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 TitleDate AddedCompany
whitepaper Unlock the Business Value of Enterprise Data With In-Database Analytics: Achieve Better Business Results Through Faster, More Accurate Decisions2009-07-01 SAS Institute
  Recently most companies have found it difficult to deliver the secure, accurate and near real-time analytical insight required to support fast decisions like these. This paper explains how one can use in-database analytics to not only accelerate time to insight, but also gain greater confidence in both the accuracy of decisions and the security of data.

Tags: Data Infrastructure, Security Administration		   
whitepaper Text Mining for Safety: Develop Your Untapped Reserves of Unstructured Data for Health, Safety and Environmental Improvements2009-07-01 SAS Institute
  To ensure the overall health of the enterprise and its safety and environmental conditions, companies prepare and file detailed incident (and near-incident) reports. Monitoring these events and performing timely analysis leads to effective remediation efforts. Many incident management systems are cumbersome and unavailable at the job site, causing some events to go undocumented. In addition, event details are often not reviewed or captured, which if done could help reduce future occurrences. All of these conditions impede the value and quality of information entered into the system, resulting in additional challenges to maintaining a safe workplace. Proven technology provided by SAS can help one take prompt action by easing the burden of capturing incident data, improving the quality of data, and speeding analysis and management notification.

Tags: Data Tools		   
whitepaper Clarity in Customer Insight at Confused.com2009-07-01 SAS Institute
  With annual group turnover around £900 million, the business also owns Confused.com, launched in 2002 as the first insurance aggregator website. The challenge was to make use of valuable data in a competitive marketplace to gain new customer insights, better target campaigns and improve operational efficiency, enhance cross-selling and increase revenue. Confused.com deployed SAS Analytics including a range of models and customer segmentation.

Tags: Data Tools		   
whitepaper Banco BHD Manages Risk-Performance Relationship Using SAS Business Analytics2009-07-01 SAS Institute
  BHD Bank, a pioneer in multiple banking services in the Dominican Republic, was founded in July 1972 and is still the leader in promoting important historical changes in the financial system. As measured by assets, BHD is the second-largest private bank in the country. The challenge was that BHD needed to learn of its clients' changing credit behaviors in order to emphasize improved services and offer customized products. BHD deployed SAS9 which assisted in recovering increase of 40 percent in client consumption level, credit card approval success rate rise up to 40 percent and ten times faster to process internal data.

Tags: Data Tools		   
whitepaper Fido Uses SAS to Connect With High-Margin Customers and Products2009-07-01 SAS Institute
  In an industry marked by intense competition and rapid expansion, Fido Solutions Inc. has been at the forefront of the development of wireless telecommunications and fast mobile data connectivity in Canada. The challenge was to determine the most profitable customers and products for marketing activities in the competitive telecom market. Fido deployed SAS Enterprise Miner and SAS Activity-Based Management.

Tags: Data Tools		   
whitepaper Get more from BI by understanding your analysis needs2009-07-01 IBM
  Across your organization, different types of users - casual users, power users and executives - access data in order to answer different types of questions and then need to see the information differently.

Only when you deliver on the breadth of analysis needs in your user communities can you truly unleash the power of business intelligence to drive better decisions and results. Read "Get More from BI by Understanding Your Analysis Needs" and you'll have a better idea of how to match the right tools with the right users. This paper clearly discusses:

  • Why analysis is so central to your efforts to make BI pervasive
  • Several different types of analysis, who uses them, and why
  • How IBM Cognos analysis solutions map to the breadth of analysis needs in your organization


Tags: Software Development Tools, Data Tools, Security Administration, Mobile and Wireless		   
whitepaper Open Standards and Cloud Computing KDD-2009 Panel Report2009-07-01 IBM
  A panel on open standards and cloud computing addressed emerging trends for data mining applications in science and industry. This paper summarizes the answers from a distinguished group of thought leaders representing key software vendors in the data mining industry. Supporting open standards and the Predictive Model Markup Language (PMML) in particular, the panel members discuss topics regarding the adoption of prevailing standards, benefits of interoperability for business users, and the practical application of predictive models. The paper concludes with an assessment of emerging technology trends and the impact that cloud computing will have on applications as well as licensing models for the predictive analytics industry.

Tags: IT Infrastructure, 		  
whitepaper Towards Development of Solution for Business Process-Oriented Data Analysis2009-06-17 Riga Technical University
  This paper proposes a modeling methodology for the development of data analysis solution. The Author introduce the approach to address data warehousing issues at the at enterprise level. The methodology covers the process of the requirements eliciting and analysis stage as well as initial design of data warehouse. The paper reviews extended business process model, which satisfy the needs of data warehouse development. The Author considers that the use of business process models is necessary, as it reflects both enterprise information systems and business functions, which are important for data analysis. The Described approach divides development into three steps with different detailed elaboration of models. The Described approach gives possibility to gather requirements and display them to business users in easy manner.

Tags: Data Tools		   
whitepaper Constructive Data Mining: Modeling Australian Inflation2009-06-14 Federal Reserve Board
  This paper improves upon de Brouwer and Ericsson's (1998) model of Australian inflation in three directions: cointegration analysis, treatment of weak exogeneity, and model design. On the third issue, recent developments in computer-automated model selection help obtain a more parsimonious, empirically constant, data-coherent, encompassing error correction model for inflation in Australia. The level of consumer prices is a mark-up over domestic and import costs, with adjustments for dynamics and relative aggregate demand.   
whitepaper JD Edwards Reporting and Analysis: Must-Have Multidimensional and Relational Analysis Functionality2009-06-08 Cetova
  The goal of this whitepaper is to assist the non-technical JD Edwards (JDE) end-user in more effectively executing the Search and Selection process for a Reporting and Analysis solution. The author suggests that it would be helpful for one to first read other previous whitepaper, "Helping Non-Technical JDE End-Users Choose the Proper Reporting Tool," to better understand the types of tools available.

Tags: Data Tools