F500 CPG Giant – Revenue Growth Management

Business problem

  • Client is an F500 CPG manufacturer and wanted to build an in-house Revenue Growth Management (RGM) capability by leveraging the GCP data lake to setup analytics and applications services on top of it

Fractal solution

  • Fractal helped in extracting data from Big Query using custom query, enhanced data, and features stored in Google Cloud Storage with timestamp ID
  • Fractal provided feature selection, regression, and prediction to obtain prediction and coefficients using compute engine

Business outcomes & impact delivered​

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Fractal was extracting the data and storing them in the 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

Google Cloud services Cloud Storage

Cloud Storage

Google Cloud services compute engine

Compute Engine

Fractal's value proposition

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Fractal's modeling technique and algorithmic expertise
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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 - $477,000 USD

GCP Consumption Estimate - $3000 USD

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