Developing a Business Intelligence System for a Russian Pharmaceutical Company

A large domestic pharmaceutical holding company is faced with the need to automate sales analysis and market position monitoring processes.

The purpose of the project

Creation of a single platform for a comprehensive analysis of sales performance and the competitive environment in the Russian pharmaceutical market. The key task was to develop a solution that allows you to track key metrics in real time and identify market trends.

Project implementation

Was integrated with the customer's existing OLAP infrastructure, which allowed the use of up-to-date data without changing the storage architecture. Based on an in-depth analysis of the company's business processes, a system of interactive Power BI dashboards with a custom design conforming to corporate standards has been developed.

The solution is based on a multi-level analytics system, including:

🔹Detailed monitoring of all types of sales (primary, secondary, tertiary)

🔹Deep ATX classification analytics with the ability to detail

🔹Comparative analysis by federal districts and regions of Russia

🔹Monitoring of positioning relative to key competitors

🔹Flexible filtering system by time periods and product groups

Key features of the solution

➡️ Intuitive interface and clear visualization

➡️ Automatic real-time data updates

➡️ The ability to drill down the data to the level of a single drug

Implementation results

✅ The implementation of the system allowed the customer to significantly improve the efficiency of business intelligence:

✅ Reduction of reporting time from several days to minutes

✅ The ability to quickly identify market trends and anomalies

✅ Optimization of resource planning and allocation processes

✅ Improving the validity of strategic decisions based on current data

The developed solution continues to evolve and scale, demonstrating the effectiveness of using modern BI-tools for the tasks of the Russian pharmaceutical industry.

Technology stack: Power BI, DAX, OLAP, Business Intelligence