In this case study learn how BT stays ahead of the game using powerful dynamic “what-if” analysis that enables them to perform fast, clear and dynamic re-pricing and analysis in the fiercely competitive telecommunications sector.

This whitepaper looks at how the virtual data warehouse appliance dispenses with the need for proprietary hardware and combines the price/performance of Intel-based processors, industry standard, open source software and low-cost disk storage in a single cabinet.

If Gordon Moore’s law of performance improvement and cost reduction applies to processing power, why hasn’t it worked for data warehousing?

The challenged faced by organisations with complex data to implement Business Intelligence solutions is that traditional databases do not have the performance or scalability required. This white paper looks at a high performance, analytical database that serves as a robust data warehouse platform.

Thinking about an investment into a data warehouse appliance? This white paper will reveal the "Seven Things You Should Know about Data Warehouse Appliances That Other Vendors Are Afraid to Tell You"

Within the confines of the enterprise, there are significant opportunities to save money by optimising business processes and focusing decisions. This paper will review the importance of increased analytical performance, data management improvements and reduced cycle times.

In this white paper, discover how on-demand data warehousing allows you to undertake large-scale data analytics as and when you need it and at the price you can afford.

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.

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

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.