Semantic model: a new level of convenience in analytics for pharmaceutical companies

Proxima Research continues to develop the Market Audit of Ukraine product and introduces modern solutions to ensure that clients work with analytical data in a simple and efficient way. One of these solutions is access to the semantic model in Power BI. Let’s discuss what it means and why it is important below.

What is a semantic model and why is it useful?

A semantic model is a data structure that organizes and systemises information for easy data analysis in Power BI. It allows analysts to quickly find the data they need, process it, and gain valuable insights for decision-making. Using the semantic model, you can customise individual reports, integrate data into internal corporate reports, and perform analysis without the need to create preliminary visualisations or complex reports, which saves time and resources.

The main advantage of the semantic model is its unified structure and data organisation. All working fields are presented according to a single logic and clear naming scheme, without the use of specific technical attributes. Important elements such as brand, packaging, or unit of measurement are presented in an accessible and logical format. This greatly facilitates the work of analysts, allowing them to focus on analysing information rather than organising or searching for it

How does this work in practice?

On the part of our product, we have worked to create a data structure that meets the highest standards. The data is uploaded as files that clients can access at any time. The process of updating the data is started automatically on the client side. This ensures the continuity and relevance of information.

For example, thanks to the semantic model, pharmaceutical companies can:

• quickly analyse sales or turnover data;
• integrate data into internal systems and create personalised customised reports based on the company’s specific needs;
• simplify the data processing process through a streamlined structure and clear field names.

This approach helps to optimise analysts’ workflows and increase the efficiency of data-driven decision-making.

Access to the semantic model is one of the key advantages of Power BI, as it allows you to easily integrate data from different sources and work with it without the need for deep technical knowledge.

What does this mean for customers?

A semantic model is a powerful tool that allows pharmaceutical analysts to obtain accurate, understandable, and relevant data in the shortest possible time. As a result, analytics-based decisions are made faster, which means that the company can respond quickly to market changes.

The Audit Market Ukraine team continues to work on improving our products to ensure that each user receives the most convenient and functional tool for analyzing the pharmaceutical market of Ukraine. Updates are already available, and we are confident that this will be another step towards simplifying your analytics!

For more information, contact a manager at Proxima Research.

Contact Us