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In-Memory: Speeding Up Value by Using Operational Intelligence

  • In-Memory: Speeding Up Value by Using Operational Intelligence-

    Financial services: Taking action in a changing market.

    Real-time analytics with in-memory data grids offers the ability to examine live, fast-changing data and obtain feedback in milliseconds to seconds. 

    A hedge fund in a financial services organization can track the effect of market fluctuations on its portfolios. Long and short equity positions can be quickly evaluated for strategies and rebalancing. 

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In-Memory: Speeding Up Value by Using Operational Intelligence

  • 1 | 2 | 3 | 4 | 5 | 6 | 7
  • In-Memory: Speeding Up Value by Using Operational Intelligence-4

    Financial services: Taking action in a changing market.

    Real-time analytics with in-memory data grids offers the ability to examine live, fast-changing data and obtain feedback in milliseconds to seconds. 

    A hedge fund in a financial services organization can track the effect of market fluctuations on its portfolios. Long and short equity positions can be quickly evaluated for strategies and rebalancing. 

In-memory technology was around long before Big Data became a buzzword. Parallel computing dates back to the 1980s. With lower cost memory and greater workload demand, in-memory computing has emerged as a key technology. A diverse array of industries, such as finance, retail and ecommerce, looking to capture business opportunities in real-time, are turning to in-memory.

As Big Data has come to the forefront of the next wave of technological innovation, in-memory data grids have become a powerful tool. ScaleOut Software has identified five ways organizations can use in-memory technology.