Customer Survey Analysis (Linear Discriminant Analysis)

Bot takes in the input data in a CSV file and performs the LDA algorithm-driven classification and provides output in the MS Excel.

Top Benefits

  • Improves customer survey analysis process up to 25%.
  • Reduced time with rule based grouping and augments quick decisions based on predictions from survey data.
  • Provides high level of accuracy based on the quality of input data parameters.

Tasks

  • Bot model could be used for dimensionality reduction in the pre-processing step.
  • Bot model could be used for modeling differences in groups i.e. separating two or more customer classes.

Actions:
The Bot takes the CSV file and prepares the linear discriminant analysis and provides the output in Excel format.

Outputs:
Output: Result in the form of Excel. The output provides various customer groups.
Ex: Sample screenshots below shows the predicted class and whether the passenger is satisfied or not.

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In your Control Room, use the ‘Import’ button to load the downloaded file into your Automations.

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Bot Security Program
Level 1
Applications
Business Process
Category
Vendor
Automation Type
Bot
Last Updated
December 11, 2020
First Published
June 17, 2020
Platform
11.x
Community Version
11.3.1
ReadMe
ReadMe
Support

Bot Security

Level 1
  • All bots on Bot Store have passed a malware scan.

Bot Security Program

Automation Anywhere Bot Security is the RPA industry’s first of its kind bot security framework. In partnership with cyber security experts, Bot Security encompasses four (4) progressive levels of security designation. All bots including those built in-house or procured from Bot Store, can now be deployed reliably with secure bot development practices in alignment with prevailing Confidentiality, Integrity, and Availability (CIA) cybersecurity principles and best practices. View full Bot Security details.

See the Bot in Action

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Setup Process

Install

Download the Bot and follow the instructions to install it in your AAE Control Room.

Configure

Open the Bot to configure your username and other settings the Bot will need (see the Installation Guide or ReadMe for details.)

Run

That's it - now the Bot is ready to get going!

Requirements and Inputs

  • Path: Path of the CSV file.
  • NoOfColumn: Number of Columns in the CSV file.
  • InputColumn: Header of the input columns of the CSV file.
  • InputColumnDataType: Data Types of the input column (Available datatype: Numeric, String, Date).
  • MissingNumberValueReplacement: By which value you have to replace the missing number values.
  • MissingStringValueReplacement: By what string you have to replace the missing string values.
  • IgnoreColumns: header of the Columns which you have to ignore in the model.
  • Header of the Column on which you want to predict.

About Bot Store

Automation Anywhere's Bot Store accelerates your robotic process automation initiatives by offering pre-built automations and plug-and-play integrations, so that complex business processes can be automated in days.

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