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Managing and analyzing data in the cloud has many benefits, but adoption levels remain relatively low, despite the potential benefits. Get the numbers behind leveraging the cloud for business intelligence and big data analytics, and find out how maximizing analytics' potential relies on the quality of your data.
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This case study features Providence Health & Services experience with a managed security services provider that offered reliable and efficient security management.
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This whitepaper offers essential advice for governments looking to maximize their resources while increasing their capabilities. Read on to see how analytics could be the answer, offering deeper value from your tax revenue streams.
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This white paper gives you 8 essential criteria for implementing self-service analytics in your organization. Discover how you can empower your business end users to tap into in-depth insights, driving more informed business moves and increasing visibility into valuable datasets.
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The following white paper explores the importance of having an agile business intelligence solution for survival in today's market. Learn how to facilitate a more agile BI environment and gain access to the Agile BI checklist—a helpful tool to use on the road to BI success.
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Access this white paper to discover a storage platform whose capacity is powerful enough to handle the massive demand of big data analytic workloads now and in the future.
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At the heart of any successful big data initiative is a database management system (DBMS) that utilizes advanced technologies to deliver high performance, versatility, and scalability without breaking the bank.
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Consult the following white paper to uncover the top 5 latencies in the analytics process and what you can do to overcome them. Also included are technology recommendations, tips, and, strategies that can make your analytics solution as efficient as it needs to be.
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This whitepaper considers the challenges facing governments in regards to data management and garnering intelligent insights. Read on to see what the future of municipal data management looks like, and what challenges to expect.
