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Revolutionizing Restaurant Management

This case study covers implementing Microsoft Power BI in a restaurant management system, offering detailed dashboards.

  • Industries:Hotel

  • Domain:Hospitality

  • Locations:India, South Africa

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At a Glance

The client wanted to develop analytical dashboards for a restaurant management system that would provide a comprehensive view of critical KPIs related to stock, sales, profit, customer review/rating, and operational efficiency over time.

  • Data Sync API

    0+

    Restaurants

  • Power BI Dashboard and Report creation

    0+

    Dashboards

  • Decision-making and performance

    0+

    Users

Challenges

  • The need for a comprehensive view of critical KPIs related to stock, sales, profit, and customer behaviour.
  • The requirement to transfer data from different sources (Desktop application and Mobile App) to the cloud.
  • The necessity for custom calculations tailored to the restaurant’s needs.

Objectives

  • Enhanced Data Visibility: Transform tabular reports into interactive visual dashboards.
  • Restaurant Specific Dashboards: Create detailed dashboards for individual restaurant.
  • Efficient Data Handling: Transfer data from Desktop and Mobile App to SQL Server and aggregate it for efficient processing.
  • Advanced Analytics: Develop custom dashboards as per independent restaurant requirement.

How we helped?

The Power BI dashboards and reports are created using Microsoft SQL Server Summarized tables in which data is loaded from Desktop and Mobile App using Azure API.

The Solution

Data Sync, Extraction and Transformation

Client System to Server: Data from the client’s Desktop and Mobile app are transferred to the server using APIs. The data is then stored in the Azure SQL Database. ETL Process: The ETL (Extract, Transform, Load) process is handled using Azure Data Factory, which ensures data is accurately transferred and transformed.

Dashboard Development

Custom Dashboards: Over 50+ dashboards in below category were developed using Power BI, each tailored to specific restaurant need.

Technology We have used

  • SQL server

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