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This technical resource examines three key new features of SQL Server 2014 that deliver mission-critical performance, faster data insights, and migration of data to the cloud.
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Business intelligence (BI) and analytics are helping companies improve agility and make more informed, data-driven decisions. But while BI and analytics is a priority for most organizations, not everyone knows where to begin. Choosing the right platform and architecture is key to a successful analytics strategy.
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Check out the following white paper to see how analytics are helping defeat disease through the integration of patient genetic data. Learn how altogether, this technology can offer unrivaled personalized medicine, and ultimately a healthier future.
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Insurance providers, such Unipol Group, Primerica, Unum Group, and Swiss Re, are using a smarter analytics approach to be more customer-centric, predict and control costs better, understand and monitor dynamic risk, and enhance decisions to be more agile in the marketplace—learn how in the following white paper.
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This case study takes an inside look at the success that leading social discovery site Twoo.com found with the right distributed SQL database – which allowed the company to accommodate dramatic traffic growth, ease management complexity, and more.
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Access the following case study to uncover an upgraded solution that Daptiv utilized to easily migrate 30,000 reports from 500+ clients quickly and seamlessly. Also get a firsthand look at how this technology allowed them to enhance its cloud-based SaaS, drive better data analytics, decision making and more.
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This whitepaper discusses the advantages of taking a proactive approach to leveraging data can reveal fast, effective pathways to improving quality. Read on to find out how to stop being reactive with your workflow improvements, and how focusing on quality can help mitigate risk.
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Did you know that enterprises typically only use 10% of their data for analytics and decision-making? Is your business letting so much of its data go unused? To get the most value out of corporate data assets, forward-thinking organizations are looking for the right tools -- namely business intelligence (BI) and analytics applications.
