Unifying Databases for a Top Food Distribution Enterprise to Speed Up Payments by 2X

Food Manufacturing and Distribution

Data and Analytics

A leading food distribution enterprise struggled with fragmented financial and operational data spread across ERP systems, internal tools, and file repositories. This fragmentation slowed down reporting cycles and delayed payment processing. To address this problem, a cloud-based data platform was built to centralize and transform data into a unified analytics environment.

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Challenge

Solution

The Outcome

The Challenge

The enterprise needed to resolve major delays caused by disconnected data systems and manual reporting workflows.

Fragmented Data Environment‍

Essential business data was spread across systems like NetSuite ERP and SharePoint, stored in inconsistent formats. This setup made it difficult to generate a single view of financial and operational performance.

Manual Reporting Delays

‍Data extraction and reporting processes were heavily manual, time-consuming, and prone to errors. These delays directly impacted financial accuracy and slowed down payment processing timelines.

The Solution

We built a centralized cloud data platform to unify data sources, automate processing, and create an expandable analytics base for financial operations.

Centralized Data Connection

‍Automated ingestion workflows using Python and Spark connected data from NetSuite, SharePoint, and internal systems into a single environment.

Expandable Data Storage

‍Azure Data Lake Storage (ADLS Gen2) was used to store raw, processed, and curated datasets in structured formats for quick access.

Automated Data Processing

‍Databricks and Azure Synapse transformed raw data into analytics-ready formats, lowering dependency on manual workflows.

Real-Time Business Insights

‍Power BI dashboards were built on curated datasets to deliver real-time visibility into financial and operational metrics.

Data Governance Framework

‍Azure Purview was configured to maintain data lineage, governance, and consistency across reporting environments.

The Outcome

The enterprise is now able to operate with a unified data base that improves financial accuracy and accelerates reporting cycles. Automated workflows and centralized datasets have significantly shortened delays in payment processing and improved decision-making speed.

The enterprise was able to speed up payments by 2X with automated data workflows and structured data models.

100% Data Centralization by combining data in Azure Data Lake and Synapse, the enterprise now has a single centralized repository for analytics.

Near Real-Time Insights by using Power BI dashboards deliver near real-time insights into key business metrics to make quicker and more informed decisions.

We have been working with Entrans for the last two years and they have played a key role in building our solution. Their expertise and professionalism were evident throughout the development cycle, and we were very pleased with the final product. They have shown enormous skill and vast domain knowledge and their IT expertise is reliable and trustworthy. We would recommend Entrans for anyone looking for quality IT services, delivered in a professional manner

Nikolay Prokopiev

Chief Executive Officer

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