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Consumer app · San Francisco

Audience business review analytics

Data lake on S3 exposed to Athena via Glue Catalog, a single-source-of-truth table refreshed by Step Functions and Lambda, and a QuickSight CXO dashboard for MAU, DAU, trial-to-subscription and revenue trends.

AWSS3AthenaGlueStep FunctionsRedshift SpectrumQuickSight

The problem

Legacy BI could not deliver near real-time app usage insight; every analysis was a manual data pull.

Our approach

  1. 1Consolidated app event, subscription and billing feeds into a partitioned S3 data lake.
  2. 2Catalogued datasets in Glue and queried them through Athena and Redshift Spectrum.
  3. 3Orchestrated a daily single-source-of-truth refresh with Step Functions and Lambda.
  4. 4Published a CXO QuickSight dashboard covering MAU, DAU, trial-to-subscription and revenue.

Measurable outcomes

Daily
Automated audience and revenue review
0
Manual data pulls per analysis
1
Single source of truth for MAU and DAU

Architecture and workflow

Architecture and workflow
  1. 01

    Sources

    App events · billing · subscriptions

  2. 02

    Lake

    S3 partitioned zones

  3. 03

    Catalog

    Glue · Athena · Spectrum

  4. 04

    Orchestrate

    Step Functions · Lambda

  5. 05

    Consume

    QuickSight CXO dashboard

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