Why Is It Difficult To Execute Test Data Management In Insurance Testing?Why Is It Difficult To Execute Test Data Management In Insurance Testing?

The insurance sector is facing challenges in the form of growing system complexities, competition, the advent of new skills and tool sets, and emerging security threats. The industry is shifting focus from its previously held ‘business as usual’ model to transforming its legacy applications and systems. The transformation includes refining the business processes to improving the customer experiences and streamlining the distribution channels. Like other sectors, insurance too is embracing the development of software applications in a big way. While doing so, the sector is adopting Agile development methodologies and cloud-based solutions.

However, notwithstanding the above-mentioned challenges, the insurance sector is finding itself hamstrung when it concerns test data management. This is because data remains sensitive and interdependent, not to speak of displaying high redundancy. Also, since insurance companies are aiming to drive user adoption of applications, they need to implement rigorous insurance application testing. The comprehensive testing shall cover segments such as life and casualty, health, and property.

Why test data management is a challenge?

The sensitive nature of data maintained by the insurance industry needs to be protected from emerging cyber security threats. However, maintaining the integrity of such data can encompass a host of challenges for the insurance industry.

# Growing complexity of services: The insurance industry is highly diverse with a slew of products catering to segments like life, health, and property. Each of the products cutting across segments and transactions like claims, policy renewal, and contract management, etc. have their unique workflows. Any insurance app containing scores of data and catering to these complex business scenarios would need to be validated through insurance app testing. To ensure the workflows operate optimally and meet their desired objectives, they should be tested against expected outcomes. These combine to make test data management a tedious and risk-prone exercise.

# Need to maintain continuous delivery: In the Agile and DevOps driven Software Development Life Cycle, insurance applications need to be developed, tested, and delivered on time, and within budget. Furthermore, since applications deliver value to the end customers 24x7, they need to be kept updated at all times. So, while testing applications, should there be any provisioning of poor-quality data, the same can lead to erroneous results.

# Compliance with regulations: The insurance sector is governed by several regulations, which are updated from time to time. This entails the applications to incorporate such regulatory changes as and when they come into force in the form of new releases. These releases need to be validated through insurance software testing making data management an arduous exercise. Also, the data given for insurance app testing should be adequately masked to prevent any leak. For should the regulations are not adhered to by the applications, there can be adverse consequences like data breach, regulatory censure, penalties, the lowering of brand visibility, and revenue loss.

# Security breaches: The menace of cyber crime is growing by the day and the insurance sector is not immune to it. The applications should be robust enough to meet the threats and safeguard data. Since the insurance sector is getting competitive and customers increasingly cognizant of the security aspect, the applications should be validated for security. Thus, the testing for insurance applications is imperative to generate confidence among stakeholders and prevent threats of data breaches.

# Faster product release: The competitive nature of the insurance industry entails the release of numerous products in a short time frame. Since each product deals with a large quantum of data, ensuring their integrity becomes a big issue. The quick release of insurance products presents very little window for developers as well as testers to validate the codes, ensure their integration, and remove glitches. The hurried approach does not leave much time for testers to set up crucial test infrastructure and identify data.

# Application complexity: The varied nature of insurance products and their objectives are often lost on the developers. The lack of knowledge among developers about the scope of such products and their objectives can work as a detriment to set up the much-needed environment to test data.

# Need to employ automation and standardization:  The diverse nature of the insurance industry makes it difficult to employ technologies such as automation and data mining. Furthermore, the data is often unstructured and non-standardized leaving little leeway for the testers to execute comprehensive testing.

Conclusion

The fast-growing insurance industry requires customer-friendly instruments like mobile or web applications to bring in convenience, user-friendliness, security, and better outcomes. To ensure the same, a robust test data management exercise should be undertaken by employing cutting-edge technologies.

by Diya Jones
References and Bibliography

Diya works for Cigniti Technologies, Global Leaders in Independent Quality Engineering & Software Testing Services. Visit Cigniti site to know more about Insurance Software Testing.

Rated:NR/0 Votes
2 Views
Add To My Article Reading List
Add To My Article Reading List
Print Article
Print
More Article By Diya Jones
More Article by Diya Jones
Share
More Articles From Software
More Articles From Software
Related Articles and Readings
How does facial recognition technology prevent retail theft? By: Diya Jones
Facial recognition technology is a popular and emerging technology that can help retailers to prevent theft. It can also boost store sales by offering valuable data. ...
Making The Decision To Automate Your Software Testing By: Danna Henderson
Not every software testing project can or should be automated. Before your department accepts a new test automation project, you should establish a process by which projects are reviewed and either accepted or rejected. This can be done with a simple Test Automation Acceptance Checklist.Repeatable Test Cases with Static DataThe ...
How Big Data Testing helps businesses succeed. By: Diya Jones
Big data analytics is about analyzing vast amounts of data and gain insights into a business by looking at identical patterns, hidden information, and correlations. Through big data testing, businesses can generate solutions that are smart and agile. ...
Challenges of SOA Testing By: Jason English
Why is SOA testing such a different beast than previous forms of browser, client/server and mainframe testing? Many of the benefits of SOA become challenges to testing an SOA application.1. SOA is distributed by definitionServices are based on heterogeneous technologies. No longer can we expect to test an application that ...
What are Top 5 Tools to be used for Application Security Testing By: Michael Wade
The growing cyber security threats have necessitated the use of application security testing. The various testing tools are crucial to validate the applications. ...
The information provided in this article and/or the comments is the sole responsibility of their respective authors and does not necessarily reflect the opinion of ezinepost.com. ezinepost.com  does not endorse any article and/or comments published by our web users unless otherwise noted. 

Member Panel

login to submit articles and more

StatisticsEZINEPOST.COM

  • » Active Categories: 419
  • » Active Articles:252603
  • » Active Authors:31917
  • » Active Members: 38237
  • » Statistics Updated:
    - Tue Sep 1st, 2020 09:28AM EST