Interpretability
The degree to which data are in an appropriate language and units of measure.
- •Clear understanding of data by users, regardless of their technical background.
- •Reduced misinterpretation and more accurate application of data in business contexts.
- •Improved communication and collaboration when discussing data-driven insights.
- •Enhanced data literacy across the organization.
- •Misunderstanding of data leading to flawed conclusions, poor decisions, or incorrect actions.
- •Wasted time as users struggle to decipher cryptic codes, ambiguous terms, or unclear units.
- •Barriers to effective data use, particularly for non-technical business users.
- •Low data literacy and reluctance to engage with data.
%
Logistics: All financial reports clearly state the currency used (e.g., USD, EUR, JPY) for all monetary values.
International Trade: Product specifications are available in multiple languages, and all measurements clearly state their units (e.g., 'Length: 10 meters', 'Weight: 500 Kilograms').
Scientific Data: All data values are accompanied by metadata defining their units (e.g., 'Temperature (Celsius)', 'Pressure (Pascals)').
Logistics: A report shows 'Container Weight' as a numerical value but doesn't specify if it's in kilograms (KG) or pounds (LBS).
International Trade: Product descriptions are only available in one language, making them difficult for international partners to understand.
Scientific Data: A dataset contains a column labeled 'Temp' with numerical values, but no indication of whether it's Celsius, Fahrenheit, or Kelvin.
E.164 International Phone Number Format improves 31
ISO 8601 Date-Time Format improves 31
Unit of Measure Standardization improves 31
Incoterms® Validation improves 31