{"id":15317,"date":"2021-04-05T23:19:33","date_gmt":"2021-04-05T17:49:33","guid":{"rendered":"https:\/\/coforge.site\/cigniti\/blog\/?p=15317"},"modified":"2021-04-05T23:33:44","modified_gmt":"2021-04-05T18:03:44","slug":"business-value-test-data-management","status":"publish","type":"post","link":"https:\/\/coforge.site\/cigniti\/blog\/business-value-test-data-management\/","title":{"rendered":"Increasing Business Value with Effective Test Data Management"},"content":{"rendered":"

While digitalization is driving the business world today, technologies like Mobile First and IoT have gained momentum and enterprises are getting influenced to enter the world <\/span>of<\/span> mobility, thereby opening endless opportunities.<\/span><\/p>\n

The flow of data and information is limitless with the surge in adoption of digital trends and technology advancement. <\/span>Effectively using and managing information is critical to <\/span>streamlining operations<\/span>, <\/span>attracting<\/span> &<\/span> retaining customers<\/span>, and pursuing new business opportunities. <\/span><\/p>\n

However, these needs increase demands on underlying IT infrastructure and database systems that are often not up to the task<\/span> and <\/span>create an array of workload challenges<\/span>.<\/span><\/p>\n

The Role of Test Data Management <\/strong><\/h4>\n

As enterprises look to deliver high-quality applications at the lowest possible cost, they need to build out a more agile application infrastructure, and that includes a robust and comprehensive test data management strategy<\/a>.<\/span><\/p>\n

According to a report published on <\/span>Markets and Markets<\/span><\/i><\/b>, \u201c<\/span>The test data management market is expected to grow from USD 584.6 Million in 2017 to USD 1,060.9 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 12.7%<\/span><\/i><\/b>.<\/span>\u201d<\/span><\/p>\n

The factors driving the <\/span>t<\/span>est <\/span>d<\/span>ata <\/span>m<\/span>anagement include <\/span>increased quality of test conditions and growing need for leveraging data integration tools, optimized storage and processing costs, better technical support to black-box testing teams<\/span>.<\/span><\/p>\n

The increased adoption of <\/span>test data management<\/span> solutions and services by several industry verticals, such as, IT, Telecom, BFSI, healthcare and life sciences, government, and retail have boosted the <\/span>need for<\/span> test data management.<\/span><\/p>\n

T<\/span>est Data Management plays a key role in ensuring quality roll out of applications at the right time. As a service\/practice, it has matured in most organizations. The predominant activities include sub-setting, masking, data refresh and synthetic creation standardized through Test Data Management, Extract Transform Load (ETL) or Database (DB) tools.<\/span><\/p>\n

In the prevalent agile environment, it is imperative to strategize the test data management efforts.<\/span><\/p>\n

Test Data Management practices in an Agile environment that improve business value <\/strong><\/h4>\n

While there are frequent sprints in an agile methodology, the need for an appropriate test data is high and managing this test data yields better results. <\/span><\/p>\n

The best practices to be followed for handling test data management in an agile environment include \u2013 <\/span><\/p>\n