Unified Data Platform That Improved Product Quality and Supply Chain Performance in Manufacturing Industry
Client
Berrak, West Africa
Sector
Manufacturing
Geography
West Africa
Services
Data Warehouse · Predictive Quality Analytics
Reduced
Defect rates — quality issues detected in-process, not after production runs.
Quality IntelligenceUnified
Single data foundation across all factories — production, QA, inventory and supply chain.
Platform ArchitectureIncreased
Inventory accuracy — eliminating stockouts and excess raw material simultaneously.
Supply Chain OutcomeThe Client
Berrak Manufacturing — a multi-factory West African consumer goods producer at a critical inflection point
Berrak Manufacturing Company Ltd is a leading producer of consumer goods and industrial materials with multiple factories across West Africa.
The company manages thousands of SKUs, complex production lines, and fast-moving supply chain operations. As competition intensified and production volumes grew, Berrak needed deeper, faster insights to strengthen product quality, optimise production efficiency, and improve inventory accuracy.
The Challenge
Four source systems. Zero unified view. Decisions made in the dark.
Company data existed in separate data sources, slowing down reporting and creating frequent ETL breakdowns. Quality issues were often detected too late, stock levels were unreliable, and supply chain decisions were based on incomplete information.
Without real-time visibility, Berrak Manufacturing struggled to reduce defects, manage raw materials efficiently, and identify where performance depreciated across its factories.
Quality issues were often detected too late, stock levels were unreliable, and supply chain decisions were based on incomplete information.
The Goal
One data foundation. Real-time insight. Predictive quality intelligence across every factory.
The goal was to build a unified and scalable data foundation that could deliver real-time insight across production, quality assurance, and supply chain operations. The objective was to modernise ETL pipelines, centralise all operational data, and enable predictive analytics that would drive product optimisation and operational excellence.
The Solution
A centralised manufacturing intelligence platform — built for real-time, built for scale
A centralised manufacturing data warehouse was designed to integrate with all data sources. Modern automated ETL pipelines were structured, enabling near real-time data refresh and drastically improving reliability. Predictive quality analytics highlighted defect trends early, while unified inventory and supply chain models improved stock accuracy.
Production Intelligence
Real-time dashboards tracking throughput, machine performance, downtime events, and production line efficiency across every factory — enabling operations managers to see exactly what is happening and why.
Predictive Quality Analytics
Defect trend models identifying quality degradation patterns in-process — before batches complete — enabling quality teams to intervene during production rather than discovering failures after the fact.
Supply Chain Intelligence
Unified inventory models connecting raw material levels, consumption rates, production schedules, and supplier lead times — eliminating the simultaneous stockout and excess inventory problem permanently.
The Result
Real-time intelligence across every factory. The strongest ETL result in the Delovox portfolio.
ETL speed improved by over 90%, ensuring timely updates across production and quality data. Defect rates dropped as issues were detected earlier, downtime decreased due to clearer process insights, and inventory accuracy rose significantly.
With real-time intelligence and unified decision-making tools, Berrak Manufacturing strengthened production efficiency, improved quality control, and enhanced supply chain performance.
Near-real-time data refresh across production and quality systems meant dashboards reflected current reality, not yesterday's snapshot. Every operational decision downstream of the data became faster and more accurate as a result.
The economics of quality management shifted: the cost of a prevented defect is a fraction of the cost of a batch rejection, and the reputational cost of a customer-facing product failure is orders of magnitude higher still.
Real-time production floor data consolidated into a single view — operations managers could identify the early signals of equipment degradation and process drift before they translated into unplanned stoppages, reducing the downtime that had previously been accepted as an unavoidable cost of operations.
Eliminating both stockouts and excess material simultaneously by connecting raw material levels to actual production schedules and consumption rates in real time. The working capital previously locked in excess stock was released; the production stoppages caused by stockouts were prevented.
What our clients say
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