Policymaking requires access to high-quality, relevant information. But how can critical data be identified amidst an ever-growing volume of content? This challenge prompted the Government Office of Estonia to commission STACC and TEXTA to develop a solution. The result: a prototype of a semantic search tool that enables civil servants to find information faster, easier,

How can a retailer identify the products that keep customers coming back? In collaboration with Coop Eesti, STACC developed a data-driven solution that offers customers personalized product discounts based on their preferences. Leveraging machine learning, we designed an innovative model that personalizes the shopping experience and strengthens customer loyalty. This solution is unique in Estonia,

In the quest for a cleaner, greener future, the ability to predict solar panel production allows us to manage energy balance more accurately and efficiently. In Estonia, solar energy contributes around 7% to total energy production in 2022, and the momentum is growing. As the world pivots towards sustainable solutions, accurately forecasting solar energy becomes

How do we know what’s happening beneath the soil without even touching it? The answer to this question is useful in many fields, especially farming and agronomy. Our data scientist, Lotta-Lorette, searched for the best answer in collaboration with the Estonian precision farming company eAgronom. Her work focused on soil temperature 5 cm below ground

I was nervous when I first embarked on my journey at STACC. Joining such a reputable company without professional experience in Python or large-scale, dynamic data pipelines felt like stepping into uncharted territory. However, my apprehensions were quickly dispelled as I experienced the warmth of the welcome, the thoroughness of the introduction, and the immediate

The recent Data Science seminar on Sustainable Development featured a presentation by our data scientist, Arko Kesküla, titled “Personalized Optimization in Electric Power Systems.” This presentation highlighted the integration of data science into energy management, offering potential enhancements in electricity consumption. The talk discussed advancements in the field and the possibilities for individuals and communities