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Data Readiness Levels
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Data Readiness Levels

Definition updated on November 2023

What are Data Readiness Levels?

Data Readiness Levels (DRLs) assess the maturity of data and its suitability for use in analysis, operations, and decision-making. DRLs help organizations to categorize their data based on its readiness for use, similar to Technology Readiness Levels used in product development.

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🧩
Multi-Dimensional Analysis
What is multi-dimensional analysis?
M
🌾
Metadata Harvesting
What is metadata harvesting?
M
🏭
Machine Data
What is machine data?
M
🧠
Logical Data Model
What is a logical data model?
L
🛠️
Legacy Data Integration
What is legacy data integration?
L
🔗
Linked Data
What is linked data?
L
🌊
Lagrangian Data Analysis
What is Lagrangian data analysis?
L
🏛️
Information Architecture
What is information architecture?
I
🕸️
Knowledge Graph
What is a knowledge graph?
K
📊
Key Performance Indicators (KPI)
What are KPIs?
K
🔄
JSON Data Interchange Format
What is JSON data format?
J
💻
In-Memory Computing
What is in-memory computing?
I
🌐
Internet of Things (IoT) Data
What is IoT data?
I
📡
Information Theory
What is information theory?
I
🧬
Feature Extraction
What is feature extraction?
F
🔍
Indexing and Searching
What is indexing and searching?
I
📈
Incremental Learning
What is incremental learning?
I
🧩
Hybrid Data Models
What are hybrid data models?
H
🔐
Homomorphic Encryption
What is homomorphic encryption?
H
💻
High-Performance Computing
What is high-performance computing?
H
🤔
Heuristic Analysis
What is heuristic analysis?
H
🗂️
Hierarchical Data Format
What is hierarchical data format?
H
🔐
Differential Privacy
What is differential privacy?
D
🕸️
Graph Databases
What are graph databases?
G
🔍
Forensic Data Analysis
What is forensic data analysis?
F
🔄
File Format Conversion
What is file format conversion?
F
🔒
Field-Level Encryption
What is field-level encryption?
F
🤝
Federated Learning
What is federated learning?
F
⚙️
Extract, Load, Transform (ELT)
What is Extract, Load, Transform (ELT)?
E
🏢
Enterprise Data Management
What is enterprise data management?
E
🔗
Entity Resolution
What is entity resolution?
E
🌐
Edge Computing
What is edge computing?
E
🗃️
Document Storage
What is document storage?
D
📐
Dimensional Modeling
What is dimensional modeling?
D
🔍
Diagnostic Analytics
What is diagnostic analytics?
D
🔎
Digital Forensics
What is digital forensics?
D
📊
Descriptive Analytics
What is descriptive analytics?
D
📊
Data Visualization Tools
What are data visualization tools?
D
💡
Decision Support Systems
What are decision support systems?
D
💾
Database Design
What is database design?
D
📑
Database Indexing
What is database indexing?
D
🔗
Data Value Chain
What is the data value chain?
D
📊
Data Utilization
What is data utilization?
D
🚦
Data Traffic Analysis
What is data traffic analysis?
D
🔄
Data Transformation Services
What are data transformation services?
D
🧙‍♂️
Data Transmutation
What is data transmutation?
D
🌳
Data Taxonomy
What is data taxonomy?
D
🔍
Data Tracing
What is data tracing?
D
🔲
Data Subsetting
What is data subsetting?
D
🏗️
Data Structuring
What is data structuring?
D
🌊
Data Streaming
What is data streaming?
D
🛂
Data Steward
Who is a data steward?
D
🔢
Data Serialization
What is data serialization?
D
📚
Data Semantics
What are data semantics?
D
🧪
Data Science Platforms
What are data science platforms?
D
🕰️
Data Retention
What is data retention?
D
🤝
Data Reconciliation
What is data reconciliation?
D
🛡️
Data Resilience
What is data resilience?
D
⛑️
Data Recovery
What is data recovery?
D
💠
Data Refinement
What is data refinement?
D
📇
Data Registries
What are data registries?
D
🗜️
Data Reduction
What is data reduction?
D
✔️
Data Quality Assurance
What is data quality assurance?
D
🎼
Data Orchestration
What is data orchestration?
D
⚙️
Data Operations (DataOps)
What are Data Operations (DataOps)?
D
🛡️
Data Obfuscation
What is data obfuscation?
D
📘
Data Literacy
What is data literacy?
D
🔎
Data Discovery
What is data discovery?
D
📚
Data Curation
What is data curation?
D
🎨
Data Blending
What is data blending?
D
🚚
Data Migration
What is data migration?
D
🔍
Data Normalization
What is data normalization?
D
♻️
Data Deduplication
What is data deduplication?
D
🕵️
Data Profiling
What is data profiling?
D
📈
Data Mashup
What is a data mashup?
D
✨
Data Enrichment
What is data enrichment?
D
👑
Master Data Management
What is master data management?
M
🚧
Data Staging
What is data staging?
D
🧹
Data Cleansing
What is data cleansing?
D
🔄
Data Lifecycle Management
What is data lifecycle management?
D
📏
Data Standards
What are data standards?
D
🔢
Quantitative Analysis
What is quantitative analysis?
Q
🗂️
Metadata Management
What is metadata management?
M
🌐
Data Federation
What is data federation?
D
🧠
Knowledge Discovery
What is knowledge discovery?
K
📜
Data Provenance
What is data provenance?
D
🔍
Information Retrieval
What is information retrieval?
I
🏪
Data Marts
What are data marts?
D
📊
Data Modeling
What is data modeling?
D
🆓
Open-Source Software Licensing
What is open-source software licensing?
O
💡
Patent Filings
What are patent filings?
P
📝
Terms of Use and Privacy Policies
What are terms of use and privacy policies?
T
📝
API Terms of Service
What are API terms of service?
A
🕵️‍♀️
Copyright Infringement Detection
What is copyright infringement detection?
C
®️
Trademark Protection
What is trademark protection?
T
📜
DMCA Takedown Notices
What are DMCA takedown notices?
D
⛔️
Anti-Piracy Measures
What are anti-piracy measures?
A
🔒
Digital Rights Management
What is digital rights management?
D
💻
Software Licensing
What is software licensing?
S
⚖️
Legal and Regulatory Frameworks
What are legal and regulatory frameworks?
L
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