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This paper discusses how the shift to in-memory analytics will make time-to-value in countless business decisions accelerate, changing the pace of adoption and integrated analytics within the enterprise. Learn how in-memory analytics is going to change everything about your enterprise.
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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.
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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 success of a business is increasingly tied to the quality of their information. Through the Data Governance Maturity Model, organizations can identify precisely how they can create an environment that can deliver and sustain high-quality information.
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This white paper identifies a shift in corporate thinking about the value of trusted information to the organization and outlines reasons why this shift is occurring. It explores common information integration challenges and outlines a list of key characteristics needed for an effective information integration solution.
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Learn why information integration and data governance must be built into big data applications from the start, and how automating information integration can allow you to put 100% confidence into ensuring and protecting your big data analytics.
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Reference data is the lifeblood of an organization but inconsistencies can lead to inefficient processes and inaccurate analytics. Master reference data makes operational data more accurate, simplifies synchronization and migration projects and improves MDM effectiveness. Learn some key considerations for creating a reference data master.
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In this case study, Bouygues Telecom uses an analysis platform to help it proactively uncover online and in-store fraud by consumers, dealers and organized crime groups, and prevent the subsequent loss of products and revenue.
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This paper discusses how Trillium Software extends that principle to ensure services are driven by data governance defining the criticality and use for the data, and establishing roles and responsibilities within the business and IT to achieve business goals and objectives.
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This white paper explains the key elements for building a proper, quantified business case. It presents the measures that are favored by corporate finance departments, and helps develop a strong business case for data quality and MDM projects. A number of real-life examples with quantifiable benefits are also included.
