Read this white paper to learn how to make the most of your IT investments by transforming your existing applications. 

In August 2011, Forrester Consulting surveyed over 200 leading IT firms in North America and Europe to answer the question, “What are the implications of expanding testing in development, and what does it mean to development quality?”. 

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. 

This Technical White Paper presents the main challenges of data quality and drills into specific uses of data profiling and data cleansing. It highlights, through 32 distinct use cases, how open source data quality technology can be used to alleviate issues related to poor-quality data. 

From improvements to project planning and requirements management to testing, QA and reporting, read this white paper to find out what's new in version 11.0 of HP's Application Lifecycle Management (ALM) and Quality Center Enterprise applications. 

The Pillar Axiom 600 system delivers business-critical, deterministic Quality of Service consistent with the business value of the application and its data. It eliminates the requirement to overbuy and under-utilize storage to buffer against application interference in a multi-tenancy shared storage system. Read this white paper to learn more. 

Join this webcast to learn how application lifecycle management (ALM) solutions that connect ALM with build management and source code change management systems can increase quality and accelerate time to market by introducing advanced intelligence and insight capabilities to development and testing. 

QoS can be used in converged networks to provide voice packets priority access to resources, or it can be used to differentiate data packets from different application stream and provide access to resources according to policy. 

Organizations are often turning to Master Data Management as a key enabler in improving the timeliness, quality and reliability of BI with the ultimate goal of improving business performance. This survey report presents recommendations on the "do and don't" of MDM as well as some findings on the use of open source and manual coding in MDM projects. 

Offline testing models are becoming obsolete and meaningful metrics can only come from real-world, production environments. Organizations once solely dependent on synthetic tests are challenged to respond to this change. In this video segment, learn how to plan and deploy applications and services on time and on budget. 

New application technologies, such as composite application architectures, cloud computing, and mobile platforms, and new software development methodologies, such as agile, make functional testing more challenging for the quality assurance (QA) organization. Read this paper to learn how to address the challenges of these new IT initiatives.