Bank Fraud: Using Technology to Combat Losses: 25 (Wiley and SAS Business Series) - Tapa dura

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Revathi Subramanian is Senior Vice President, Data Science at CA Technologies, which helps Fortune 1000 companies manage and secure complex IT environments to support agile business services. She is the founding member of a team of high caliber data scientists that are uncovering business value and operational intelligence from the chaos of Big Data in areas like eCommerce, application performance management, infrastructure management, service virtualization, and project management. Before joining CA, Revathi was the co-founder of the SAS Advanced Analytic Solutions Division in 2002. She led the development of a new enterprise real-time fraud decisioning platform utilizing advanced analytics. Revathi has a Master’s degree in Statistics from The Ohio State University and a Bachelor’s degree in Mathematics from Ethiraj Collge, Chennai, India.

De la contraportada

BANK FRAUD

Using Technology to Combat Losses

Great strides in data intelligence have been made over the years as the fraud detection and prevention industry has matured. With that comes a need for technology that can handle all of this data, as well as people who know how to correctly use it. As part of the Wiley and SAS Business Series, Bank Fraud: Using Technology to Combat Losses dives deep into fraud detection and prevention strategies from a technological perspective. The book is aimed at helping users define their data and analysis environments correctly from the beginning, so that the best possible results can be achieved by their fraud management systems.

Bank Fraud is not meant to convert the reader into a data scientist, but rather aims to convert the reader into a power user of data-driven systems while presenting some key aspects of a good fraud solution. It covers the history of fraud detection and prevention along with practical tools for understanding risk exposure, key terms, statistics, and trends. It also discusses the special vulnerability banks have when it comes to fraud and the historical challenges in locating perpetrators.

Bank Fraud provides guidance for loss prevention professionals to assess which technology is appropriate for battling bank fraud and how to properly implement it. Its advice is timely and relevant, as combating fraud is listed as a top priority for almost every bank in existence today. Readers get a look at fraud prevention from an expert's perspective and learn to use technology as a harness for data intelligence – effectively stopping fraudulent activity in its tracks.

De la solapa interior

BANK FRAUD

Using Technology to Combat Losses

Great strides in data intelligence have been made over the years as the fraud detection and prevention industry has matured. With that comes a need for technology that can handle all of this data, as well as people who know how to correctly use it. As part of the Wiley and SAS Business Series, Bank Fraud: Using Technology to Combat Losses dives deep into fraud detection and prevention strategies from a technological perspective. The book is aimed at helping users define their data and analysis environments correctly from the beginning, so that the best possible results can be achieved by their fraud management systems.

Bank Fraud is not meant to convert the reader into a data scientist, but rather aims to convert the reader into a power user of data-driven systems while presenting some key aspects of a good fraud solution. It covers the history of fraud detection and prevention along with practical tools for understanding risk exposure, key terms, statistics, and trends. It also discusses the special vulnerability banks have when it comes to fraud and the historical challenges in locating perpetrators.

Bank Fraud provides guidance for loss prevention professionals to assess which technology is appropriate for battling bank fraud and how to properly implement it. Its advice is timely and relevant, as combating fraud is listed as a top priority for almost every bank in existence today. Readers get a look at fraud prevention from an expert’s perspective and learn to use technology as a harness for data intelligence – effectively stopping fraudulent activity in its tracks.