NDLI: Discovering Insightful Relationships inside the Panama Papers Using SAS ® Visual Analytics

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Discovering Insightful Relationships inside the Panama Papers Using SAS ® Visual Analytics

Content Provider	Semantic Scholar
Author	Overton, Stephen
Copyright Year	2018
Abstract	Network analytics is a broad methodology which supports the desire to perform link analysis through visual tools such as SAS® Visual Analytics, SAS® Social Network Analysis, and SAS® Visual Investigator. Link analysis visually displays all possible relationships which exist between entities, based on data available, to provide insight into direct and indirect associations. This can be a very helpful tool to support an investigation as a part of a fraud or anti-money laundering investigation process. Beneath the surface, data management techniques and advanced analytical routines are used to discover relationships, transform data and build the appropriate data structures to support link analysis. Network statistics can help describe networks more accurately by using quantitative data to define complexities and unusual connections between entities. This paper will explore an approach to support network analytics and link analysis by using the Panama Papers as a real-world example. The Panama Papers leak is the largest leak of confidential data to-date. The data contained within the Panama Papers provides a wealth of knowledge to financial investigation units because it exposes previously unknown relationships between corporate entities and individuals.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2018/1786-2018.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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