DataTerminology.comEnsuring fitness-for-purpose data, quality metrics, quality frameworks
Domain: Data Management & Governance
Terms (180)
- 5️⃣ 5Vs
- 🗑️ AI Slop
- 🔖 Account Status
- 🏷️ Address Standardization
- 🏠 Addresses
- 🩺 American Medical Association’s Prescriber Database
- 🧩 Ancillary Data
- 🚨 Anomaly Detection
- 🧾 Attribute Naming
- ↩️ Backfill
- 📊 Binning
- 🧭 Business Data Steward
- 📐 Business Rules
- 📝 CIDEr
- 🧮 Census
- 🗺️ Census Tract
- 🏥 Clinical Data
- 🔢 Code Values
- 🛡️ Collibra
- ✅ Completeness
- 🎯 Confidence Percentage
- ✔️ Constraint Checking
- 📏 Constraints
- 📈 Control Chart
- 🔗 Correlation
- 🧭 Counties
- 🌍 Countries
- 🌍 Country Codes
- 📚 DAMA-DMBOK
- 🎯 Data Accuracy
- ❓ Data Ambiguity
- 🔍 Data Anomalies
- 🔎 Data Anomaly Detection
- ⚖️ Data Balancing
- 🧹 Data Cleaning
- 🧼 Data Cleansing Tools
- ✅ Data Completeness
- 🧑💼 Data Council
- ⏱️ Data Currency
- 🧬 Data Diversity
- ➕ Data Enrichment
- ⏱️ Data Freshness
- 🕳️ Data Gaps
- 🛡️ Data Governance
- 👥 Data Governance Committee
- 🏢 Data Governance Office
- 🧼 Data Hygiene
- 🩹 Data Imputation
- 🔒 Data Integrity
- 🔄 Data Lifecycle
- 🗂️ Data Management
- 🧩 Data Matching Engines
- 📊 Data Monitoring
- 🧭 Data Onboarding
- 🧼 Data Preprocessing
- 🔍 Data Profiling
- ✅ Data Quality
- 📊 Data Quality Dashboards
- 🛡️ Data Quality Gates
- ✅ Data Quality Tools
- ⚖️ Data Reconciliation
- 🕳️ Data Sparsity
- 📏 Data Standardization
- 🧭 Data Steward
- 🫧 Data Swamp
- 🧰 Data Utility
- ✔️ Data Validation
- ✅ Data Veracity
- 🧹 Data Wrangling
- 📅 Date Format
- 🧹 Deduplication
- 🧪 Deequ
- 🔇 Denoising
- 🏷️ Descriptions-Labels
- ✅ Deterministic Algorithms
- 🩺 Diagnosis Codes
- 🏢 Dun and Bradstreet (D&B) Company Directory
- 🧭 Duplicate Identification
- 🧩 Entity Resolution
- 📊 Equal-Width Binning
- 🔎 Evaluate and Assess Data Sources
- ✅ Exactly-Once Processing
- 🔎 Exploratory Data Analysis
- 🙈 False Negative
- ⚠️ False Positive
- 🧮 Fellegi–Sunter Model
- 🗂️ Frequency Table
- 🥇 Golden Record
- ✅ Great Expectations
- 🔢 High Cardinality
- 🧾 ICD-10 Codes
- 🏥 ICD-9 Codes
- 🌐 ISO 3166
- 📜 ISO 8000
- 🗺️ ISO State Codes
- ✅ ISO-IEC 25012
- 🧩 Identity Resolution
- 🏷️ Image Annotation
- 🧩 Imputation
- 📊 Inter-annotator Agreement
- 📊 Interquartile Range
- 📈 Kurtosis
- 🧪 Label Noise
- ✍️ Labeling
- 🕰️ Late Data Handling
- 🏛️ Legal Master Data
- 🔡 Levenshtein Distance
- 🧹 Listwise Deletion
- 📍 Location Master Data
- 🔗 MAR
- 🎲 MCAR
- 🧩 MNAR
- 📏 Margin of Error
- 🧹 Master Data Analyst
- 🧭 Master Data Management
- 🫱🏻🫲🏽 Match-Link Rules
- 🧱 Match-Merge Rules
- 🔗 Matching
- 🩹 Mean Imputation
- 📏 Measurement Error
- 📏 Median Absolute Deviation
- 🩹 Median Imputation
- 🏷️ Metadata Policies
- ❓ Missing Data
- 📡 Monitor Data Movement
- 🛰️ Monte Carlo Data
- ♻️ Multiple Imputation
- 🏭 NAICS
- ∅ NaN
- 📡 Noise
- 🚫 Null Handling
- ∅ Null Value
- 🧹 OCR Post-Processing
- 🔢 Ordinal (NOIR)
- 🔢 Ordinal Scale
- 📉 Outliers
- 🏤 Postal Codes
- 🎲 Probabilistic Algorithms
- 📦 Product Master Data
- 🧪 Profiling
- 🧪 Quality Assurance
- ✅ Quality Control
- 📏 Quality Management
- ✅ Quality Principle
- 🎲 Random Sampling
- 📊 Range
- 📏 Ratio (NOIR)
- 📏 Ratio Scale
- ⚡ Real-Time Governance
- 🕵️ Root Cause Analysis
- 🧩 SHACL
- 🔍 SHAP
- ⚠️ Sampling Bias
- 🔀 Schema Drift
- 🛡️ Schema Enforcement
- 🧼 Scrubbing
- 🔄 Semantic Consistency
- ⚠️ Semantic Issues
- 🎯 Similarity Analysis
- 📉 Six Sigma
- 📈 Skewness
- 📉 Smoothing
- ✅ Soda Core
- 🗺️ State Codes
- 🗺️ States-Provinces
- 📊 Statistical Process Control
- 🛡️ Stewardship
- 🗃️ Survivorship
- 🧭 Survivorship Rules
- 🎯 Systematic Error
- 🧪 Testing
- ⏰ Timeliness
- 🔖 UNSPSC
- 📬 USPS State Codes
- 🆔 Uniqueness
- 🧩 Unlabeled Data
- ✔️ Validation Rules
- ✔️ Verification
- 🎯 Weighted Approximate Matching
- 🧩 ZIP Codes