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​


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


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


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

Looking for a similar project?

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

Fractal's modeling technique and algorithmic expertise
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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