Global Sourcing, SAS Articles

Enterprise Performance Management, an SAS White Paper (26KB)

This paper outlines the key strategies of Enterprise Performance Management (EPM), a more efficient and dynamic business model that combines strategic frameworks such as Balanced Scorecard with intelligent, enterprise-wide software systems to create an environment that supports and provides for proactive behavior, automation, leveraging of customer and supplier relationships, and most importantly, a unified strategic vision.

Collaborative Value Management, an SAS White Paper (160KB)

This paper highlights the historical elements and present conditions that make value chains so valuable in today’s environment. You will learn about the need for a value chain focus, how to find a legitimate value chain solution and what components that solution must have to bring the most value to a company.

Successful Customer Relationship Management, an SAS White Paper (132KB)

This white paper offers a business case for CRM investments and provides a close look at the importance of data warehousing and metadata management on the effectiveness of those investments. The paper also outlines the differences between enterprise resource planning (ERP) and decision support systems, providing a concise explanation of the relationship between all the different components of successful CRM.

Data Mining: Quality in Manufacturing Data, an SAS White Paper (254KB)

This best practices paper discusses quality-related aspects of the enterprise and explains some ways in which information technology can help solve quality problems in manufacturing data. The paper describes the role of data mining in ensuring enterprise quality and includes two in-depth case studies as well as a list of recommended reading.

The Quality Data Warehouse, an SAS White Paper (510KB)

This paper discusses some of the emerging business problems in quality improvement, how the field has evolved, and how using a Quality Data Warehouse can facilitate quality improvement. It also includes an outline of the type of information that is delivered with a data warehouse, how that information is delivered, and steps for building a Quality Data Warehouse.

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