Case Study: Optimization of data analysis for a medium-sized SaaS in the restaurant industry


The client, a medium-sized SaaS company dedicated to the restaurant industry, was facing significant challenges in understanding the current market due to the vast amount of data available in their sector. The company needed to extract and analyze information about potential customers to personalize their marketing campaigns based on user and customer preferences.


Solution Proposed by AidaDataConsultancy:

  1. Implementation of a Data Visualization System: We developed a robust system for data visualization, enabling the company to handle large volumes of data efficiently.
  2. Data Cleaning and Structuring: We conducted an exhaustive process of data cleaning and structuring to ensure that the information was accurate and useful for analysis.
  3. Data Interpretation Guide: We provided a detailed guide to help the client easily understand the visualized data, KPIs, and other key indicators, thus facilitating informed decision-making.



  • Identification of Key Customers: The client was able to clearly identify who their main customers were and how the market was structured.
  • Optimization of Marketing Campaigns: With a better understanding of user preferences, the company was able to personalize and optimize their marketing campaigns, saving time and resources.
  • Time Savings in Market Studies: The implementation of our solutions significantly reduced the time invested in market studies.

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A tech firm with a commitment to transparency, value, and communication.

Copyright © 2024. All rights reserved.