| Title | Date Added | Company | |
|---|---|---|---|
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Delivering information you can trust | 2008-05-12 | IBM |
| The amount of data businesses generate can be overwhelming.Now add different types of data and multiple departments and silos the information is stored across. You quickly understand the scramble to figure out how to organise, this paper looks at how you can deliver information better.
Tags: Data Quality, Database Management, Business Intelligence - Data Warehousing |
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Accelerating Enterprise Data Governance Part 1 | 2008-05-09 | DataFlux |
| In the first of this series of three white papers, Mike Ferguson of Intelligent Business Strategies defines what data governance is and then looks at the requirements that need to be met for full data governance to be implemented. He also discusses how to systematically build re-usable data services to automate the tasks needed to formally govern data on an enterprisewide basis in order to accelerate the time to production and guarantee rock-solid data.
Tags: Data Quality, Business Intelligence - Data Warehousing |
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Data Governance for Master Data Management and Beyond | 2008-05-09 | DataFlux |
| There is growing interest on behalf of both data management professionals and senior business managers to understand the motivations, mechanics, and benefits of instituting data governance within an organization. This white paper by David Loshin examines how the definition, oversight and adherence to information policies and procedures can create value across the enterprise beyond the immediate benefits of regulatory compliance. Tags: Data Quality, Business Intelligence - Data Warehousing |
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Getting Started with Master Data Management | 2008-05-09 | DataFlux |
| Master data management forms part of an overall enterprise governance program that aims to establish trusted data throughout the enterprise. This white paper from Mike Ferguson of Intelligent Business Strategies defines master data, examines why it is needed, and explores methodologies for implementing master data management.
Tags: Data Quality, Business Intelligence - Data Warehousing |
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Reduce Your IT Budget: Consolidate Data to One Platform - See How Quest Software Eases Data Migration to SharePoint | 2008-05-05 | Quest Software |
| It's costly to manage and maintain multiple data platforms. By reducing the amount of supported systems, you'll save money - but is there a single platform you can trust to consolidate and manage all of your information?
In the Quest white paper, "Why Migrate to SharePoint," Adam Woodruff talks about the challenges and benefits of migrating data to SharePoint, and why consolidating your data can save you time, money and headaches. Read this paper and learn how your company can benefit from consolidating data on Microsoft Office SharePoint. Tags: Database Management, Resources Mgmt., Strategic Planning, Database Applications |
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Information Architecture Essentials, Part 6: Distributed Data Mining | 2008-04-08 | IBM |
| The explosive growth in data-storage capabilities and rapid network communication protocols has allowed organizations to collect and store a staggering amount of information on specific topics. These databases may be upwards of petrabyte size (1 x 10 15 bytes, or a billion megabytes) - a truly awe-inspiring amount of data! Such massive information stores are often found in research applications (such as biology, medicine, physics, and astronomy) and government agencies (such as the IRS, Department of Defense, and Department of Labor). They may also occur in business: for example, in insurance calculations for underwriting risk. Government agencies often need to share data, but different data schemas, interfaces, and communication techniques complicate these transfers.
Tags: Data Mining - Analysis |
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Information Architecture Essentials, Part 5: Business Intelligence in Your Information Architecture | 2008-04-01 | IBM |
| This series explores a variety of elements that create a successful information architecture design. As one manages and organizes data and content, work with distributed data mining, and analyze and present information to users, there is a key element that one can't let go untapped: business intelligence. How is one using all that data to build a better business from within? Is one getting the right information to the right people and in a format they can understand? If the first response is, "Um, uh&," then it's a good bet that the design is suffering from what some experts call an information paradox - an excess of information that has little usefulness.
Tags: Data Mining - Analysis, Business Intelligence - Data Warehousing |
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Implementing a Transaction Hub MDM Pattern Using IBM InfoSphere Master Data Management Server | 2008-03-20 | IBM |
| Master data such as customers, products, accounts or locations is the foundation of critical business decisions and is used in important business processes. Today, many companies have their master data scattered and inconsistent across numerous front- and back-office systems and lack a consistent, complete, and accurate enterprise view of this data. This inefficient handling of data costs businesses millions of dollar in lost revenue. Master Data Management (MDM) solves these issues and improves revenue by enabling cross- and up-sell opportunities. Implementing a MDM solution successfully requires a well-designed MDM system as a core component of the solution.
Tags: Application Servers, Gateways - Hubs |
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The Tangled Web of Google Health - Online Medical Records Could Change Healthcare Receivables Strategies | 2008-03-20 | Kaulkin Ginsberg |
| Several prominent web cornerstone firms, like Google and Microsoft, are pushing a system that would allow consumers' access to Personal Health Records. The medical ARM industry could both benefit and suffer by this move. The World Wide Web and the major international corporations that help users organize the way they navigate it, is on the cusp of another transformative moment in the evolution of healthcare. If anyone has picked up a newspaper - or more likely read one online - in the last month, he or she have probably encountered at least one story on Personal Health Records (PHRs) and the controversy surrounding plans by Google, Microsoft, Aetna, and other companies purportedly to give consumers more active control of their healthcare decisions. | |||
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Five Steps to More Valuable Enterprise Data | 2008-03-12 | DataFlux |
Companies worldwide struggle with inconsistent, inaccurate or unreliable data - and often don't know how to build more useful corporate information. This white paper examines a five-step method for improving your data, using data profiling, data quality, data integration and other methods to find and fix bad data. Tags: Data Quality, Business Intelligence - Data Warehousing |
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