Success Stories

Intelligent FinOps: Powering Cloud Cost Intelligence and Optimization

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    Executive Summary

    A leading global media and entertainment organization needed a unified way to understand, attribute, and optimize cloud and platform spend across a complex multi-cloud environment. 

    Anblicks built a Databricks-based FinOps platform that consolidates cost and usage data across AWS, Databricks, Snowflake, Confluent Kafka, and GCP Looker. The platform combines governed cost attribution, anomaly detection, AI cost visibility, automated recommendations, and Business Unit–scoped insights to turn fragmented billing data into actionable cost intelligence. 

    The platform has evolved into a scalable FinOps capability, with 177 registered users, 94 monthly active users, 881 anomalies triggered, and an estimated 210 OpEx hours saved per month

    The Breakthrough
    • ~97% reduction in unattributed Confluent spend — reduced from approximately 61% to 2%, closing a roughly $107K monthly attribution gap.  
    • 210 OpEx hours saved monthly through automated pipelines, reporting, and recommendation workflows.  
    • 177 registered users and 94 monthly active users, demonstrating sustained platform adoption.  
    • 881 anomalies triggered and 32 automated digests delivered, bringing cost intelligence into ongoing operational workflows.  
    • Actionable optimization at scale — recommendations connect identified waste to prioritized actions, estimated savings, and Jira-tracked remediation.  
    • Scalable FinOps foundation — multi-Business Unit support and repeatable onboarding enable expansion without creating separate cost-management platforms.  
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