Digitalization in the pharmaceutical industry: how an ERP system helps

Benefits in the supply chain and inventory management

An ERP system allows you to track products from reception to distribution. This simplifies inventory management and reduces the risk of human errors, ensuring the constant availability of medicines. By automating logistics processes, you will be able to quickly identify bottlenecks and reduce operational costs.

Importance of security and compliance

ERP platforms include advanced security features such as data encryption and access control to protect sensitive information. It also facilitates compliance with strict industry regulations by automating reporting and monitoring processes. Thus, the risk of sanctions is minimized and the company’s reputation is protected.

Role in research and development

An ERP can optimize research and development processes, allowing for more efficient data and resource management. The integration of clinical trial information and human resources improves collaboration between teams and accelerates the development cycle of new products.

In conclusion, implementing an ERP system in the pharmaceutical industry helps you increase efficiency, quickly adapt to market requirements and ensure a transparent and responsible work environment.

Read the article on agerpres.ro

Income tax in Romania – calculation, terms and tax obligations

The profit tax is a direct tax owed by legal entities that obtain profit from economic activities carried out in Romania. It is calculated on the fiscal result, determined according to the rules provided by the Fiscal Code, and involves clear obligations of calculation, declaration and payment.

Copilot and Power BI in data-based predictive analysis

The increase in the volume of available data has led to a sharp need for advanced analysis and rapid interpretation. The Microsoft Power BI integration with Microsoft Copilot brings additional predictive analysis capabilities, supporting the interpretation of complex data sets and formulating relevant estimates for planning and control.

Power BI and Artificial Intelligence in Predictive Data Analysis

Data analysis has evolved from static reporting to advanced interpretation and prediction. By using Microsoft Power BI along with artificial intelligence, organizations can gain relevant insights into performance and anticipate trends based on existing data. The article presents the role of these technologies in predictive analysis, decision automation and the challenges associated with their use.