Solution Accelerator
How to build: A reputation risk engine
To enable financial services institutions to measure brand perception
Create superior customer experiences by tracking customer feedback
Harness the Databricks Lakehouse Platform to build a risk engine that can analyze customer feedback — securely and in real-time to power an early assessment of reputation risks. Read the full write-up
NOTEBOOK 1
Using Delta Lake for ingesting anonymized customer complaints in real-time
Benefits and business value
Gain a holistic view
Apply new sources of data, such as social media, direct customer feedback and other unstructured sources to gauge reputation
Move fast and early
Preempt issues with an early assessment of reputational risks
Collaborate at scale
Enable data teams to collaborate and iterate quickly on building reputation risk platforms that can scale as data volume grows
Reference Architecture
Additional resources
