Objective

Data Redact

Applies To

  • Jumper
  • Data Privacy, Customers

Overview

Our Data Redact feature allows you to redact sensitive information from your data sets in our systems securely. With this feature, you can easily remove personal identifying information (PII) such as names, addresses, email ids, and mobile numbers from your data, while preserving the integrity of the remaining information.

This feature is essential for ensuring compliance with data protection regulations such as GDPR. With Data Redact, you can rest assured that your data is protected and that you are taking all necessary steps to safeguard the privacy of your customers.

Customer Redact

Under GDPR (and other privacy laws and regulations), individuals have the right to have their personal data erased. Your users may ask you to remove any personal data being held about them. This could typically happen when someone terminates their relationship with an enterprise, for example, the user who no longer needs the service, and asks the enterprise to delete their account and all the information it holds about them.

If your customer sends you a request to have personal data erased, you can use the Customer Redact to immediately remove personal identifying information (PII) such as names, addresses, email ids, and mobile numbers from your data, while preserving the integrity of the remaining information.

Auto Redact (Paid Service)

The auto-redact feature will automatically run daily and redacts personal identifying information (PII) such as names, addresses, email ids, and mobile numbers from our systems without any intervention from your side. Our Auto-redact feature allows you to define the time frame of redaction based on the user's inactive status of 30 days, 60 days, or 90 days.

To use the auto-redact feature, simply select the time frame related to the user's inactive status of 30 days, 60 days, or 90 days and our system will automatically scan your data sets and redact the personal identifying information (PII)  such as names, addresses, email ids, and mobile numbers from inactive user accounts, leaving the remaining data intact.

Please note: The scope of redaction is not configurable and includes the following personal identifying information (PII) such as names, addresses, email ids, and mobile numbers.

The data redact process typically takes 2 hours to complete, as the service needs to thoroughly scan and redact all instances of sensitive information. We recommend not running or scheduling the broadcast during the data redaction window.

The Auto-Redact process runs daily from 12:00 am to 2:00 am, Central European Time (CET) for the EU Instance and 12:00 am to 2:00 am, Coordinated Universal Time (UTC) for the US Instance.

We recommend not running or scheduling the broadcast during the data redaction window.

Please be advised that we are legally required or entitled to retain some types of data, such as order history as we are a commerce platform. We do this in line with applicable laws including for tax and accounting and fraud prevention purposes.

The US and EU instances employ a system where Server and application log data are gradually replaced to retain only the most recent 30 days of logs. Redacting data will not affect the logs, as they are automatically overwritten every 30 days.

Procedure

  1. Go to Settings >> Data privacy

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  2. Under Data Privacy, we have 3 sections:
    - About Data Redact: This section explains Jumper.ai’s Data Redact process
    - Customer Redact: This feature supports a one-time manual redaction process through CSV upload.
    - Auto Redact (Only Available if opted for the paid service): This feature supports a daily auto redaction process and allows you to define the time frame of redaction based on the user's inactivity of 30 days, 60 days, or 90 days.
    - Jobs/ History: Under Jobs/History you can track the Customer redact details such as - creation, completion, created by, redact status.

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  3. Select the Data Redact option i.e. Customer Redact or Auto Redact as per your requirement.

    Customer Redact:

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    To redact customer’s data under Customer Redact, follow these steps:

    • Go to the Customers Section on the Dashboard  → Customers → Export Customers 

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    • Filter customers based on one of the options: Name, Email, Mobile Number, Ref. Order ID, TAG & Custom Data.

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    • Export the list of customers in CSV.

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      You can select the customers you wish to redact from the downloaded list and remove the others from the CSV file.

    • Upload the CSV file to the Customer Redact section once your customer list is ready, then enter your login password to confirm the redaction process of the uploaded customers.

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      In case you have records that have a duplicate name/email / mobile number, then those records will be displayed for verification. Please verify and confirm that all records are expected to be redacted.

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      Please note: The data redact process typically takes 2 hours to complete, as the service needs to thoroughly scan and redact all instances of sensitive information We recommend not running or scheduling the broadcast during the data redaction window.

    • Once the data redaction process is completed, you will receive a confirmation email.

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      Auto Redact: 

      To redact customer’s data under Auto Redact, follow these steps:

      • Enable the Auto-Redact Service
      • Select the time frame of redaction based on the user's inactive status of 30 days, 60 days, or 90 days. You can adjust this setting at a later time.
      • Enter your login password to confirm the redaction of the data.

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        Please note: The data redact process typically takes 2 hours to complete, as the service needs to thoroughly scan and redact all instances of sensitive information

         

        The Auto-Redact process runs daily from 12:00 am to 2:00 am, both on Central European Time (CET) for the EU Instance and Coordinated Universal Time (UTC) for the US Instance. We recommend not running or scheduling the broadcast during the data redaction window.

        Jobs/History:

        The Job History page will display a list of data redact jobs, including their start and completion timestamps, redact type (Customer Redact - Manual or Auto Redact), and the number of customers successfully redacted or those where the redaction failed.

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