Big Data and Specific Analysis Methods for Insurance Fraud Detection Big Data and Specific Analysis Methods for Insurance Fraud Detection

@inproceedings{Bologa2014BigDA,
  title={Big Data and Specific Analysis Methods for Insurance Fraud Detection Big Data and Specific Analysis Methods for Insurance Fraud Detection},
  author={Ana-Ramona Bologa and Razvan Bologa and Alexandra Ioana Florea and A. Florea},
  year={2014}
}
Analytics is the future of big data because only transforming data into information gives them value and can turn data in business in competitive advantage. Large data volumes, their variety and the increasing speed their growth, stretch the boundaries of traditional data warehouses and ETL tools. This paper investigates the benefits of Big Data technology and main methods of analysis that can be applied to the particular case of fraud detection in public health insurance system in Romania. 

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