Building an Enterprise Data Platform and Analytics Capability for One of the Largest Coffee Producers

The Producer is one of the largest coffee producers and distributors in its market, operating an integrated value chain spanning sourcing, processing, manufacturing, and distribution across a wide retail and wholesale network. Data on production, sales, and distribution has historically been generated across multiple disconnected systems and business units.

• Fragmented data spread across disconnected systems, with no single source of truth for production, sales, and distribution data
• Limited enterprise-wide analytics capability, with most reporting done manually through spreadsheets
• Inconsistent data definitions and quality across business units, undermining trust in reported numbers
• No scalable platform architecture to support growing data volume and future analytics or AI use cases
• Slow turnaround on management reporting due to manual data consolidation

• Consumer goods companies with mature enterprise data platforms are able to make faster, more granular decisions on production planning, pricing, and distribution, a growing competitive differentiator in FMCG
• As product and channel complexity grows, manual data consolidation becomes an increasing operational drag and error risk
• A unified data platform is a prerequisite for advanced analytics and AI use cases such as demand forecasting, dynamic pricing, and route optimisation that are increasingly standard in the industry
• Absent a scalable platform, data quality and reporting speed continue to deteriorate as the business expands into new products, channels, and geographies

• Enterprise Data Architecture Blueprint
• Integrated Data Platform (Production, Sales, Distribution)
• Standardised Data Definitions & Quality Rules
• Management Analytics Dashboards
• Self-Service Reporting Capability
• Data Platform Adoption & Training Programme
• Phased Rollout Roadmap

60–70%

Reduction in time to produce management reports (approx.)

90%+

Core business data integrated into the enterprise platform (approx.)

15+

Source systems consolidated into the platform (approx.)

30–40%

Reduction in manual data reconciliation effort (approx.)

100%

Standardised data definitions across integrated business units

5+

Management dashboards deployed at launch (approx.)

The Producer now has a scalable data foundation and the analytical capability to make faster, more granular decisions, not just a faster reporting cycle. A single source of truth, self-service dashboards, and a data-driven culture taking hold give the business a platform to build increasingly advanced analytics and AI capabilities.