This expert e-guide features insight from quality assurance expert Lisa Crispin on the risks and benefits of outsourcing performance testing. Crispin also offers tips on different performance testing measures and discusses performance testing specialists within agile software development. 

Read this white paper to learn how a continuous quality assurance provides organizations with a comprehensive  approach to delivering technical and business quality. 

<p>Read this expert guide to learn four best practices to increase your software testing quality and accuracy while decreasing your overall costs. Also, use this as a guide to inform your managers about how to best manage software testing processes.</p> 

<p>Access this e-guide to get advice on data quality concerns in the era of big data. With two conflicting ideologies on the best data strategies, it’s hard to know which best suits your enterprise. Discover how to begin a formal, and successful, data governance program and which of the data quality philosophies best fits your organization.</p> 

Contact Zone is open-source extract, transform and load (ETL), and data quality software. Easily build and manage data transformations to cleanse, update, standardize and enrich contact information, helping reduce costs, improve communications and easily integrate enterprise data. 

This brief fact sheet explains the "Do's and Don'ts" of data quality initiatives. 

Watch this final part of a four-part series on approaches to hybrid clouds to learn about maintaining quality from leading companies that rapidly incorporating private and public cloud applications into their legacy application portfolios. 

The Miami Herald Media Company used the DataFlux data quality and data integration platform to improve and enhance the data that drives its Database Marketing division. 

<p>This e-guide features editorial articles with insight from IT industry consultants and technology professionals on the importance of data quality as well as advice for ensuring a successful program.</p> 

Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative. 

Learn about the importance of having a data quality strategy and setting the overall goals. The six factors of data are also explained in detail and how to tie it together for implementation. 

Improving data quality is a timeless strategy that can provide value on its own, or can be done as a first step towards something else, such as master data management (MDM). It can also be done in conjuction with MDM. This white paper explores three use cases of improving data quality. 

When a mission-critical application fails, the loss of business revenue is large and swift. Poor application quality causes highly-visible major outages; it also causes ongoing lapses in business performance thatare less visible, but steadily add up to substantial revenue loss.