Coca-Cola Peninsula Beverages

Improving data and analytics efficiency with logical data fabric

Testimonials

Bernhard Mcgregor
"The Denodo Platform enabled us to better understand how data is being used within our organization, which helped us to identify similar data sets being used across multiple departments. Leveraging the Denodo Platform has removed the need to reconcile data across those different departments and has also sped up the turnaround time for making this data available, by introducing automation."
Bernhard Mcgregor BI Manager

Coca-Cola Peninsula Beverages is a provincial soft drink bottling operation that holds the rights to manufacture and distribute the products of the Coca-Cola Company within the Western and Northern Cape provinces of South Africa.

Logical Data Fabric at Peninsula Beverages

As business grew over the years, Coca-Cola Peninsula Beverages implemented a number of systems and tools to assist in various business processes, resulting in multiple disparate data sources in various locations (physical and virtual), which required lengthy and costly extract, transform, and load (ETL) solutions and extensive manual workarounds to extract meaningful information and reconcile data to the company’s ERP systems. To unlock the value from its vast data sources, Peninsula Beverages needed fast, user-friendly data access to integrate and report on data from various sources, and this prompted Peninsula Beverages to implement a logical data fabric using the Denodo Platform to combine and connect to a variety of the company’s data sources. Through the Denodo Platform, more ready-to-consume information is available than ever before, and development times for complex reporting have been slashed. Coca-Cola Peninsula Beverages now has a “one-stop shop” for all data needs, regardless of the data source or the required output.

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개요

Coca-Cola Peninsula Beverages

At a glance

Massively reduced data processing time, from 8 hours daily to 30 minutes per month.

Simplified data integration by eliminating complex extraction processes from ERP systems, and integrating that data with other data.

Automated complex reporting, replacing labor-intensive manual processes.