Analytics Management

Beyond integrating dashboards, businesses can leverage Dashlake's analysis results to govern their workflows based on events. This allows for the automation of routine tasks, thereby alleviating employees and conserving valuable resources.

These established processes operate seamlessly in the background, enabling employees to focus on other critical challenges. Additionally, this approach minimizes human error and reduces turnaround times for these workflows.

Configure Analytics Workflow

In Analysis Management under Data Analytics, Pearl Diver can create a workflow process by configuring the following parameters:

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  1. Actualization Rate: Specifies the frequency of execution. Options include once per day, every 8 hours, every hour, etc.
  2. Start Time: Enables scheduling the start time for process execution.
  3. Time Zone: Allows selection of the desired time zone for scheduling.

Launch Now initiates the execution of the process at the specified start time.

View Analytics Workflow Details

Within the data analytics panel, the "VIEW" section provides detailed information about the workflow, including:

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  • Process ID: A unique identifier generated for each execution.
  • State: Indicates the current status of the workflow execution:

  • Completed: The workflow has successfully finished.

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  • Failed: The workflow execution encountered an error or did not complete successfully.

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  • Runtime: Date and time when the workflow was executed.
  • Process Result: Outcome or findings obtained from the workflow execution.