There are 3 Companies in Serbia
that provide Data Analysis Services!

Serbia’s possible entrance into the EU will be a key driver of ICT growth, facilitating increased trade between European markets. Over the next years, the process of EU convergence, which still has far to go, will drive spending on IT projects. Funds such as the EU Cohesion fund are already providing funding for IT projects related to modernization initiatives in both public and business segments. As the government remains the major investor in ICT in Serbia

The combined government sector also remains the largest spender on IT products and services, unsurprising bearing in mind that the state still owns a wide range of companies across sectors like transport, telecoms, oil and gas, and insurance. Despite all the difficulties, the ICT sector in Serbia is one of the best sectors of the Serbian economy, especially since a large part of it is focused on exports. The ICT sector in Serbia has annual revenues of around 2,54 B Euros

Why working with Serbian IT companies

IT companies from Serbia are relatively new to the market and rely on the already existing infrastructure when providing web & software services and solutions to the local and international markets. Based on a report of Belgian company ”Wallonia”, Serbian IT companies managed to implement the newest IT standards and are specialized in the subsector of software development more than the web, and cloud computing. 

The choice is based on local market demand, as 45% of products and services provided by Serbian IT companies are sold to the government and implemented in the local public sector, which is supposed to increase the digitalization rate of the country overall. Nonetheless, some other 55% of IT services are designed for regional export and are considered a part of the regional IT backbone in the western Balkans. 

What to pay attention to when working with Serbian IT companies

It is important to know that most Serbian IT companies were at the startup phase in 2013, and this makes them new and probably inexperienced in providing competitive services on the global IT market. However, working with Serbian IT companies may be an interesting experience after all. 

How reliable are Serbian IT companies

Serbian IT companies are at an early stage of creating their reputation on the global market. Since not so many IT companies located in  Serbia managed to highlight their performance, it is challenging to relate to how reliable they are.  But taking into account that in the XXI century all companies have a chance to create a name for themselves, most probably Serbian IT companies will manage to break the ice, and why not - make out of their country an important regional IT hub. 

How well does the Serbian IT industry relate to the neighboring countries?

On the regional background, the Serbian IT industry is neither a shiny country nor an underdeveloped IT environment. But is one of the promising destinations for international clients and foreign companies ready to invest or work with Serbian IT companies and bring the entire region closer to what the Western-European IT industry is. 

Data analysis services help businesses make sense of their data. They collect, clean, and analyze data to uncover valuable insights, patterns, and trends that can inform decision-making and strategy.

More than 644 verified and trusted IT companies specialize in providing data analysis services. These companies offer a range of expertise, from data scientists to data engineers. Notable IT companies in this field include IBM, Deloitte, and Accenture.

Data analysis service providers use various tools and technologies to work with data effectively. Commonly used tools include statistical software like R and Python, data visualization tools like Tableau and Power BI, and big data platforms such as Hadoop and Spark. Cloud computing platforms like AWS and Azure are also popular for data storage and analysis.

Data analysis services are often part of a broader range of data-related services, including:

• Data Visualization: Creating graphical representations of data for better understanding.

• Business Intelligence: Developing dashboards and reporting systems for data-driven decision-making.

• Predictive Analytics: Forecasting future trends and outcomes based on historical data.

• Data Engineering: Building data pipelines and infrastructure for data storage and retrieval.

• Machine Learning and AI: Leveraging advanced algorithms to automate data analysis and predictions.

Selecting the right IT company for data analysis services involves considering factors like the company's experience, domain expertise, client references, and the range of services they offer. Look for a company that aligns with your specific data analysis needs, whether it's for business intelligence, marketing, finance, or any other domain.

Data analysis service providers are essential for various projects, including:

• Market Research: Analyzing customer behavior and market trends.

• Financial Analysis: Assessing investment opportunities and managing risks.

• Healthcare Analytics: Extracting insights from patient data for better healthcare outcomes.

• Supply Chain Optimization: Improving logistics and inventory management.

• Customer Insights: Understanding customer preferences and enhancing user experiences.

• Fraud Detection: Identifying unusual patterns in financial transactions.

Most of the times, these services are valuable for companies across industries, including but not limited only to:

• Retail: Analyzing sales data to optimize inventory and promotions.

• Finance: Managing investments, risk assessment, and fraud detection.

• Healthcare: Improving patient care, disease prediction, and drug discovery.

• Marketing: Enhancing customer targeting and campaign effectiveness.

• Manufacturing: Optimizing production processes and quality control.

• Technology: Utilizing data for product development and user experience enhancement.

Data analysis services can provide valuable insights, but it's crucial to have clear objectives and questions you want to answer with the data. Communicate your goals clearly with the service provider to ensure that the analysis aligns with your needs. Data privacy and security should also be a top consideration when sharing sensitive data with a service provider.