Pipeline To Insights

Pipeline To Insights

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Pipeline To Insights
Pipeline To Insights
🐔Nando's Modern Data Platform with Data Mesh and Data Contracts

🐔Nando's Modern Data Platform with Data Mesh and Data Contracts

Discover how Nando's transformed its data platform using data mesh and data contracts, the challenges they faced, and the solutions that led to their success.

Erfan Hesami's avatar
Erfan Hesami
Nov 02, 2024
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Pipeline To Insights
Pipeline To Insights
🐔Nando's Modern Data Platform with Data Mesh and Data Contracts
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About Nando's

Nando's

Nando's is a South African fast-casual restaurant chain known for its Portuguese flame-grilled peri-peri chicken🐔. Founded in Johannesburg in 1987, it now has over 1,200 locations in 30 countries. Curious to learn more about Nando's? Discover their story here! 🐣

In this post, we share Nando's journey in transforming their data platform using data mesh and data contracts. We highlight the tools they used, the challenges they faced, and the solutions that worked. Additionally, we offer key insights that contributed to their success in building a robust data platform.

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Nando’s Data Landscape

Nando's data
Created by ChatGPT

Data is crucial to Nando’s success. Providing accurate, timely insights enables the business to address its primary challenges effectively. Nando’s utilises data from over 50 sources in various formats, including:

  • Sales Data: From tills, in-house platforms, and Deliveroo. 💸🚚

  • Sustainability Data: Information on oil recycling, chicken donations, and waste collections.♻️💗

  • Kitchen Data: Data from smart ovens and kitchen display systems.🖥️🧑‍🍳

  • Customer Loyalty Data: Details from customer loyalty programmes.🫂


Nando’s Old Data Platform (Pre-2021)👴

In the previous data platform, different teams maintained separate copies of data, leading to fragmented efforts across various cloud environments. This decentralised approach resulted in:

  • Data Inconsistencies: Multiple versions of the same data.

  • Increased Storage Costs: Duplication of data led to unnecessary expenses.

  • Limited Collaboration: Teams worked in silos, making it difficult to achieve a unified view of the organisation's data.

Data Platform challenges
Created by ChatGPT

Challenges Faced

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