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Designing and Implementing a Data Solution — Insurance Claims Dashboard

Developed with
Calculated Systems

Contents

keyboard_tab
Insurance Claims Dashboard Case Study
1
Introduction
PREVIEW1m 21s
2
Case Study Scenario
PREVIEW4m 21s
3
Planning
3m 55s
Introduction
Overview
Difficulty
Intermediate
Duration
29m
Students
194
Ratings
5/5
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Description

This course takes you through a case study of a real-world scenario in a financial setting. We'll go through how data gets processed, stored, and presented for an insurance dashboard. This dashboard displays all different types of insurance and is powered by an underlying database. So over this course, you'll both see some specifics for the industry vertical of insurance and some specifics on how to process data.

This course is a little less technical than some of our other database-related content, so if you don't have Python or SQL skills, that's fine. This course is really ideal for those who want to learn a little bit more about how all of the pieces go together to understand more of where to dive in deeper.

If you have any feedback relating to this course, please let us know at support@cloudacademy.com.

Learning Objectives

  • Learn how to put together a data processing solution for an insurance company
  • Plan the project
  • Build the front-end interface, the back-end database, and the middleware that connects the two
  • Put the whole dashboard solution together

Intended Audience

  • Data engineers and database administrators
  • Anyone who wants to gain insights into how a data-handling solution is built in a real-world environment.

Prerequisites

To get the most out of this course, you should have some basic experience with databases and building IT solutions.

Transcript

Hello, and welcome to something that's a little bit different. In this class, we'll be going through a case study of some real-world work we've done in the financial space. Basically, instead of teaching about a technology or a methodology, this class is going to be more of like a factory tour where I'll be walking you through the different parts of a process and how we solved a particular problem.

In this case, we'll actually be going through how data gets processed and stored and dashboarded for an insurance dashboard. This dashboard displays all different types of insurance and is powered by an underlying database. So over this course, you'll both see some specifics for the industry vertical of insurance and some specifics on how to process data.

This class is a little less technical than some of the other content we've done at Calculated Systems for Cloud Academy. So if you don't have Python skills or you don't have SQL skills, that's all okay. This class is really ideal for those who wanna learn a little bit more about how all of the pieces go together to understand more of where to dive in deeper.

This case study is based on the real-world experience that Erika on my team has. She is our lead data scientist and has spent years analyzing insurance data. I'm not gonna take too much time away from her, so I'll just let her introduce herself and get started. Thank you.

Lectures

Case Study Scenario - Planning - Building the Database - Front-End Design - Middleware Design - Claims Dashboard: Putting it Together

About the Author
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Calculated Systems
Training Provider
Students
9293
Labs
31
Courses
13
Learning Paths
21

Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity.  With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing  decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.