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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Insurance Policy Data Standardizer

By: Mphasis Latest Version: 1.2

This solution generates a standardized output for input files from various sources containing insurance policy related data.

Product Overview

This solution can ingest insurance policy data from different sources such as external agencies, brokers, or partners having various schemas/ headers and standardizes them to a fixed output format. This can help business reduce the effort in converting these different files to a format suitable for their consumption. It takes in a CSV file and extracts a set of columns, even if the names are different to generate a Master Data format using the various files.

Key Data

Version
By Mphasis
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Input Format

  • The solution takes a CSV file as input.
  • The dates in the file should be of format YYYY-MM-DD.
  • Ensure Content-Type is 'text/csv'.

Input instructions

  • The solution works with csv files only.
  • The date fields should be in YYYY-MM-DD format only

Output interpretation

  • Output file will be a csv that conatins a fixed set of columns from the input csv file.
  • The first name, second name columns would be merged
  • Different address related columns would also be merged.

Resources

Sample Notebook: https://tinyurl.com/y3mnr2ud Sample Input: https://tinyurl.com/y2569b3k Sample Output: https://tinyurl.com/y3bgcnl2

Additional Resources

End User License Agreement

By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA)

Support Information

Insurance Policy Data Standardizer

For any assistance, please reach out to:

https://www2.mphasis.com/AWS-Marketplace-Support-LP.html

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Refund Policy

Currently, we do not support refunds, but you can cancel your subscription to the service at any time.

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