Considerations Before Integrating Data into Datasets
Handle Numeric Values
CRM Analytics internally stores numeric values in datasets as long values. For illustration, CRM Analytics stores the number 3,200.99 with a scale of 2 as 320099. The stoner interface converts the stored value back to decimal memorandum to display the number as3200.99.
Handle Date Values
When CRM Analytics loads dates into a dataset, it breaks up each date into multiple columns, similar as day, week, month, quarter, and time, grounded on the timetable time. For illustration, iCertified-Tableau-CRM-and-Einstein-Discovery-Consultant f you prize dates from a Create Date column, CRM Analytics generates columns similar as Create Date_Day and Create Date_Week. still, you can enable CRM Analytics to induce financial date columns as well, If your financial time differs from the timetable time.
Handle Custom Time Zone Values
Time zone support lets you view time-specific data on dashboards in a time zone that you specify for your org. By dereliction, CRM Analytics datasets are n’t time- zone apprehensive, so CRM Analytics treats all date- time values as being in GMT. The data you see on your dashboards is in GMT, anyhow of your original time zone. Exam Labs Dumps When you enable time zone support, CRM Analytics converts date- time values in your datasets to the time zone named for CRM Analytics. You can also produce time zone enabled dashboards to display these converted date- time values. druggies see dashboard data in the single custom time zone you set, not their particular timezone specified in Salesforce.

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