Imperva Case Studies IoT Implementation in Property and Casualty Insurance: A Case Study

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	IoT Implementation in Property and Casualty Insurance: A Case Study Imperva

IoT Implementation in Property and Casualty Insurance: A Case Study

Imperva

Use Cases	Inventory Management
Challenge	The organization, a leader in the property and casualty insurance industry, was grappling with the challenge of scaling data discovery across millions of data records. They were also tasked with monitoring hundreds of databases and fulfilling numerous data owner requests every week. The existing manual processes were time-consuming and inefficient, often taking up to four weeks to complete a single data inventory task. The organization was also struggling with managing data owner requests without expanding their staff. Additionally, the audit reporting process was cumbersome and inefficient, leading to a significant amount of time being spent on audit documentation. Read More
About Customer	The customer in this case study is a leading organization in the property and casualty insurance industry. They are responsible for managing a vast amount of data, including millions of data records and hundreds of databases. The organization also has to fulfill numerous data owner requests every week. They were looking for solutions to improve efficiency, manage data owner requests without expanding their staff, and improve their audit reporting process. They also wanted to gain better visibility into personal data for effective risk management. Read More
Solution	The organization turned to IoT and automation to address these challenges. They implemented an automated discovery tool that drastically reduced the time taken for data inventory tasks. What previously took four weeks was now completed in just two days. This not only improved efficiency but also freed up resources for other critical tasks. To manage data owner requests more effectively, they implemented an efficient process that eliminated the need for hiring new staff. This was a significant cost-saving measure for the organization. They also improved their audit reporting by automating the process. This led to a 70% reduction in audit documentation time, further enhancing efficiency. Lastly, they implemented a centralized platform for better risk management. This platform provided visibility into personal data, enabling the organization to manage risks more effectively. Read More Log in to view content
Contents

Use Cases

Inventory Management

Challenge

The organization, a leader in the property and casualty insurance industry, was grappling with the challenge of scaling data discovery across millions of data records. They were also tasked with monitoring hundreds of databases and fulfilling numerous data owner requests every week. The existing manual processes were time-consuming and inefficient, often taking up to four weeks to complete a single data inventory task. The organization was also struggling with managing data owner requests without expanding their staff. Additionally, the audit reporting process was cumbersome and inefficient, leading to a significant amount of time being spent on audit documentation.

About Customer

The customer in this case study is a leading organization in the property and casualty insurance industry. They are responsible for managing a vast amount of data, including millions of data records and hundreds of databases. The organization also has to fulfill numerous data owner requests every week. They were looking for solutions to improve efficiency, manage data owner requests without expanding their staff, and improve their audit reporting process. They also wanted to gain better visibility into personal data for effective risk management.

Solution

The organization turned to IoT and automation to address these challenges. They implemented an automated discovery tool that drastically reduced the time taken for data inventory tasks. What previously took four weeks was now completed in just two days. This not only improved efficiency but also freed up resources for other critical tasks. To manage data owner requests more effectively, they implemented an efficient process that eliminated the need for hiring new staff. This was a significant cost-saving measure for the organization. They also improved their audit reporting by automating the process. This led to a 70% reduction in audit documentation time, further enhancing efficiency. Lastly, they implemented a centralized platform for better risk management. This platform provided visibility into personal data, enabling the organization to manage risks more effectively.

Impact #1	The implementation of IoT and automation solutions brought about significant operational improvements for the organization. The automated discovery tool not only improved efficiency but also freed up resources for other critical tasks. The new process for managing data owner requests eliminated the need for hiring new staff, leading to cost savings. The automated audit reporting process reduced the time spent on audit documentation, allowing the organization to focus more on strategic tasks. The centralized platform for risk management provided visibility into personal data, enabling the organization to manage risks more effectively. Overall, the organization was able to streamline its operations, improve efficiency, and manage risks better.

Impact #1

The implementation of IoT and automation solutions brought about significant operational improvements for the organization. The automated discovery tool not only improved efficiency but also freed up resources for other critical tasks. The new process for managing data owner requests eliminated the need for hiring new staff, leading to cost savings. The automated audit reporting process reduced the time spent on audit documentation, allowing the organization to focus more on strategic tasks. The centralized platform for risk management provided visibility into personal data, enabling the organization to manage risks more effectively. Overall, the organization was able to streamline its operations, improve efficiency, and manage risks better.

Benefit #1	Reduced time for data inventory tasks from 4 weeks to 2 days
Benefit #2	Managed data owner requests without hiring new staff, leading to significant cost savings
Benefit #3	Reduced audit documentation time by 70%

Benefit #1

Reduced time for data inventory tasks from 4 weeks to 2 days

Benefit #2

Managed data owner requests without hiring new staff, leading to significant cost savings

Benefit #3

Reduced audit documentation time by 70%

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Overview

IoT Implementation in Property and Casualty Insurance: A Case Study

Operational Impact

Quantitative Benefit