Latvian companies have not fully exploited the potential of data analytics
Jaunumi22. Nov. 2024

Latvian companies have not fully exploited the potential of data analytics

Data analytics has a huge potential, which most companies in Latvia are not using or have not mastered at all - it can significantly help in attracting new customers, resource efficiency and manual work optimisation. Current trends in the labour market and the business environment suggest that the ability to highlight and effectively present quality data will be increasingly valued in the future, making it stand out in the fast-paced information environment. It is therefore essential to invest now both in modern data analytics systems and in staff knowledge and competences.
 

Data-driven investment decisions

Data is one of the most powerful tools for competitiveness. However, it is important to note that simply analysing data will not give a company superior results - to stay one step ahead of the competition, it is important to use more advanced techniques that allow for forecasting and scenario analysis. This approach is less common in Latvia, but is actively used by international players in other parts of the world. Microsoft, for example, uses in-depth data analysis to develop different strategies to predict where it will be profitable to invest in the future.

Time-saving data analysis tools

Currently, the data analytics efforts of many Latvian companies most often involve the use of Microsoft Excel at a basic level. Some companies are also trying to learn business intelligence tools such as PowerBI, but only a relatively small minority, mostly large companies and start-ups, are also using more advanced methods, such as exploring data correlations and building correlations through machine learning.

Each company's capabilities in this area vary, so I recommend starting with the simplest - learning the latest features of the familiar Microsoft Excel. For example, few people know that it is equipped with artificial intelligence tools that analyse data and offer formulas for processing it, making everyday work much easier. I would also recommend various automation tools, such as Microsoft Power Automate, which save time spent on manual data processing.

Learn more
 
It is worth considering additional training to fully understand the principles of data analytics and to be able to apply them in practice. For example, by joining the training programme implemented by the Latvian Digital Accelerator, where participants learn a structured approach to data analytics, as well as up-to-date information on the latest solutions and how to implement them in their company's day-to-day operations. After filling in the application form, each company is supported by industry experts to develop an individualised roadmap and a specialised training offer that helps to integrate the newly acquired knowledge into practical work as quickly and efficiently as possible.
 
It is up to our own decisions and approach whether we base our company's growth plans primarily on a very narrow, personal vision or use data that offers a much broader perspective and growth opportunities. Managers and leaders who use data analysis intelligently - to streamline decision-making and management processes - will be more effective in the future. There is still room for growth in this area.
 
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By Rihards Garančs, Lecturer at Riga School of Economics
20 November , 2024 6.30
"Latvian companies have not yet fully exploited the potential of data analytics." More in: ir.lv, 20.11.2024
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Project "Development of digital skills for new products and technologies in Latvian companies" (Nr. 2.3.1.2.i.0/1/24/I/CFLA/002)
The European Union is not responsible for the content of the content.

Co-financed by the European Union project "Digital Accelerator of Latvia", DAoL, ID no. 101083718 and the European Union Recovery and Resilience Facility plan ID Nr. 2.2.1.1.i.0/1/23/I/CFLA/002.

Funded by the European Union and NextGenerationEU. However, the views and opinions expressed are solely those of the author(s) and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission is responsible for them.