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Seamless Migration for a Global F&B Giant

Overview

Our customer, a renowned Food and Beverages giant operating in over 200 countries, faced operational challenges within their $79 billion business. With a sprawling data lake serving multiple environments, performance issues and data security risks necessitated a significant transformation. The goal was to establish new environments for development and production, ensuring better governance, release management, resolving performance bottlenecks, and achieving rapid development cycles, and providing enough redundancy.

The Challenge

The program was challenges as the environment was a complex one fed from multiple data sources and training and running models that had no maintenance teams. The insights and forecasts were feeding marketing decisions downstream of several retail stores. Hence no there could be no interruption of service. No development teams remained in the organization as the ML models were deployed a long time ago. 

Technology Steps

The company undertook the following steps to build the new environment:

01.

Optimizing Resource Setup

05.

Migration of BI reports

02.

Migration of Data

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06.

Set up of CI/CD pipelines and processes

​03.

Re-Engineering ADF pipelines - Ingestion, Curation

07.

End to End Testing

04.

Migration of ML models

Black Metal

Results and Benefits

What customers appreciated

01

Before Time 

The entire migration was completed before time to afford the customer the ability to meet its timelines for license cost savings

03

Meeting the Goal

The Goal of multi-environment for development, staging and production was met with all processes and governance requirements met. Decreasing the risk to almost zero of interruption of any business service

02

Problem Solving for AI/ML modules

Even without the original teams unavailable - Sentient was able to reverse engineer and fix all issues related to ML modules and provisioning of the insights

04

Robust well Tested Environment

All modules functioned and performed with the same baselines as expected. 

In conclusion, the customer reached his data platforming goals with our high performance technology teams before time, and with predictable results in a high visibility and impact business process.

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