Testing (UAT)
  • Versioning
  • Work Breakdown Structure
  • Workflows

  • Access Management
  • Authorization
  • CDI
  • Commercial Off the Shelf (COTS)Conceptual Data Model
  • Customer Data Integration
  • Data Analysis
  • Data Categorization
  • Data Classification
  • Data Dictionary
  • Data Lineage
  • Data Mart
  • Data Masking
  • Data Mining
  • Data Model Notation
  • Data Modeling
  • Data Monitoring
  • Data Privacy
  • Data Quality
  • Data Synchronization
  • Data Type
  • Data Visualization
  • Drill Down
  • Drill Up
  • Enterprise Modeling
  • Extendibility
  • Extract Transform Load (ETL)
  • Federated Data
  • Filters
  • Granularity
  • Hierarchy
  • Inheritanceli>Interfaces
  • Interoperability
  • Logical Data Models
  • Master Data
  • Master Data Management (MDM)
  • Meta Data Repository
  • Normalization
  • Physical Data Models
  • Privacy
  • Private Data
  • Query
  • Real-Time Processing
  • Records Management
  • Reference Data
  • Referential Integrity
  • Reporting
  • Repository
  • Segregation of duties
  • Semantics
  • Sensitive Data
  • Service-Oriented Architecture (SOA)
  • Slice and Dice
  • Schemas
  • Stored Procedures
  • Subject Areas
  • Sub-types
  • Super-types
  • Surrogate Keys
  • Views


Standardization Considerations

Often tools must comply with internal or external regulations, policies, or rules. Following are some keywords often found in regulatory or standardization requirements.

  • ANSI
  • Capability Maturity Model (CMM
  • COBIT
  • COSO
  • IEEE
  • ISO/IEC 20000, BS 7799
  • ITIL
  • (NIST
  • Six Sigma Standards
  • UML Processes
  • World Wide Web Consortium (W3C) Standards
  • XBRL (eXtensible Business Reporting Language)