Testing the Bounds of Data Governance: The 2012 IOUG Test, Development and Quality Assurance (QA) Study

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    Thanks to relentless global competition and an unforgiving economy, organizations have been under non-stop pressure to deliver products and services. For many the lifeblood of finding new opportunities has been to mine the data assets being gathered from all corners of their enterprise and beyond—transactions, customer data, employee input, and information about market conditions.

    However, in the rush to deliver results, many IT and development departments take shortcuts within the testing process, taking live data right out of production environments to run through testing, development and quality assurance(QA) processes. Employing production data is considered the most expedient way to test new and updated applications.But creating copies of this data exposes organizations to new—and avoidable—security risks. In addition, resources are being stretched, in the interest of doing things better faster and cheaper. Add exploding volumes of enterprise data, and this scenario creates gaps in terms of exposure and money to organizations.

    In a new survey of IT and data executives, respondents report their organizations are behind the curve when it comes to managing the risks that could come from exposing live data to less secure settings—including development departments and outside contractors. This is an Achilles’ heel that is being overlooked in data security efforts.


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