Telmai Academy
  • Data Quality and Observability Academy
  • Basics of Data Observability
  • Data Quality Indicators
    • Introduction - Indicators of Data Quality
    • Selecting Data Quality Indicators
    • Completeness
    • Uniqueness
    • Freshness
    • Validity
    • Accuracy
    • Consistency
    • Data Lineage
  • Advanced Topic: Implementing DQ indicators
    • Completeness
      • Built-in
      • User-Defined
  • Correctness
    • Categorical (Nominal or Ordinal)
    • Numerical (Discrete or Continuous)
    • Structured
    • Semi-Structured
    • Unstructured
    • Uncommon Types
    • Designated Values
  • Profiling data
    • Basics of profiling
    • Interactive Profiling
  • Monitoring data quality
  • Monitoring definitions
    • SLO
    • SLI
    • Policies
    • Setting up policies and alerting
  • Monitoring Sources
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Correctness

Validity + Accuracy

PreviousUser-DefinedNextCategorical (Nominal or Ordinal)

Last updated 3 years ago

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Telmai identifies Correctness to be the combination of Validity and Accuracy. The reason for combining them is justified by their interleaved requirements that are hard to separate in many applications. So combining them as Correctness was natural way for our platform and users.

Telmai assesses Correctness for various value and attribute types. These types can be broken down into various, non-mutually exclusive, categories as follows: