Slalom
169 Case Studies
A Slalom Case Study
The client, a global financial services firm, engaged Slalom to address the risk its data faced due to manually-intensive and ineffective risk management processes. The challenge was to centralize security risk analytics and develop the capability to detect and predict technology-based fraud across its global operations.
Slalom designed and built a big data infrastructure to create an automated, data-driven platform for security risk analytics. This solution, which leveraged Hadoop and QlikView, processes terabytes of unstructured log data and delivers insights through intuitive visual dashboards. The results included a dramatic reduction in data integration time from 24 hours to 15 minutes, a decrease in security breaches, and better protection of company intellectual property.
Global Financial Services Firm