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 TitleDate AddedCompany
whitepaper Technology and Policy in Decision Support Systems1998-01-30 Thomson
  Data warehousing, data marting, online analytical processing (OLAP) -- these terms dominate discussions of enterprise decision support systems (DSS). At the same time, it is becoming increasingly clear that none of these product categories has a particularly stellar track record for improving the quality or quantity of commercial decisions. This is so because none of the technological answers to the commercial decision-making problem focuses on decision-making processes themselves--on the entirety of the decision-making problem -- which are as much matters of policy as they are of technology. This white paper discusses the evolution of the data warehousing marketplace from data infrastructure to enterprise decision support systems, focusing on the decision-making process as the design center for effective DSS environments.   
whitepaper Clinical Reminder System: A Relational Database Application for Evidence-Based Medicine Practice2006-09-08 01:00:28 Carnegie Mellon University
  Evidence-based medicine is the distillation of a large volume of medical research and standards into treatment protocols for diseases and preventive care procedures that represent the most accurate knowledge available. In the project discussed in this paper, the authors implement evidence-based medicine principles via a decision support system that provides suggested actions for physicians based on individual patient characteristics and established treatment protocols. The paper presents a prototype DSS, called Clinical Reminder System, that combines a relational database, a knowledge base consisting of algorithms that implement disease treatment protocols, integration with hospital legacy systems and a web-based interface allowing for physician management of patient data and suggested medical responses.   
whitepaper Decision Analysis: Concepts, Tools and Promise2005-08-30 03:00:03 Fair Isaac
  At Fair Isaac, some powerful and unique decision analytic tools have been developed in recent years. These tools add significant value to clients who use our products and services to optimize their strategies. While traditionally the emphasis at Fair Isaac had been on sophisticated prediction technologies, it has shifted in recent years to developing and using a powerful, synergetic coupling of these time-proven tools with state-of-the-art decision modeling and techniques. The combination of decision analytic expertise, models, and tools with existing prediction and exploratory analysis techniques, promises substantial added value to clients.   
whitepaper mySAP CRM Unifies Customer Tracking and Sales Pipelines After Communications-Equipment Leader Makes Multiple Acquisitions2006-04-04 05:09:24 SAP
  As a leading supplier of communications equipment, services, and systems, it is not that unusual for a global company like Andrew Corporation, headquartered in Westchester, Ill., to have its communications challenges. Following eight recent acquisitions, those challenges mounted with each added company. Andrew, which employs 11,000 people worldwide and generates annual revenues of $1.84 billion, found itself with disparate customer-tracking systems that were unable to communicate and lacking a global purview of the sales pipeline. Ultimately, the company came to the conclusion that what they needed was a global Customer Relationship Management (CRM) solution from SAP.   
whitepaper Outsourcing Giant Builds Smarter, More Agile Supply Chain With SAP R/32005-06-23 03:00:01
  Sodexho, the largest provider of catering and support services in the UK and Ireland, is using SAP R/3 to standardize, streamline and enhance its operations. Working with Fast Track Consulting and HP, Sodexho recently moved its SAP R/3 installation from an IBM S/390 mainframe and IBM DB2 database to a clustered HP-UX 11i configuration of HP servers equipped with an Oracle9i database. While greatly improving both transaction processing and decision support, transfer of SAP R/3 to the HP-UX 11i environment delivers a fivefold reduction in total cost of ownership over the mainframe, saving Sodexho more than £300,000 (US$585,000) per year.   
whitepaper IBM Case Study: Hennepin County2006-03-23 05:25:47
  Hennepin is an urban county with a population of over 1.1 million people in 46 municipalities. Initially, Hennepin County approached IBM with a requirement to reduce their software costs in March 2002. The IBM Software Migration Project Office (SMPO) responded with a product mapping of the Hennepin County's ISV software tools to IBM tools and financial estimates for the migration effort. The SMPO team and the Hennepin IS team focused on the following migrations from Computer Associates (CA): CA/7 to Tivoli Workload Scheduler, CA/MICS to Tivoli Decision Support /390 and Accounting Workstation Option, CA/OPS/MVS to Systems Automation /390, CA/ACF2 to RACF, and CA/Insight DB2 to DB2 Performance Monitor.   
whitepaper Exact Business Analytics: Putting Power, Functionality and ROI in the Hands of Business Managers2006-09-20 12:24:02 Exact Software
  Check out Exact Software's schedule of 60 minute e-Seminars that present the many benefits that Exact Business Analytics (EBA) provides, share customer successes, discuss the quick ROI, and cover technology aspects--including a live product demonstration.   
whitepaper EU Project: Data Mining and Decision Support for Business Competitiveness - A European Virtual Enterprise (Sol-Eu-Net)2006-04-25 04:35:05 Jozef Stefan Institute
  This paper defines the mission of this European project to spread the use of technologies of Data Mining (DM) and Decision Support (DS) to enhance efficiency, effectiveness and quality of operations in business, industry and public services. The virtual enterprise model is proposed as the dynamic problem-solving link between experienced Data Mining and Decision Support experts on the one hand, and customers in need of specific solutions on the other.   
whitepaper A Methodology Targeted at the Insertion of Data Warehouse Technology in Corporations2006-04-27 06:59:22 Pontifícia Universidade Catolica do Rio Grande do Sul
  A particular interest has been observed in the Data Warehouse (DW) technology by corporations aiming to improve their decision processes. A large number of corporations that have no tradition on the use of computer systems for decision support, has to rely on a team qualified in the development of traditional operational systems and database technology, but inexperienced on DW development issues. The paper presents a methodology targeted at the development of DW pilot projects, which aims at the smooth adoption of DW technology by corporations. The methodology has been successfully tested in a military DW pilot project, and the results obtained so far confirm its adequacy and consistency towards the established goals.