F500 CPG Giant – POS Pipeline Automation

Business problem

  • Client wanted to extract the data from different sources and store it in a structured format in the GCP environment
  • Fractal designed a service where retail data was extracted from different sources like SFTP, Web Portal, and stored them into the Google Cloud storage

Fractal solution

  • Fractal built a data lake in GCP, and the entire process was automated and scheduled through Airflow
  • Fractal data was ingested into Big Query after doing a transformation

Business outcomes & impact delivered

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Fractal was extracting the data and storing them in GCP, enabling a single source of truth for the client

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Client has a robust and reliable source of analysis at their disposal by partnering with Fractal

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Client was able to leverage the insights from this project and use it at crux of their future product strategy

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Google Cloud services​

Google Cloud services Big Query

Big Query

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Kubernetes

Google Cloud services Cloud Storage

Cloud Storage

Fractal's value proposition

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Modeling technique and algorithmic expertise helped solve the business challenge
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Data engineering standards and processes were essential in ensuring automation and scalability of the solution

GCP consumption (estimates)

Fractal Deal Size - $ 55K USD

GCP Consumption Estimate - $ 100K USD

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