How to Prepare Business Data for Import

    CategoryGetting Started
    Article typeDocumentation
    Estimated reading time 8 min read
    Last reviewedRecently reviewed
    Applies toGEVADE CRM accounts where the feature is enabled
    Access requiredAccess may depend on your user permissions
    Plan/configuration noteFeature availability may depend on your selected plan and account configuration

    Summary

    Preparing business data requires cleaning your existing records, standardizing formats, and mapping your fields to GEVADE CRM's structure. Clean data ensures accurate reporting and effective automations.

    Who this article is for

    This article is for data analysts, CRM administrators, and operations managers responsible for migrating data into GEVADE CRM.

    Overview

    Data is the lifeblood of any CRM system. When transitioning to GEVADE CRM, the quality of the data you import will directly impact the platform's effectiveness. Importing messy, outdated, or poorly formatted data will lead to bounced emails, failed automations, and inaccurate reporting. The preparation phase is your opportunity to clean house. It involves reviewing your existing databases, removing duplicates, standardizing formats (such as phone numbers and dates), and understanding how your legacy data aligns with GEVADE CRM's architecture. While this process can be time-consuming, it is absolutely essential. A clean data import sets the foundation for personalized marketing, streamlined sales processes, and a reliable single source of truth for your entire organization.

    Before you begin

    • Export your existing data into a CSV format.
    • Review the data for duplicates, missing information, and formatting errors.
    • Standardize all phone numbers to the E.164 format (e.g., +1234567890).
    • Identify which custom fields you will need to create in GEVADE CRM before importing.

    Step 1: Export and Audit Your Legacy Data

    Begin by exporting your data from your previous CRM, spreadsheets, or email marketing tools into a CSV (Comma Separated Values) file. Open this file in a spreadsheet application and conduct a thorough audit. Look for inconsistencies, obsolete records, and duplicate entries. This is the time to decide what data is worth keeping and what should be discarded.

    Step 2: Clean and Standardize Formats

    Format standardization is critical. Ensure that all email addresses are valid. Most importantly, standardize all phone numbers to the international E.164 format (including the country code, e.g., +61400000000 for Australia or +12025550123 for the US). GEVADE CRM's telephony system requires this format to send SMS and make calls successfully.

    Step 3: Map Your Data Fields

    Review the columns in your CSV file and map them to the standard fields available in GEVADE CRM (e.g., First Name, Last Name, Email, Phone, Address). If you have data that does not fit into a standard field (e.g., 'Industry Type' or 'Customer Anniversary'), you will need to create Custom Fields in GEVADE CRM before you begin the import process, if your user permissions allow access.

    Step 4: Separate Contacts and Companies

    If you operate in a B2B environment, ensure your data clearly distinguishes between individual contacts and the companies they represent. GEVADE CRM allows you to link contacts to companies, but your import file must be structured correctly to establish these relationships during the upload.

    Step 5: Perform a Test Import

    Before importing your entire database of 10,000 records, create a small test CSV file with 5 to 10 rows. Import this test file to verify that all fields map correctly and that the data appears as expected in the CRM. This allows you to catch and correct mapping errors without having to clean up thousands of botched records.

    Configuration note

    Always save a backup copy of your original, unmodified export file before you begin cleaning and standardizing the data. Test this before going live with a full import.

    Important clarification

    Importing phone numbers without country codes is a frequent issue that will prevent the system from sending automated SMS messages to those contacts.

    Resolution guidance

    What if my CSV file is too large to import?

    If you have an exceptionally large database, consider splitting your CSV file into smaller batches (e.g., 5,000 records per file) to ensure a smooth and stable import process.

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