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 TitleDate AddedCompany
whitepaper Putting Quality Process in Place to Exploit Technology2007-01-23 01:00:26 SAS Institute
  Part of the increased interest in data and information quality in business is because of the growing role of data quality technology used to address faulty or nonquality data. Through this software, businesses can indeed build better data sources, which can then drive enterprise applications such as Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP) systems. The promise of applications such as CRM and ERP is to provide access to information from throughout the enterprise. Without good data, that promise will go unfulfilled. This paper will explore the process improvement technologies that are commonly used to address information quality.   
whitepaper Data Quality: Standardize, Validate and Improve your Information Assets20040402000410 DataFlux
  As companies search for more consistent, accurate, and reliable data, they realize that you need to have a solid combination of data quality technology along with quality improvement processes. This white paper, co-authored with Larry English from Information Impact International, provides an overview of the processes and technology that can help you improve the quality of your information assets.   
whitepaper Data Quality Methods20040302121454 Kismet Analytic Corp.
  This paper briefly summarizes a basic strategy for proactive data cleansing. The main intent is to provide information that will be helpful in planning a data cleanup project. To that end, suggestions are provided in a "cookbook" format. It must be understood that each project will be unique, and the specifics of each plan will vary.   
whitepaper Enterprise Data Management Maturity Model2007-01-23 01:00:26 SAS Institute
  Data management establishes and deploys the roles, responsibilities, policies and procedures pertaining to the acquisition, maintenance, dissemination and disposition of data. To succeed, a data management program requires a partnership between the business and technology groups. Given the broad focus of data management, an effective program relies on a combination of people, process and technology. This paper explores the major issues of building better data and how to utilize these three elements to achieve more effective data management policies. More specifically, this paper defines an organization's data management maturity based on the processes that are practiced and the value that an organization places on data management.   
whitepaper ETLQ From SAS Institute2005-12-07 01:01:55
  SAS ETLQ (which SAS describes as "ETL to the power of Q") provides data analysis and profiling, data cleansing, and ETL (extract, transform and load) capabilities based on a shared metadata repository. In practice, SAS ETLQ combines the ETL offering that SAS used to provide within what was the Warehouse Administrator product (which is why the company is not well known as an ETL vendor), together with the data quality software that is provided by its DataFlux subsidiary. The latter has added data profiling and analysis capability in its most recent release, which is why it can now be regarded as a true data quality provider rather than just as a data cleansing vendor. All of this capability is embedded with SAS ETLQ.   
whitepaper CRM Success: Data Makes the Difference2006-07-18 03:00:52 Investcorp
  CRM initiatives quite often fail to meet expectations, sometimes because of organizational issues, sometimes because of outdated business processes or sometimes because of the CRM application itself. One of the thorniest problems is the quality of the data underlying the initiative. Fixing data problems can go a long way toward recouping the CRM investment and saving the customer relationships. This paper explains 10 ways to shore up the data and make one the kind of CRM statistic one wants to be: the hero who made CRM pay off quickly.   
whitepaper Architecting for Medical Imaging and Diagnostic Equipment2005-06-30 15:51:50
  This industry-specific white paper from APC provides important guidance for determining the power and cooling needs of an IT infrastructure that will support Medical Imaging and Diagnostic Equipment (MIDE). Download the paper to learn what hospital technology planners must consider when determining the infrastructure needs of today’s leading healthcare technologies, including Picture Archiving and Communications Systems (PACS), Radiology Information Systems (RIS), and Hospital Information Systems (HIS).