The Role of Big Data Analytics and Visualization to Mitigate Financial Crime Risks
The financial services industry is under intense pressure from FinTECH companies to deliver a frictionless customer experience through digital payments channels, which creates opportunities for fraudsters and cybercriminals to steal credentials, takeover accounts, and exfiltrate data for monetary gain. Meanwhile, heightened regulatory scrutiny, record enforcement actions, and threat of personal criminal liability have raised the importance of improving the effectiveness and efficiency of firms’ anti-money laundering programs. Due to rapid enhancements in technology: computing power, memory, storage, and open source tools have significantly reduced the barrier to entry for small to medium-sized companies to harness the power of analytics against very large stores of data.
Hear how innovative companies are applying big data analytics and data visualization technologies to mitigate their financial crime risks and preserve the trust between their customers, regulators, and shareholders.