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Case Study: Pyramid Empowers Premier Foods

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Key Takeaways

⇨ Premier Foods improved business efficiency and productivity by switching to Pyramid Analytics for more flexible data sourcing, faster processing, and frequent reporting beyond their SAP-based system.

⇨ The Pyramid Analytics platform provided seamless integration with SAP BW and Amazon RedShift, enabling comprehensive data reporting and enhanced decision intelligence.

⇨ Premier Foods uses the Pyramid-AWS model to streamline ESG compliance and sustainability reporting, significantly reducing manual efforts and improving data integration.

Premier Foods is home to the UK’s most-loved food brands. Found in 93% of British households, it has over 4,000 employees and operates from 15 locations in the UK. To fulfill its data analytics requirements— just one of which is processing 25 million records a day—it relied on an SAP-based data analytics system for everything from supply chain to commercial functions and sustainability. However, lowered business efficiency and productivity, caused by a rigid system with limited visualization capabilities, led it to look for more flexible data sourcing, faster processing, and more frequent reporting. It also wanted to take advantage of more data science techniques than its extant system provided. Turning to AWS Partner Pyramid Analytics brought measurable increases in processing speed, deepened visibility, and resource savings, within a few months of implementing the solution.


The existing Premier Foods analytics BI tool relied to a great extent on spreadsheet-based reporting and outdated data warehousing. This caused several issues stemming from a lack of external data integration capabilities and built-in data visualization. A key challenge was the need for manual, offline reporting caused by a lack of access to updated master data. These factors impacted business directly by limiting and slowing BI. Additionally, compliance with the recent Environmental Social and Governance (ESG) legislation in the UK meant bringing together data sets that weren’t supported by its current system.


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