The Network Evolution predicted 2011 would be a breakout year for networking. See how far users have come in implementing innovative technology or in making traditional methods work well for them. 

This paper focuses on the smartphone and why it has become the mobile user's preference for accessing mobile networks and the benefits that can be achieved by using them. 

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> 

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. 

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.