Data Management

Description

The Data Management section is all about analytics and system logging. Here you can toggle whether you want to create and store data about contacts and whether you want to collect analytics data for the Endpoint. Furthermore, you can enable masking sensitive data in your analytics records and the system log-files of the underlying infrastructure.

You can configure data management, analytics & mask settings for endpoints individually in the Endpoint Editor you reach by clicking on your Endpoint in the Endpoints section of the left-hand project navigation pane.

Figure 1: Data ManagementFigure 1: Data Management

Figure 1: Data Management

Properties

Contact Profiles


This setting enables the collection of individual contact profiles to store persisted user data across sessions.

Collect Analytics


Enable the collection of Analytics data for this endpoint.

Mask Sensitive Analytics


Masks potential sensitive information in analytics information. Replaces potentially sensitive information with asterisks. If this feature is used within an endpoint, the Intent Trainer can't be used as we will not e.g. store the original text of the user. The individual records will also not be available through our OData Analytics Endpoint endpoint.

Ignore specific fields

In order to disable logging of specific analytic fields, one can access and manipulate them within a Code Node using the analyticsdata variable:

analyticsdata.text = "overwritten text";
delete analyticsdata.data.token;

In this example, the token will be deleted from the analytics data before it's written to the database.

Mask Sensitive Logging


Masks potential sensitive information in system logs produced by the underlying infrastructure. This will also include the logs page within our UI. Here is an example of a log which gets produced when a new message arrives in our system:

Log entry containing potential sensitive information (the text of the user).Log entry containing potential sensitive information (the text of the user).

Log entry containing potential sensitive information (the text of the user).

The text could e.g. contain the name of the user, his location or e.g. a credit card number. Once the masking was enabled, all fields which could contain information from the user will be hidden and replaced as you can see in the following figure:

Redacted log entry where certain information were replaced.Redacted log entry where certain information were replaced.

Redacted log entry where certain information were replaced.

We will replace the following properties:

  • userId
  • text
  • data

Collect Conversations


Defines whether we should store conversation histories in contact profiles for end-users.

External Analytics Services


You can connect your endpoint with additional analytics providers. An account and API key with an external analytics service provider is required. Note when using external Analytics providers API quota limits, additional terms, conditions and/or charges may apply.

Available External Analytics Services:

Chatbase

We have an integration with Chatbase. To get more information about Chatbase, follow this link.

Dashbot

Cognigy.AI provides an extensive, channel-specific integration with Dashbot.
Go to our Dashbot Page for a detailed description of how to setup your Dashbot integration.


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