BIG DATA AND REAL-TIME ANALYTICS
Analyze and act on high-volume business operations and customer interactions in real-time. Correlate, aggregate and detect patterns across fast-moving data, so you can take the right action at the right time.
while allow you to process billion dollar volumes daily.
What You Can Do with GBX
DESIGN & VISUALIZE REAL-TIME ANALYTICS
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Design continuous real-time analytics scenarios using IT and business-analyst interfaces
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Create end-user business dashboards for monitoring
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Test on previously captured streams of data before deployment
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Visualize key performance indicators; drill down into results
CONNECT TO STREAMING & STATIC DATA
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Connect to sources and destinations of streaming data with low latency, high throughput
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Cache static data for fast, in-memory access and event enrichment
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Integrate with different event streams and app environments via a robust integration frameworks and GBX Swift/ FIX Adapters
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Scalability
ANALYZE SITUATIONS AND RISK PATTERNS & TAKE ACTION
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Aggregate data, do temporal analysis, filter and correlate
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Trigger low-latency actions automatically without human input
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Extract the maximum value from big data in motion or high-velocity event data
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Create repeatable, self-learning processes that adjust dynamically over time
GBX software components, including smart order routing, pre-trade risk, P&L services and more to enable capital markets organizations to rapidly build and evolve
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Big data / big data analytics projects for financial enterprises. Our big data expertise ranges from large-scale data processing systems delivering analytics to Ultra low-latency distribution solutions supporting pricing and risk engine
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Financial services companies understand that having more data improves the precision to understand and predict an enterprise’s financial health and growth -- or lack thereof. Big-data implementations look to provide the opportunity to manage huge volumes of disparate data, at the right speed and within the appropriate time frame to allow real-time analysis and reaction.
