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How GreenPharm Gained Full Operational Visibility with Databricks and Power BI

As GreenPharm expands its manufacturing capacity and serves a growing portfolio of nutritional brands across Europe, the requirement for real-time, fact-based decision-making has become critical. The company needed to move beyond fragmented reports, delayed analyses, and manual spreadsheets, and gain one consolidated and reliable view of its operations. To achieve this, GreenPharm partnered with Touch4IT to implement a modern data warehouse powered by Databricks and integrated Power BI reporting.

From Data to Better Decisions

Business Context and Challenge

GreenPharm operates several interconnected functions — production, supply chain, quality, finance, and commercial — all moving at high speed. As the organization scaled, leadership faced recurring challenges:

  • Financial reporting lagged behind operations
  • Margin visibility was incomplete at the time of decisions
  • Supplier reliability could not be quantified objectively
  • Inventory risk was seen only when it was already too late
  • Production meetings were driven by opinion instead of shared facts

Operating this way eventually introduces friction and risk. A growing manufacturing company cannot rely on local files and disconnected systems to control margins, deadlines, or capacity.

The Solution Architecture

In partnership with Touch4IT, GreenPharm implemented a centralized data warehouse on Databricks. This architecture integrates data from multiple internal systems and feeds a set of structured Power BI dashboards.

Key components include:

  • 1️⃣ Data Warehouse in Databricks
  • Unified, scalable storage of finance, sales, logistics and production data
  • Incremental data refresh ensuring up-to-date reporting
  • Historical trend tracking for forward-looking analysis
  • 2️⃣ Power BI Dashboards
  • Executive overview of margins, cash flow, and profitability
  • Supplier performance, pricing dynamics and on-time delivery
  • Inventory turnover, depletion risk, and expiry alerts
  • Production throughput, utilization, and deviation monitoring
  • Sales development and customer behavior analytics

The system is designed for daily use, not for quarterly reviews.

Operational Impact

The new data environment has changed how management and teams work:

  • Decisions based on verified facts
    Leadership discussions now start from a shared reality — not from multiple conflicting reports.
  • Earlier detection of risks
    Inventory issues, supplier failures, and production deviations are visible before they become disruptions.
  • Faster and cleaner planning cycles
    Forecasting, purchasing and pricing are now supported by continuous data, not periodic exports.
  • Improved internal accountability
    Performance of suppliers, products, and processes is now measurable — which drives improvement.

Strategic Value for Customers

For customers working with GreenPharm as a manufacturing partner, this implementation translates directly into higher control and reliability:

  • Stable margins enable long-term pricing discipline
  • Measured supplier performance improves continuity of supply
  • Inventory transparency reduces delays and shortages
  • Real-time production insight increases delivery predictability

In other words — the data layer is not a back-office upgrade. It is a structural capability that supports service quality.

Acknowledgement

The system was designed and implemented in cooperation with Touch4IT. Their ability to translate business requirements into a stable and scalable technical architecture was a key factor in achieving adoption across the company. We also recognize the contribution of the GreenPharm team, who integrated the dashboards into their daily work with speed and discipline.

For a fast-growing manufacturing business, data is not a separate IT initiative. It is part of the operating infrastructure of the company. By implementing a Databricks data warehouse and Power BI reporting with Touch4IT, GreenPharm now manages growth with transparency, speed, and precision instead of assumptions.


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