WHITE PAPER:
This paper reviews the main issues facing today's banks, as well as an approach to designing, implementing, managing and maintaining an effective data governance support structure - all while helping banks maintain compliance to government regulations.
WHITE PAPER:
The goal of this white paper is to discuss the role of caching, describe in detail how object caching and byte caching works, and show how these caching technologies work together to deliver true performance differentiation.
WHITE PAPER:
Learn about a software platform that helps companies derive more value from the complex, heterogeneous information spread across systems. Learn how to integrate disparate data and deliver trusted information wherever and whenever.
WHITE PAPER:
Learn 10 tips for effective lead management that will enable you to create more educated buyers, help you better understand their needs and ultimately increase revenue.
WHITE PAPER:
To better understand the perspectives and concerns of today's CROs, the IBM Institute for Business Value interviewed banking risk management executives in depth and cosponsored a wider, cross-industry survey conducted by the Economist Intelligence Unit.
WHITE PAPER:
This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
WHITE PAPER:
Shop Floor Execution (SFX) automates and streamlines factory operations by combining three popular applications: Labor Management, Machine Utilization and Paperless Dispatching. This provides the essential tools for real-time production process management
WHITE PAPER:
The cost and complexity of managing increasing volumes of data and content, combined with the need to provide trusted information to every user for every transaction, is driving CIOs to rethink their approach to information delivery.
WHITE PAPER:
This white paper for the communications sector examines how inaccurate data can impact customer relationships and how implementing a multi-phase process can help feed cleaner customer data into enterprise solutions to maximize return on investment.