Accelerating Time to Insight for Midsize Companies Using In-memory Analytics

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In-memory analytics provides midsize companies with a faster, more flexible, and arguably lower-cost way of accessing and processing information, allowing users to get answers to business questions in seconds rather than hours. By virtue of its high-performance architecture, in-memory has the potential to help midsize organizations become more informed, and respond quicker to changing market conditions. Find out more.

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Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World

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In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing. See how it works and how to revolutionize the way you run your business.  Read More

Why Enterprise Resource Planning Software Is Your Best Business Intelligence Tool

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If a business is going to successfully operate competitively, it needs to expand its analytics processes beyond the rear-view mirror. In-context analytics derived from both historical information and real-time data provides more accurate and intuitively structured intelligence. Accessing this information through a built-in BI tool within an ERP environment enhances the process and empowers users to improve business outcomes in real time. Read More

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Prepare for the Quantum Leap in Real-time Analytics: How In-memory Analytics Is Going to Change Everything about Your Enterprise

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Analytics at the Speed of Business for Midsize Organizations

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