How can your organization achieve the goal of easily creating and delivering “the right information to the right person at the right time?” Read this white paper which breaks down the answer to this question in two parts.

Data warehousing was once a siloed activity dedicated to business intelligence and reporting at a departmental or business unit level. This white paper redefines Enterprise Data Warehousing (EDW), harnessing enterprise data to ensure competitive advantages and operational excellence.

This white paper discusses the relationship between master data management (MDM) and data integration. The different ways MDM may be implemented, the role that data integration has to play and expand on why we believe that data integration should be regarded as a separate set of technologies.

This white paper summarises an approach to developing a successful business case for investing in data quality improvement.

This paper outlines the importance of data quality in today’s business environment. It describes how an organization should tackle a data quality improvement process and details the data quality software solutions that fit into that process.

Companies need to pick a strategy for measuring data quality, cleansing data on an ongoing basis, and possibly enhancing it with outside information to meet their business objectives. Read this paper to learn more.

Businesses today are dealing with the question of how to transform their IT systems into a SOA. How do they scale from low cost pilots into a larger business unit wide or even an enterprise wide SOA initiative?

This paper is designed to provide practitioners responsible for all aspects of the security of their organization’s databases with specific recommendations for improving the security of those databases.

This Data Sheet provides a concise overview on ER/Studio, a model-driven data architecture and database design solution.

More than 60 percent of CEOs feel they need to do a better job of leveraging information. Such a statement produces immediate challenges on better data warehousing strategy, and the need to incorporate this within the existing constraints of IT spend that currently exist.

Data Warehouse users face demanding challenges. Data is growing at an incredible rate and User populations are rising to support new activities such as operational Business Intelligence and self service applications.