Modelling and analytics

We all believe that data contains business value. But finding the business value in data is a big challenge. How do you transform raw data into real business value? We specialize in depicting and managing data from which we extract information that leads to business value. And we do that with a proven record.

Our Expertise

  • Data management
  • Business analytics
  • Statistical and economic modelling
  • Logistics – Performance measurement

We perceive data management as the core of modelling and analytics. We understand that data management is the key building block of modelling and analytics. If data lifecycle and management are not in place, modelling and analytics will not go as planned. We provide our customers the key steps to managing and maintaining their data. And not just any data, rather data that our customers can trust. We prepare you for the modelling and analytics phase.

Information is power. And business analytics is providing power to decision makers. We are helping our customers by empowering them with the right information at the right time, on time. We understand that picking the right information, at the right time, on time, directly refers to data availability, which is why we encourage our customers to start at the very beginning, with data management. There is a long way to go from data management to business analytics, but the results are breathtaking.

It is difficult to make predictions, especially about the future. EconLab can give you a heads up on what the future holds. Our team has vast experience in creating statistical and economic models that can be used to model the future dynamics of anything business-related. Our key advantage is understanding the business needs and realities behind the model. The combination of our business and technical skillset allows us to make the largest possible business impact, by modelling what matters in a manner that also suits the end users of the models. We also place a major emphasis on knowledge transfer, helping clients build intuition for what drives the model results, making the whole process of model application more robust.

Using our methodology, our team supported an introduction of KPIs into a large Slovene logistics holding company. More than 10 companies participated, all using the same approach. We helped all companies choose the correct KPIs, which are embedded in procedures and processes that support their achievements, in order to steer the business towards its intended direction.

Selected references

Short-term forecasting of renewable power plant production (micro, hydro and photo voltaic) using ARDL models. The model was built to encompass all the power plants in the country, on the basis of which the production volume was predicted.

Development and continuous updating of macroeconomic forecasts to support porfolio allocation decisions of a major insurance company.

Master data management introduction in order to establish best practices, policies, and procedures of data management. Preparing the customer for incorporating business analytics in the future.