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Configuration
Configuring Unica Discover involves setting up and managing Discover user authorization and configuring Discover server components and services that process captured data.
Unica Discover Event Manager Manual
Manage Events - Anomaly Detection Tab
Through the Discover Event Manager, you can indicate the events, dimensions, and ratios whose variations you wish to track over time. Through the Anomaly Detection tab, you can track the metrics that are major anomaly detections on your site.
Auto-Creation of Anomaly Detections
Seeing updates in the Event Manager

Configuration
Configuring Unica Discover involves setting up and managing Discover user authorization and configuring Discover server components and services that process captured data.
- Unica Discover Configuration Manual
- Unica Discover Event Manager Manual
  - Discover Event Manager
    Unica Discover Event Manager provides the user interface for defining the event objects used to monitor your visitors' sessions. Here you can configure the events, hit attributes, dimensions, session attributes, alerts, and deviations to monitor customer success and struggle with your web application.
  - Getting Started with Discover Events
    Discover events provide the mechanisms for monitoring mission-critical metrics and other indicators of your web application's performance, including software errors, failures to complete transactions, customer struggles, and more. Through Discover events, IT staff, business managers, and executives can keep tabs on critical aspects of the overall customer experience.
  - Manage Events - Events Tab
    Through the Events tab in the Discover Event Manager, you can define, edit, test, and organize events to monitor specific conditions in your visitors' sessions. Discover events provide a flexible and powerful mechanism for tracking at the most granular level what is happening during a visitor's session.
  - Manage Events - Hit Attributes Tab
    When processing hit data, the Discover event engine searches each hit for patterns of text. These patterns can signify an event of interest, such as the occurrence of the word Sorry in the response, or can bracket a text string of interest, such as the value of a form field. These patterns can be explicitly specified or can be defined using the start and end tags for which an event should look when evaluating a condition or setting a value.
  - Manage Events - Dimensions Tab
    Through the Discover Event Manager, you can specify data dimensions to track metadata associated with an event. They can be considered the contextual data captured at the moment of event execution.
  - Manage Events - Session Attributes Tab
    A session attribute is a pre-defined variable that is persistent throughout the life of a Discover session. Session attributes may be used to store various data that may be referenced by events at any point during the session.
  - Manage Events - Alerts Tab
    Through the Discover Event Manager, you can define alerts that are triggered based on Discover events or Anomaly Detections. When threshold values are detected in the related event or Anomaly Detection, an alert is generated and delivered in the appropriate format to the designated recipients.
  - Manage Events - Anomaly Detection Tab
    Through the Discover Event Manager, you can indicate the events, dimensions, and ratios whose variations you wish to track over time. Through the Anomaly Detection tab, you can track the metrics that are major anomaly detections on your site.
    - Limitations
    - Overview
    - Creating an Anomaly Detection
      An anomaly detection is a stored calculation of deviations in the values of events, dimensions, or ratios. Using the recorded values and counts of the event or dimension, deviations are calculated based on the configured rolling window.
    - Creating or Editing a Ratio
      You can create ratios between selected events and dimensions.
    - Portal Messages
    - Data Management for Anomaly Detections
    - Overview of Anomaly Detections Calculations
    - Auto-Creation of Anomaly Detections
      - Limitations
      - Seeing updates in the Event Manager
    - Data Implications of Auto-Creating Anomaly Detections
    - Recommended Workflow
    - Other Configuration
    - Reporting
  - Manage Events - Import-Export Tabs
    Through the Import and Export tabs, you can export a set of selected event definitions and all supporting data objects from your current system and import a set that has been exported. Import/export controls enable the easy migration of event definitions from a development environment to testing and staging environments.
  - Event Tester
    Integrated into the Discover Event Manager, the Event Tester enables you to test active events and hit attributes, even if they are saved in draft mode, against sessions that you upload to the server. This integrated tool provides a quick method for validating the event objects you define before you deploy them into the live transaction stream.
  - Advanced Mode for Events
    In Advanced Mode, you can review and modify the actual JavaScript™ function that is called to process the event.
  - Event Administration
    The section provides an overview of how events are initially installed and stored in the database and later updated based on changes in the Discover Event Manager.

Seeing updates in the Event Manager

When a new event or dimension is created, the corresponding Anomaly Detection is created only after the event or dimension definition was committed to the server.

Auto-created Anomaly Detections are created by the Discover Data Service and published as changes back to the Discover Event Manager.
Newly auto-created Anomaly Detections appear in the Anomaly Detection tab as entries that were already saved. You do not need to resave auto-created Anomaly Detections.
Note: Depending on when the last Data Collector run occurs, it may take up to 5 minutes for auto-created Anomaly Detections to appear in the Event Manager. They are created and enabled, however, as soon as the Data Service receives confirmation that the corresponding events or dimensions were saved.
If an event is deleted, the corresponding Anomaly Detection is deleted.

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