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Defining nomenclature for fields to reduce data issues
Learn how to define a clear nomenclature to make your data instantly more readable and actionable.
Data can be confusing when key identifiers aren’t meaningful—but a structured naming system changes that. In this Data Survival Skills session, Robin walks through creating a nomenclature for property data, showing how to abbreviate cities, merge IDs, and build descriptive keys. By applying these conventions, you reduce lookup time, improve clarity, and prevent costly productivity losses. This method isn’t limited to hotel inventories—it works for classrooms, projects, locations, or any scenario where structured data is key. The approach gives faster insights, fewer errors, and measurable savings across your organization.
#DataManagement #DataAnalytics #WorkflowOptimization #Nomenclature #Productivity #DataClarity #ProcessImprovement #StructuredData #Efficiency
If you’re a data analyst, you’ve no doubt learned different skills, techniques, and tools pertaining to data. But sometimes it can be difficult to know when and why to apply these tools. In this weekly series, instructor Robin Hunt explains a new skill, secret, tip, technique, best practice, or golden piece of advice in each installment. Robin covers topics that can help you do your job better, such as joining data and data designs, privacy for data, transforming and cleaning data, and making data sets and visualizing data.
Note: Because this is an ongoing series, viewers will not receive a certificate of completion.