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At the TDWI World Conference in Las Vegas, the focus is on developing a true enterprise strategy for one of your organization’s most valuable assets: its data. And it’s not just IT’s responsibility. If you hope to transform your data into information and knowledge that will produce measurable improvements in business performance, a true strategy is essential, and it depends on a partnership across departments.
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Executive Summit Videos Information Management Videos
Las Vegas, NV: Feb 12 - 17, 2012
Las Vegas, NV: Feb 13 - 15, 2012
Savannah, GA: March 4-6, 2012
March 19-22, 2012
April 23-26, 2012
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Excitement is growing among business users about how they could use mobile devices to transform the role of information in customer interactions, performance management, planning and forecasting, and their daily operational decisions while on the go. This report examines the impact of mobile computing on the development, management, and implementation of applications and services for business intelligence and analytics.
This Checklist Report clarifies the common points of confusion about Hadoop and its extended ecosystem and reveals the true value of Hadoop for BI, DW, big data, and analytics.
This monograph focuses on how organizations can align data management practices and technologies with requirements for advanced analytics. Focusing on seven key steps, it explores how organizations can use high-performance computing options to support advanced analytics through in-database processing, in-memory analytics, event processing, and alternative approaches to data transformation and integration.
This new edition of What Works in Emerging Technologies offers a fresh, topically focused collection of customer success stories and expert perspectives. We’re proud to offer this resource to enhance your understanding of today's emerging technologies in data integration, data warehousing, and business intelligence.
Exploring the power of master data management with social media data; moving to real-time BI; pervasive BI; agile project management; and more.
This Checklist Report examines the issues surrounding operational and real-time BI and helps you determine how to align their implementation with true business requirements and capabilities, to ensure greater success in reaching business and IT goals.
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The term “big data” has arisen in recent years to describe multi-terabyte data sets. Big data certainly has its challenges, relative to scalability and data management. But it’s also useful for business intelligence purposes. In particular, the massive datasets of big data provide substantial data samples for various forms of analytics, especially advanced forms that are discovery oriented. February 9, 2012
Know your data: With today’s information-driven business projects, no maxim could be truer. Yet many organizations lack fundamental knowledge about their data – and the situation is getting tougher as “big data” sources grow in size and variety and manual documentation efforts can’t keep pace. March 1, 2012
It is difficult to ignore the growing influence of broad, massive streams of data from unexpected sources, especially when these data sources can directly influence customer satisfaction, expose opportunities for revenue generation, lead to brand risk, or improve customer profiling. March 7, 2012
Fundamentally, there are two different approaches to modeling MDM – (1) prepackaged, and (2) business model-driven. Each approach determines if the data model is fixed or flexible, web services are pre-generated or dynamically generated, and user interfaces are pre-defined or user-defined. March 20, 2012
"Look after the pennies and the pounds will look after themselves." Operational analytics works the same way. Analyze what’s happening historically and in the moment for all the day-to-day activities of your business. March 27, 2012
Master data management (MDM) is one of the most widely adopted data management disciplines of recent years. That’s because the consensus-driven definitions of business entities and the consistent application of them across an enterprise are critical success factors for important cross-functional business activities. April 10, 2012
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