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.

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Using Delta Lake for ingesting anonymized customer complaints in real-time

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Exploring complaints data at scale using Koalas

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Leverage AI to better operate customer complaints

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Supercharge your BI reports with augmented intelligence

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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

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