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| Introduction

The common framework provides the users with a consistent builder, sharing mechanism, like, bookmark, adding description, and custom arrangement capability for analytics.

A Common Framework is introduced to maintain a consistent design pattern and workflow so as to improve and increase user engagement. This would also help users engage in a standardized sharing mechanism and contribute more frequently to the system.

The Analytics feature includes the existing custom widgets capability which have been enhanced with a common framework featuring calculated parameters with Blockly support for parameter conditions. Also, additional enhancements have been introduced which include dual Y-axis configuration, Y-axis scaling, with minimum/maximum configuration values, enabling users to derive deeper insights and make more informed decisions.

| Types of Analytics

Analytics are categorized into two types depending on visibility. They are as follows:

  • Analytics Created by Me
  • Analytics shared by others.

Analytics Created by Me

Analytics shared by me are the ones that are created by the signed-in users and shared with other users. This is visible to all Internal and Facilisight users once shared.

created by me.png

Analytics shared by Others

Analytics shared by others are the ones that are created by other users as shared tables. This as well is visible to all Internal and Facilisight users once shared.

shared by others.png

Note: Support users have the capability to share analytics to Internal Portal only or both Internal+Facilisight

| Like and Bookmark Capability

The common framework also provides capability to the users to like and bookmark analytics for future reference.

Screenshot 2024-09-19 150721-11191.png

Note: Like option is only available for analytics shared by others. However, a user can bookmark analytics created or shared by others for reference.

| View Capability

The common framework also provides capability to the users to view created analytics shared by others

Screenshot 2024-09-19 155434.png


Note: Users will be able to add a maximum of 20 analytics from Site Overview and 20 analytics from a specific system or zone page

  • Click the view icon to view analytics shared by others

Screenshot 2024-09-19 180208.png

The analytics is displayed.

| Search Capability

Users can also search for specific analytics in the table by typing in the name in the search bar.

Screenshot 2024-09-19 152026.png

| Accessing the Analytics

From the Widgets Screen

In the Widgets screen,

  • Click the Analytics tab

AN1.png

The Analytics tab is displayed.

analytics tab-1.png

 

 

  • Click Add Analytics to bring up the Analytics table

Screenshot 2024-09-19 151033.png

  • Click Create to create a new analytics

Screenshot 2024-09-19 151440.png

The analytics table is displayed.

Screenshot 2024-09-19 151633.png

From the Site Overview page

The Analytics tab can also be accessed from the Site Overview Page by clicking the + icon.

In the Internal Portal,

  • Click the + icon

Screenshot 2024-09-19 173130.png

  • Click the Analytics icon

Screenshot 2024-09-19 173242.png

The Analytics option is displayed.

Screenshot 2024-09-19 151633.png

| Creating a New Analytics

  • Select the edit icon to edit the name of the Analytics

Screenshot 2024-09-19 152151.png

  • Select the personal or shared tab to select the visibility of the analytics

Screenshot 2024-09-19 152151.png

  • Click the shared option to share analytics to Internal Portal only or both Internal+Facilisight

Screenshot 2024-09-19 175035121.png

  • Enter the why and what description for the analytics

1-113.png

  • Select the build type as builder or custom

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  • Select level as system or zone

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  • Select the required tags associated with the level

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Users will have the option to combine analytics by query, combine by equips or combine all the points associated with it.

Screenshot 2024-09-19 153518-1112.png

  • Select the parameters and the calculated parameters for the analytics

calcu.png

Note: Users will be able to add a maximum of 30 parameters along with 40 conditions for each parameter

  • Select the calculator icon to access the Blockly page

Screenshot 2024-09-19 154511.png

  • Use the Blockly blocks to compute and display the calculated parameters, as below:

mceclip131.png

  • Click Save to save and confirm the calculation blocks built.
  • Click Back to Parameters to go back to the parameters addition screen.

Screenshot 2024-09-19 154943.png

  • Click Create New Analytics to confirm the table created.

| Editing an Analytics

  • Select the edit icon to further edit an analytics once created

x edit.png

  • Select Continue to edit the analytics

sure.png

  • Click Update Analytics once it is edited
  • Click Create as New Analytics to duplicate the table as a new analytics

Screenshot 2024-09-19 160029.png

Note: Only analytics created by me can be edited. Edit option isn't applicable for analytics shared by others.

| Advanced Features

The analytics comes with advanced features to aid the user in making informed decisions on datasets. They are described as follows:

1. Dual Y-Axis Configuration

Users will have the flexibility to configure the Y-axis, selecting from both queried and calculated parameters. By default, the Y-axis will be set to “Left Y-axis,” but users can change this setting to “Right Y-axis” if they prefer.

However, it’s important to note that if any conditions are applied to the parameters, the dual Y-axis configuration will not be available. Once the configuration is applied, only the user who created it will have the authority to modify the settings, ensuring that the configuration remains consistent.

2. Y-Axis Scaling

Users will have the flexibility to scale the Y-axis. The “Axis Options” call-to-action will be available for configuration. Depending on the dual-axis setup, users can scale both the left and right Y-axes. They will also be able to set minimum and maximum values for both the left and right Y-axes.
Additionally, users will have the option to revert to the default auto-scaling by clicking on the revert icon. Once the configuration is applied, only the user who created it will have the authority to modify the settings, ensuring consistency.

  • Login to the Internal Portal

 

  • Click the Analytics icon

Screenshot 2024-09-19 115058.png

The Analytics page is displayed.

 

  • Click create New Analytics to create a new analytics table

Screenshot 2024-09-19 1152391.png

 

The Analytics table is displayed.

  • Select the option to analyze combining by query, equips or points

Screenshot 2024-09-19 134110.png

 

  • Select the value dropdown to assign a custom value to the parameter or select the parameter itself

Screenshot 2024-09-19 1323071112.png

 

  • Click the dropdown to select the Left or Right Y axis from the option

dual-1.png

  • Select a specific chart to analyze in the table

Screenshot 2024-09-19 133723-1.png

  • Click Create New Analytics to create a new analytics table with dual Y-axis Configuration

dual-2 new.png

Y-Axis Scaling

  • Click Axis options to select the scaling for X-axis or Y-axis configuration

axis options.png

The Axis Options is displayed.

Screenshot 2024-09-19 1310591.png

  • Select minimum and maximum values for the Axis configured. By default, the values are set to Auto

Screenshot 2024-09-19 131439-114.png

 

  • Click the revert icon to revert the scaling values to default i.e. auto scaling

Screenshot 2024-09-19 131637-119.png

  • Click Create New Analytics to save the analytics table.

Screenshot 2024-09-19 131637-119-111.png

Under the Analytics tab,

  • Click Add Analytics to add the analytics to the chart 

Screenshot 2024-09-19 140238-1019.png

  • Click the Options icon to export, to edit, to remove from view or delete the analytics

Screenshot 2024-09-19 140730-1121.png

  • Select the Export option to export the analytics to png or excel.

Screenshot 2024-09-19 141932-1.png

| Viewing Analytics on the Widgets Page

The existing tooltip view for widget is combined with analytics.

Screenshot 2024-09-19 180744.png

The Analytics can be represented in three ways by combining queries, combining equips or by combining all the points.

Combination Analytics Representation
Combining Queries Screenshot 2024-09-19 182026.png
Combining Equips Screenshot 2024-09-19 182047.png
Combining All Points Screenshot 2024-09-19 182110.png

 

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