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Heuristic Analysis
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Heuristic Analysis

Definition updated on November 2023

What is heuristic analysis?

Heuristic analysis is a problem-solving approach that employs a practical method not guaranteed to be optimal or perfect, but sufficient for reaching an immediate, short-term goal or approximation.

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Multi-Dimensional Analysis
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M
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Metadata Harvesting
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M
🏭
Machine Data
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M
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Logical Data Model
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🛠️
Legacy Data Integration
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L
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Linked Data
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L
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Lagrangian Data Analysis
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🏛️
Information Architecture
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🕸️
Knowledge Graph
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Key Performance Indicators (KPI)
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JSON Data Interchange Format
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In-Memory Computing
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Internet of Things (IoT) Data
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Information Theory
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I
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Feature Extraction
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Indexing and Searching
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I
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Incremental Learning
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I
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Hybrid Data Models
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Homomorphic Encryption
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High-Performance Computing
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Hierarchical Data Format
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H
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Differential Privacy
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D
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Graph Databases
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G
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Forensic Data Analysis
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F
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File Format Conversion
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F
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Field-Level Encryption
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F
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Federated Learning
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F
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Extract, Load, Transform (ELT)
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E
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Enterprise Data Management
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Entity Resolution
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E
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Edge Computing
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E
🗃️
Document Storage
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D
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Dimensional Modeling
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D
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Diagnostic Analytics
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D
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Digital Forensics
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D
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Descriptive Analytics
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D
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Data Visualization Tools
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D
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Decision Support Systems
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D
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Database Design
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D
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Database Indexing
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D
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Data Value Chain
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D
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Data Utilization
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D
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Data Traffic Analysis
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D
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Data Transformation Services
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D
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Data Transmutation
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D
🌳
Data Taxonomy
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D
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Data Tracing
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D
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Data Subsetting
What is data subsetting?
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🏗️
Data Structuring
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D
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Data Streaming
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D
🛂
Data Steward
Who is a data steward?
D
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Data Serialization
What is data serialization?
D
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Data Semantics
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D
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Data Science Platforms
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D
🕰️
Data Retention
What is data retention?
D
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Data Reconciliation
What is data reconciliation?
D
🛡️
Data Resilience
What is data resilience?
D
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Data Recovery
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D
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Data Readiness Levels
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D
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Data Refinement
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D
📇
Data Registries
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D
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Data Reduction
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D
✔️
Data Quality Assurance
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Data Orchestration
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D
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Data Operations (DataOps)
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D
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Data Obfuscation
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D
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Data Literacy
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D
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Data Discovery
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D
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Data Curation
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D
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Data Blending
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D
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Data Migration
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D
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Data Normalization
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D
♻️
Data Deduplication
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D
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Data Profiling
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D
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Data Mashup
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D
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Data Enrichment
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D
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Master Data Management
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M
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Data Staging
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D
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Data Cleansing
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D
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Data Lifecycle Management
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D
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Data Standards
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D
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Quantitative Analysis
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Q
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Metadata Management
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M
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Data Federation
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D
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Knowledge Discovery
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K
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Data Provenance
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D
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Information Retrieval
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I
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Data Marts
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D
📊
Data Modeling
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D
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Open-Source Software Licensing
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Patent Filings
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Terms of Use and Privacy Policies
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API Terms of Service
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A
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Copyright Infringement Detection
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Trademark Protection
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DMCA Takedown Notices
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Anti-Piracy Measures
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A
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Digital Rights Management
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D
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Software Licensing
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Legal and Regulatory Frameworks
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