In this brief white paper, Jeff Martin, Station Casinos’ director of business intelligence (BI), provides specific examples of the types of problems that the company wanted to solve, and offers insight into the specific job scheduling solution it selected to overcome its challenges. 

The customers in this compilation all share one common story: They turned to EMC solutions to address the backup and recovery challenges they faced while implementing a virtualised server environment. 

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

<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> 

<p>Read this expert content to learn about a four step process to reducing test costs. Learn how to be financially savvy about your testing without cutting valuable employees and managers that enhance your quality assurance processes.</p> 

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

This white paper describes a general approach for planning your organization's efforts to improve data quality, providing a data-example-driven perspective of some of the unique challenges of product data quality, as well as discuss and demonstrate three critical steps to improving product data quality. 

No matter the size of your business, data quality is an absolute requirement for success. Learn the seven steps you need to develop a plan for data quality - one that scales to your growing business needs. 

Forrester Research has witnessed a significant increase in organizations' adoption and interest in embedding data quality best practices, methodologies, and technologies into enterprise data management strategies and architectures. Read this whitepaper to learn more. 

In this webcast, William McKnight reveals how contact data quality can impact your business and shares practical insights for measuring, improving, and maintaining enterprise-wide data quality efforts. 

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. 

As As companies implement SOA and extend their mainframes applications as web services, it is important that all applications be maintained and enhanced appropriately.