Data Mapping Use Cases

Use Case Problem Statement: Modernizing Data Management in Renowned Insurance Company

Scenario

Company Background: A renowned insurance company, known for its customer-centric services and comprehensive insurance plans, has been operating for several decades. Over the years, it has accumulated vast amounts of records that need to be efficiently managed and accessed. The company is now embarking on a digital transformation journey to enhance its data management capabilities.

Objectives

The primary objective is to migrate the entire records from their existing text-based files into a sophisticated advanced database. This will improve data accessibility, enhance reporting capabilities, and ensure better data security.

Requirements

1. Source Protocol: FTP

   1. The company currently stores all its records in text files, which are accessed and managed through FTP (File Transfer Protocol).

2. Sample Source Data:

   1. Click here

   2. The source data is in a plain text format containing various fields relevant to the insurance records.

3. Source Layout: Text

   1. The records are organized in a text layout, which includes policy numbers, customer details, claims history, and other pertinent information.

4. Target Layout: Advanced Database

   1. The goal is to transform this text-based data into a structured format within an advanced database system that supports complex queries and data analytics.

5. Sample Target Data:

   1. Click here

   2. The target data will be structured in a way that allows for efficient storage, retrieval, and manipulation within the database.

6. Target Protocol: Database

   1. The advanced database will serve as the new repository for all the records, enabling seamless integration with other systems and applications within the company.

7. Mapping Rules: One to One

   1. The migration will follow a one-to-one mapping rule, ensuring that each field in the source text file directly corresponds to a field in the target database.

Use Case Problem Statement: Data Cleansing and Transformation for Insurance Company

Scenario

Company Background: A renowned insurance company, committed to enhancing data quality and operational efficiency, has accumulated extensive customer records over the years. The company aims to clean and transform these records to ensure accuracy and relevance for better decision-making.

Objectives

The primary objective is to clean and transform the existing Excel-based customer records into a CSV format. This process involves removing duplicates, filtering data based on specific criteria, and merging relevant fields.

Requirements

1. Source Protocol: Excel

2. The company currently maintains its customer records in Excel files, which include various details such as customer names, addresses, and cities.

3. Sample Source Data:

• Click here to get the sample data

• The source data includes multiple fields, some of which may contain duplicate records.

2. Source Layout:

3. The Excel file contains columns such as:

   • CustomerID

   • Name

   • City

   • Address

   • PolicyNumber

4. Conditions to Apply:

5. Target Layout: CSV

6. The transformed data will be saved in a CSV format for easy integration with other systems and applications.