Test data management for insurance agencies

How can Grid-Tools help provision test and development data for insurance agencies?

"It is a great benefit to know that the data we have in our test environments is very much like the data we have in production. Before using the tools, the bugs we found in test environments were usually a direct result of the quality of the data we were using. It is good to know that the data model we put into the tool is correct and we can now rely heavily on this data."

Jochen Westheide, The ARAG Group

For insurance companies, profitability relies on quick and continuous access to large amounts of customer data. However, this data is often held in various disparate places and needs to be available to numerous people, including third-party brokers. As much of this data is highly sensitive, meeting the demands of the market along with ensuring regulatory compliance can prove problematic. This had led many companies to look for a sophisticated solution that can achieve both of these goals. Grid-Tools has considerable experience working within the financial and insurance sectors to help organisations achieve compliance and greater efficiency in their data management. Using a range of niche, unique solutions, Grid-Tools can help your insurance company deliver:

  • Full compliance with current industry standards and regulations
  • High quality, rich, re-usable test data
  • Efficient and easy-to-use test data management solutions and software
  • Testing and development strategies for increased short-term and long-term efficiency

Creating usable and compliant test data for the insurance sector

Whether looking to integrate data systems or achieve greater compliance, provisioning high-quality, usable test data is central to your development project. Current regulations mean that using ‘live’ data in a non-production environment is no longer acceptable. The need to comply with these standards means that it is time to re-evaluate the way in which we provision test data for non-production.

In the past, data masking has been seen as a way of adequately de-identifying production data for testing. However, this is now an insufficient method for the insurance sector; databases contain too much personal and commercially sensitive data in their databases. Masking this data in a non-production environment is not only inefficient but also likely to compromise relational integrity, rendering it useless for good testing. So, how then, do we provision useful and compliant test data? The answer is synthetic data creation! Grid-Tools offer a range of sophisticated, flexible solutions, including the award-winning Datamaker™, which can create data that models the referential and relational integrity of production environments from scratch! For more on how your organisation should be using synthetic data creation for full compliance in development projects, follow the link.

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