| Title | Date Added | Company | |
|---|---|---|---|
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Enterprise Data Services White Paper: A Declarative Approach for Defining Services | 2006-09-08 01:00:28 | BEA Systems |
| As organizations adopt a Service-Oriented Architecture (SOA) they are discovering that service-enabling data is one of the most pressing tasks. Download this informative white paper from BEA to learn about the importance of a data services layer and how the BEA AquaLogic Data Services Platform automates and minimizes the work of service-enabling data. | |||
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Driving Information-led Business Innovation with IBM Information Server | 2006-11-04 01:00:15 | IBM |
| IBM Information Server is a revolutionary new software platform that helps companies derive more value from the complex, heterogeneous information spread across their systems. It enables companies to integrate disparate data and deliver trusted information wherever and whenever. Learn more about its full capabilities in this paper. | |||
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Strategies for Reducing Cost and Risk for Data Protection and Storage - Digital Authority eZine | 2007-01-09 07:31:50 | Iron Mountain Digital (LiveVault) |
Read this information-packed eZine from Iron Mountain Digital to gain valuable insight into how to protect your organization's business-critical information assets. Articles in this issue include:
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Manufacturing Intelligence | 2006-08-30 01:00:13 | SAS Institute |
| The perfect factory is one that uses real-time manufacturing intelligence to achieve the best performance with minimal unscheduled downtime. As market leaders, these model plants are highly efficient, productive, and profitable. By implementing new technology strategies that yield real-time manufacturing intelligence, manufacturers can achieve high levels of optimization and overall equipment effectiveness. Manufacturing intelligence enables managers to improve the effectiveness and efficiency of the operations of their enterprise by providing them with easy access to enterprise-wide, key information. Manufacturing intelligence provides measures to analyze, control, and manage operations performance and efficiency. This paper briefly covers some approaches that seem to offer good management intelligence solutions for an entire factory or a part of the manufacturing process. | |||
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The Evolution of Activity-Based Business Intelligence (ABBI) | 2006-08-30 01:00:13 | SAS Institute |
| Born from the desks of accountants, Activity-Based Costing (ABC) is rapidly transforming from a cost management tool to a strategic weapon, as organizations around the world are faced with seemingly unprecedented competitive pressures. The two principal drivers of these pressures are the tangible existence of a global marketplace and shareholder/ market demands for profit maximization. To enter and penetrate these global markets, organizations need to revisit the price points of their products and services to meet the demands of markets with diverse levels of purchasing power and commit to increased levels of (hard and soft) dollar investment. | |||
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Business Intelligence Solutions - Guiding Principals | 2006-08-30 01:00:13 | SAS Institute |
| A fully conceived guiding principle consists of a statement, the rationale for creating it, and the implications of following it. The statement should be succinct. It should clearly state a direction so that someone working in the area understands the direction to be followed. The consequence(s) of each principle should also be stated. These statements will help the staffs and users understand the interactions and implications of each other's job function. The completed principles need to be then marketed and publicized throughout the enterprise. | |||
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Strategic Planning | 2006-08-30 01:00:13 | SAS Institute |
| Strategic planning should follow a common sense approach. This paper explains a method of planning that the author has seen work successfully and what is required to help to succeed. One may know a different way of building his or her plan, but this technique does work. The author explains that this method was used for the yearly strategic planning process within his organization. However, one can easily modify it to perform strategic planning for such areas as: Business Intelligence initiatives, Data Warehouse planning, and just about anything else he or she would want to use it for. | |||
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The Concept of Data Resource Data | 2006-08-30 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. | |||
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Defining Enterprise-Wide User Query and Reporting Requirements | 2006-08-30 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. | |||
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Adapting a Consultative Model for Business Intelligence Organizations: A Guide for Successful Implementation | 2006-08-30 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. |
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