Background
In the global financial services industry, enterprise risk management frameworks require KPIs to calculate, track, and monitor emerging risks within the business. How can advanced analytics automate this process whilst improving accuracy, quality, and transparency?
Challenge
With over 100 separate KPIs, data flows into the risk framework from various operational systems, including trading platforms and user-submitted manual inputs. This process takes a considerable amount of time to continuously collate manually and is prone to error, which could lead to regulatory fines.
Approach
• Collect risk monitoring data from end users via Alteryx Gallery apps • Automate data integration from multiple enterprise systems and manual inputs with Alteryx workflows, allowing for centralized data and ease of reporting • Produce a suite of Qlik Sense apps, tailored monitoring dashboards with daily updates for self-service analytics, and automated outputs for quarterly committee reports
Key results
Benefits
Consistent, traceable data processing in Alteryx improves transparency and confidence in reporting outputs. With end-to-end data processing automation for committee reporting, the client replaced five days of manual processing time per week to just one day. Qlik Sense dashboards provide self-service data directly, while robust row-level security maintains separation between data for competing brands within the business.
Technology partners
Alteryx
Alteryx automates analytics, data science, and processes in one unified platform to accelerate digital transformation. Organizations rely on Alteryx to rapidly upskill their workforces and deliver strategic, high-impact, business outcomes.
120+
certified consultants
8+
years of partnership
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