About

The client is one of the world's largest food and beverage companies. The company is headquartered in the US and operates over 100 retail locations in over 15 countries. The firm was looking to gain real-time business data insights from critical data through reports and dashboards in order to increase sales and reduce labor costs. In addition, they wanted to monitor and significantly improve the company's sales performance.

Project Highlights

Brainvire implemented reports in a client-side .NET and Python-based application using a customized methodology. Data Analytics services provided by PowerBI assisted the client in delivering labour cost analysis with respect to sales to determine labor expense and profits based on sales per store.

The Challenges

  • Unstructured data:
    There wasa need to set a proper structure to understand customer behaviour
  • Accumulation of unmanageable data:
    Restructuring and redesigning
  • Longer downtime to generate reports:
    This required an upgrade of the existing architecture
  • Need for a Data Analytics Model:
    One point perspective

Tech Stack

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    Angular

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    Microsoft SQL Server

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    Python

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    .Net core

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    Azure cloud

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    Power BI

Result

  • Achieve desired data parameters:

    The client was able to see the inputs from Structured data.
  • Realtime reports:

    Integration of Power BI enabled the client to have real-time reports available to him at any time.
  • Time efficiency:

    The time required to load the reports was reduced by improving the application's functionality.
  • Custom report data:

    The client could view various data dimensions such as sales, labour, discounts, profits, etc.

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