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 TitleDate AddedCompany
whitepaper The Concept of Data Resource Data2006-08-30 01:00:13 SAS Institute
  The new concept of data resource data will help organizations better understand and manage their data resource to meet the current and future business information demand. It will help organizations gain control of their disparate data resource and develop a comparate data resource that supports the business intelligence value chain. It will help organizations be fully successful in meeting their business goals and avoid the situation of information depravation. The quicker an organization starts formally developing and managing its data resource data, the quicker it will have high-quality information available to the human resource to support its business goals, and the quicker it will become an i-organization.   
whitepaper Defining Enterprise-Wide User Query and Reporting Requirements2006-08-30 01:00:13 SAS Institute
  Business Intelligence (BI) applications have inherently changed users' roles in technology by providing them with the ability to access information previously held and controlled by the information systems group. Because of this change, it is essential to thoroughly understand and anticipate the user needs prior to implementing BI applications. The success and long-term viability of an organization rests with its users' ability to access information and to make strategically accurate business decisions based on that information.   
whitepaper Adapting a Consultative Model for Business Intelligence Organizations: A Guide for Successful Implementation2006-08-30 01:00:13 SAS Institute
  The rapid growth and use of data warehouses, data marts, OLAP tools, et al, within corporate America has propelled the concept of Business Intelligence to departmental status. Separate and distinct data warehousing or BI groups are now de rigueur in large corporations. Some are subsets of the larger IT group while others are stand-alone in nature. The organizational structure in either scenario can spell success or failure if not properly thought-out. This paper attempts to suggest a model for success.   
whitepaper Data Warehousing 1012006-08-30 01:00:13 SAS Institute
  As most financial professionals know, a data warehouse isn't a building. It's the process of pulling together and organizing vast amounts of data from inside and outside a company, then applying tools to effectively analyze and view the data as current information on which one can take action. The result is better, immediate, and previously unavailable information about business trends, customer activity, market movements, performance analysis, and other key metrics. The fact is, many businesses have invested significantly in technology and automation. But few have successfully harnessed the data within these systems and transformed it into value-based information that can be used as a competitive weapon and business driver.   
whitepaper Money, Time and Knowledge: The Advantages of Building Dependent Data Marts2006-08-30 01:00:13 SAS Institute
  One of the questions the author is most frequently asked by clients is which architecture strategy is best: independent or dependent data marts. Although both solutions have their advantages, the author usually recommends a Dependent Data Mart (DDM) solution. He recommends DDMs because they tend to provide the best solutions to the main requirements the clients have for data marts in general: they provide a better solution to integration problems; they provide easier maintenance through the ability to identify data errors more quickly; and they provide a better, wider view of the organization.   
whitepaper Data in the Time of Cholera2006-08-30 01:00:13 SAS Institute
  Data warehousing projects usually are difficult and expensive efforts that tend to lose direction because they challenge both business and IT managers with a new and different way of viewing information. Whereas both communities have successfully used computers for the past 50 years to help understand what happens in the day-to-day operations of their business, now they are trying to use computers and large amounts of data to help understand why things happen in their business. Fortunately, historical precedent can be helpful in understanding the issues involved. In essence, data warehousing is an observational science.   
whitepaper The Customer Becomes the Center of the Business Universe2006-08-30 01:00:13 SAS Institute
  Many CRM definitions focus on the importance of knowing the customer and acting on that knowledge. Putting this principle into practice is where the complexity lies. The example discussed in this paper illustrates the type of dynamic CRM environment that thought-leading companies are aiming to provide. The story discussed in this paper introduces reader to two banking customers and walks through a "Trip to the bank" with each one of them.   
whitepaper Real-Time Data Warehousing Defined2006-08-30 01:00:13 SAS Institute
  Everyone is poised for the most radical transition in the short history of data warehousing. Everyone is about to witness the arrival of Real-Time Data Warehousing (RTDW). Despite its name, the impact of this change is due less to the increase in speed of availability (which is significant) than to a significant reduction in overall processing complexity. Real-time Data Warehousing will eliminate the artificial bottlenecks designed into the solutions from the very beginning. It will solve some of the most vexing data warehouse problems such as change data capture. It will allow returning to co-engineered, end-to-end system architectures.   
whitepaper Liquid Intelligence: Economic Returns on Idea and Knowledge Mobility2006-08-30 01:00:13 SAS Institute
  The mobility, convertibility, and transferability - directly realizing the commonly accepted value of the assets - these are the liquidity. Ideas are also capable of having value. Ideas can be exchanged, mobilized, and activated to make an impact on business processes. Knowledge of how to process a form, how to interest a prospective customer, or how to fix an assembly-line machine is also valuable. This information is either more or less mobile depending on a company's infrastructure.   
whitepaper Intelligent Vortex: Integrating Knowledge on e-Buying and e-Bonding2006-08-30 01:00:13 SAS Institute
  A great new opportunity is emerging for sellers of goods in vertical markets - advertising on a vortal for the industries using their products. On a vortal, Business-to Business (B2B) users are already self-selected for participation in the industry-oriented information-bonding site. On the other hand, purveyors of Vertical-industry trade exchanges ("Vertexes") will likely find that information and chat rooms add a "Stickiness" to their sites that keeps customers on the site and promotes loyalty in the form of repeat visits. Brokers of such vertex sites then broaden and deepen purchasing behaviors by also encouraging the natural tendencies of people to have common interests with others in their general industry grouping. The convergence of the vertex buying and vortal bonding is the "Vortex".