
CSV Files in Salesforce | Data Import | How-to Guide
Data Import: Clean and Prepare Your Data Using Excel, Data Import: Clean Up Your Import FileĀ
Learning Objectives
- Data Import: Clean and Prepare Your Data Using ExcelĀ
- Data Import: Clean Up Your Import FileĀ
Data Import: Clean and Prepare Your Data Using ExcelĀ
Excel functions can help clean up data and prepare import files to save time and prevent manual data edit errors.Ā
Sort and Filter
- Locate Duplicates>> use Sort to clean up duplicatesĀ
- Isolate certain groups of data:Ā
- Filter to enforce naming conventionsĀ
- Apply Phone or address formattingĀ
- Find blank and identify incomplete records.Ā
Don't forget to check out: Object Records Creation Using CSV File | Salesforce Guide
Vlookup
- Match Salesforce user IDs to the names of record ownersĀ Ā
- Match parent record IDs to child records.Ā
Import new accounts only with email and assign them to the correct user who owns them:Ā
Use Data Loader export usernames and IDs>> Use Vlookup Match each email in the import file with the export of user ID. lookup up the email>>Click the function button >> find Vlookup >> click OK>>Click Lookup Value( the value that matches with the lookup table)>>Click Table Array(the location of the lookup table)>> Click Column Index Number (the column of information we want to be returned, once the lookup value is matched)>> Click Range lookup (asking if we want an exact match) >>save.Ā Ā
Paste as Special Values
- Cells can contain formulas that are dependent on the cells they reference. Convert the formulas to values, so we can delete columns we no longer need. Select the formulas>>Right click and choose copy>>Right click again and choose Paste Special⦠as Values.Ā
Format Cells Format zip codes, social security numbers, and phone numbers that begin with a zero.Ā
Find + Replace
- To replace one value with another within a selected area.Ā
- To remove characters such as dashes or empty spaces.Ā
Concatenate
- Combine area code and phone number.Ā
- Combine 2 address fields into one.Ā
- Combine a userās name with an email suffix.Ā
Text to Columns Separates 1 cell into 2 cells.Ā
Save as CSV
- Prepare files for import into Salesforce. Save as a comma-separated values format to import data into Salesforce org.Ā
- Converts all formulas to values.Ā
Reference Link
Use Data Import WizardĀ
Data Import: Clean Up Your Import FileĀ
3 main steps to prepare for importing data.Ā
- Clean up dataĀ
- Prepare the import file itselfĀ
- Configuring in Salesforce.Ā
So why take time to clean up data?Ā
- AccuracyĀ
- UsabilityĀ
Users depend on clean data. Dirty data makes your data untrustworthy.Ā Ā
What should you clean up?Ā
- Resolve duplicates and delete the information you donāt need.Ā
- Correct spelling and punctuation errors.Ā
- Develop and enforce naming conventions.Ā
- Fill in incomplete records.Ā
Prepare import file with cleaned data on Data Import Wizard and the Data Loader.Ā
- Match field names.Ā Ā
- Importing contacts, opportunities, or other objects that have parent records, youāll need to add a column for the parent record.Ā
Prepare Salesforce after preparing the import file.Ā
- Compare your data to each Salesforce object.Ā
- Create custom fieldsĀ
- Add picklist valuesĀ
- Create external IDsĀ
Keep Data Clean in Salesforce and focused on end-users.Ā
Check out another amazing blog by Narendra Sa here: Mobile App for Salesforce - Learn All About it Here
Ā
Ā
Ā
Responses