In every business, the risk of valuable data loss is intolerable at any level. Imagine the CEOs laptop is stolen in an airport, or a homeuser contracts a virus. How long before they are back up and running, exactly as they were before? Can the operation be performed remotely? What is the opportunity cost of reacting to this sudden challenge, in man hours and downtime?

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.

Read this Data Warehousing Institute report to see why data governance is strongly recommended to improve data quality at the enterprise level.

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.

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.

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