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What’s the truth behind the failure of many BI projects? Read this paper to learn the main factors leading to disappointment. These pitfalls are not those of new entrants to BI but have been repeated by smart and well managed companies worldwide.
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This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence.
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In this paper learn how Manufacturing Execution Systems (MES) as a part of the Product Lifecycle Management (PLM) conceptual framework are a natural collector and organizer with virtual product information.
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The cost and complexity of managing increasing volumes of data and content, combined with the need to provide trusted information to every user for every transaction, is driving CIOs to rethink their approach to information delivery.
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An Information Agenda is an approach for transforming information into a trusted strategic asset that can be rapidly leveraged across applications, processes and decisions for sustained competitive advantage.
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This paper explores how Telecoms who apply information governance to solve business problems and service significant events in a similar manner can recognize significant return. Learn how information governance can help Telecom's improve the quality and reliability of data to increase profitability, reduce unnecessary costs and risks.
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Learn about a software platform that helps companies derive more value from the complex, heterogeneous information spread across systems. Learn how to integrate disparate data and deliver trusted information wherever and whenever.
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This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
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Learn about the importance of having a data quality strategy and setting the overall goals. The six factors of data are also explained in detail and how to tie it together for implementation.
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This paper describes game-changing innovations in SQL Server® 2008 R2, including self-service business intelligence (BI), server manageability, complex event processing (CEP), and Master Data Services.
