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The total number of tasks, including retried tasks, for each state: Successful Abandoned Failed Task

 status. Weekly Exception Breakdown Column Chart Total number of exceptions for each week

Chart Displays the average handling time, in seconds, for each item per queue.

)))|((( The total number of tasks, including retried tasks, for each state: * **Successful** * **Abandoned

Chart )))|((( Total number of exceptions for each week, with a breakdown by exception type

)))|((( Displays the average handling time, in seconds, for each item per queue. ))) ))) {{velocity

worked per day, for each agent. 5 Top 10 Agents with Errors Pie Chart The ten agents with the most

executing each process.

)))|((( Average hours worked per day, for each agent. ))) |5|((( **Top 10 Agents with Errors** )))|((( Pie Chart

)))|((( The agents that spent the most time executing each process. ))) ))) )))

. Create a new workflow project. Each business process may be represented by an akaBot project which

 for details of each activity. IV. Designer The Designer panel allows you to design your automation projects

, you can see result in each step. Step 1: Click 'Start' to run akaBot Studio Step 2: Click the “Output

. **~1. Create a new workflow project.** Each business process may be represented by an akaBot project

Activities//** for details of each activity. ==== (% style="font-size:16px" %)**IV. Designer

. Verify output** When run akaBot Studio, you can see result in each step. * Step 1: Click 'Start' to run

Displays each process by name, split by the number and status of all jobs for that process. Top 10

. Weekly Runs Column Chart The number of execution per week for each robot.

** )))|((( Tree Map )))|((( Displays each process by name, split by the number and status of all jobs

of execution per week for each robot. ))) ))) )))

For a better use of a machines's computing power, Agents can be configured in High-Density mode. This way, regardless of the machine's Windows Server version. If you have multiple users on it, a Agent can be registered under each user so that you can make the most out of the computing power available on that machine

For a better use of a machines's computing power, Agents can be configured in High-Density mode. This way, regardless of the machine's Windows Server version. If you have multiple users on it, a Agent can be registered under each user so that you can make the most out of the computing power available on that machine

User have to config Agent Setting for each Agent in Center before running High-Density Agents. In this article, we will show you how to set up Agent as below Step 1: Login Center Step 2: Choose the Agent tab Step 3: Choose Agents that need to be run High-Density mode then click Edit Step 4: Choose

User have to config Agent Setting for each Agent in Center before running High-Density Agents. In this article, we will show you how to set up Agent as below (% class="box infomessage" %) ((( **Step 1**: Login Center ))) (% class="box infomessage" %) ((( **Step 2**: Choose the Agent tab ))) (% class="box

Add Data Column Add Data Row Build Data Table Clear Data Table Filter Data Table For Each Row Generate Data Table Get Row Item Join Data Tables Look Up Data Table Merge Data Table Output Data Table Remove Data Column Remove Data Row Remove Duplicated Rows Sort Data Table

/bin/view/Activities/Data%20Table/Activities/Filter%20DataTable/]] * [[For Each Row>>url:https

. For each possible target, the wizard automatically selects an anchor, if one is available. Here

the wizard is opened for the first time, the **Target** needs to be indicated. For each possible target

the dedicated activities for each of these tasks. See also: Release Notes Activities

activities for each of these tasks. ))) See also: * [[Release Notes>>path:/bin/view/Activities/Python/%5B1

and automate conditional statements within the project, through if/else and for each statements. Delay can also

conditional statements within the project, through **if/else** and **for each** statements. **Delay** can also