WHITE PAPER:
This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
WHITE PAPER:
Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0.
WHITE PAPER:
Businesses are experiencing a growing demand to move high volumes of data both internally and externally. File transfer protocol (FTP) servers are proliferating among individual departments and raising traffic levels with customers and suppliers. This white paper explains and explores the opportunity and benefits of FTP consolidation.
WHITE PAPER:
This brief white paper welcomes you to the future of data management – pre-integrated server, storage, network and database software and tools selected and tuned specifically for the demands of high-availability, high-throughput transactional processing.
WHITE PAPER:
With instant access to information, customers expect a purchase experience that matches the ease and speed of the information-gathering experience. Read this white paper, created in collaboration with Frost & Sullivan, to see how a customer relationship management (CRM) solution can help you respond on the customers' terms.
WHITE PAPER:
In this insightful resource, discover how you can significantly improve business performance and decision-making with an information optimization strategy, and ensure your company makes the most of every last piece of data available.
WHITE PAPER:
Healthcare organizations have not been immune to the impact of big data – but what do these growing data volumes mean for information governance? This resource explores big data integration and governance from the standpoint of three case studies.
WHITE PAPER:
Ensuring your data is secure and trustworthy is paramount to harnessing the power of big data, but it's also a difficult task when you've got such a large volume and variety of information coming into the business. Unfortunately, traditional methods of governing and correcting often aren't applicable to big data -- so what can you do?
