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Case Study Pharmaceutical Data & AI Power BI

Pharmaceutical Manufacturer Migrates from Qlik to Power BI
for Enhanced Reporting and Cost Efficiency

Client
Global Pharmaceutical Manufacturer
Industry
Pharmaceutical
Location
South Africa
Solution
Qlik to Power BI Migration
Reach
Operations in 115+ Countries

The Requirement

The client's Qlik Sense BI environment was no longer fit for purpose, burdened by high licence costs, proprietary QVD files incompatible outside Qlik, and limited integration with the organisation's Microsoft Azure data platforms.

The Solution

Following a Cloud Readiness Assessment, Decision Inc. led the full platform migration from Qlik to Power BI, migrating the QVD data layer to SQL, replicating all business logic, and delivering a new Power BI application for supply chain visibility.

The Impact

Modernising the platform and aligning it with the client's existing cloud architecture reduced BI licence costs, improved agility and scalability, and unlocked native Python and R analytics without additional tooling fees.

01 · The Client

A Global Pharmaceutical Manufacturer

The client is a global pharmaceutical manufacturer with operations in over 115 countries, producing and distributing post-patent, branded medicines across both hospital and consumer markets.

In South Africa, they manage the movement of stock from depots to healthcare facilities across multiple provinces, including Gauteng, Eastern Cape, Western Cape, and KwaZulu-Natal. This is a critical process that relies heavily on accurate, real-time reporting to maintain service delivery to the healthcare sector.

Pharmaceutical Manufacturing
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02 · The Requirement

A BI Environment No Longer Fit for Purpose

The client's existing business intelligence environment, built on Qlik Sense, had reached its limits. As the organisation's data strategy evolved towards Microsoft Azure, the Qlik platform created mounting technical and financial friction.

  • High Qlik licence costs creating significant and ongoing financial pressure on the business
  • Proprietary QVD files that could only be read within the Qlik ecosystem, limiting data portability
  • Mixed data maturity levels across the user base, requiring extensive support and training overhead
  • Limited integration with the organisation's Microsoft Azure data platforms and broader cloud strategy
  • Insufficient visibility of stock movement between depots and healthcare facilities across four provinces, directly impacting service delivery
03 · The Solution

Migrating from Qlik to Microsoft Power BI

Following a successful Cloud Readiness Assessment, the client engaged Decision Inc. to lead the full platform migration. The objective was to modernise the BI environment and reduce licensing costs by transitioning to Power BI, while ensuring all existing business logic and reporting requirements were preserved and improved upon.

A proof of concept was delivered at the outset, replicating a complex Qlik model in Power BI to build internal confidence and drive adoption. The delivery approach was collaborative: the client's team handled SQL development while Decision Inc. focused on Power BI design and implementation.

Data Layer Migration

Migration of the QVD data layer into SQL databases to enable full Power BI compatibility and eliminate dependency on Qlik's proprietary file format.

Business Logic Replication

All business logic and transformation processes replicated using SQL Server Integration Services (SSIS), ensuring no reporting functionality was lost in the transition.

Data Model Development

A robust data model was built integrating multiple sources and supporting new reporting requirements, including stock movement across provinces and healthcare facilities.

Power BI Application

Delivery of a Power BI application providing visibility into order fulfilment, supply chain metrics, and stock movement between depots and healthcare facilities.

04 · The Implementation

A Structured, Phased Approach

The project followed a disciplined, phased delivery methodology that ensured quality at every stage, from initial data mapping through to final dashboard design. Several data quality challenges were identified and resolved during implementation.

Delivery Phases

  1. Requirements analysis and data mapping
  2. Evaluation of existing data structures and table design
  3. SSIS package development for data ingestion
  4. BI model development and dashboard design

Data Quality Challenges Resolved

  • Missing order numbers addressed using invoice numbers as proxies to maintain reporting continuity
  • Inconsistent product codes standardised through transformation logic applied during ingestion
  • Varying formats in historical data files resolved via a merge process to unify differently structured records
05 · The Outcome

Measurable Results

By modernising the platform and aligning it with the client's existing cloud architecture, the project not only reduced costs but also improved agility, scalability, and the long-term sustainability of business reporting across the organisation.

Reduced BI licence costs through the shift from Qlik Sense to Power BI, delivering immediate and ongoing financial savings.

Seamless integration with Microsoft Azure, supporting the client's broader cloud data strategy and eliminating the previous disconnect between BI and data infrastructure.

Improved user adoption and self-service capability, driven by Power BI's familiar, Excel-like interface that reduced the support burden across varying data maturity levels.

Access to native Python and R for embedded advanced analytics without additional tools or licensing fees, unlocking future analytical capability at no extra cost.

  • Full migration of QVD data layer to SQL, eliminating Qlik's proprietary data format dependency
  • All business logic and transformation processes preserved and improved using SSIS
  • Real-time stock movement visibility across Gauteng, Eastern Cape, Western Cape, and KwaZulu-Natal
  • Proof of concept delivered upfront to build stakeholder confidence before full rollout
  • Collaborative delivery model successfully bridged client SQL development and Decision Inc. Power BI expertise
Pharma Power BI Outcome
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