In Memory Analytics is a type of data analytics that uses computer memory to store and process data. This type of analytics is used to quickly analyze large amounts of data in real-time, allowing for faster decision-making. It is often used in applications such as fraud detection, customer segmentation, and predictive analytics. In Memory Analytics is becoming increasingly popular due to its ability to process data quickly and accurately. It is also becoming more cost-effective as the technology advances. This type of analytics is often used in combination with other data analytics techniques, such as machine learning and artificial intelligence, to provide more comprehensive insights. Some companies in the In Memory Analytics market include SAP, Oracle, IBM, Microsoft, and Teradata. Show Less Read more
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