Dell PowerEdge R940xa GPU Database Acceleration on - Page 17

5.6 Use Cases for Brytlyt's GPU Database In a world where data driven decision making is more important than ever before, being able to improve timeto-value by answering more complex questions, for more people, on ever growing amounts of data is essential. Retail Industry In the retail industry, continuously responding to changing customer needs, in a market where margins are often thin and product cycles are becoming shorter, an accelerated GPU Database like Brytlyt can help:  Understand customer behavior across social, digital and retail platforms to gain a faster, more accurate 360 view of each customer.  Understanding seasonal, cultural and regional trends to reveal micro-trends and take advantage of opportunities in real time.  Understanding inventory at macro and micro level so that products and product lines can respond to customized fulfillment strategies. Financial Services Finance is one of the most data driven of any industry, and has a huge amount to gain from Brytlyt's GPU Accelerated Database.  Risk management calculations on up to the moment data with sub-second speed for better informed investment decisions, react quickly to market events while simultaneously reducing credit risk. By running more complex market or counter party risk calculations, financial industry can obtain results in real time rather than overnight. This speed and quality of information provides a deeper insight to exposures, enabling the financial industry to rapidly adjust positions and reduce risk.  Fraud detection on large static or streaming datasets to uncover anomalies and patterns that signal fraud while reducing false positives and detecting advanced, persistent threats in real-time. Telecom Industry From analyzing network coverage, quality of experience, to making improvements and related investment decisions, and the telecom industry can gain from a GPU accelerate database as Brytlyt:  Monitoring usage and capacity issues by visualizing real-time data in order to identify the periods of heaviest network usage, telecom providers can use Brytlyt to forecast network capacity, plan for shortterm surges in real time and interactively on large and complex data sets.  Optimizing infrastructure and networks/towers by visualizing the real-time usage for insights on performance, bandwidth or maintenance issues. This can be done in milliseconds and ensuring the health of the networks. 17 GPU Database Acceleration on PowerEdge R940xa