Dataminds have years of experience with econometric models and predictive analyses that provide new insights, perspectives and, as a result, better decisions with our customers.

Business Analytics

When working with Business Analytics, we find it important to make sure that our solutions create new insights and a significant earning. Our goal with Business Analytics is to explain complex phenomena in your business and turn them into explanatory and clear information that you can use to optimise your business and its decision-making.

It is important for us to make a difference. Therefore, we ensure that our analyses can be distributed to all relevant agents across departments. This can be done through anything from decision-supporting reports and dashboards to integrated solutions that automates the decision-making- and planning processes of your business.

Advanced Analytics

Advanced Analytics is the complex and theoretically onerous discipline within Business Analytics that is used to find and explain unknown trends in a data set.

Advanced Analytics requires a deep understanding of various statistical methods to be able to use the right algorithms in different contexts. We use our experience gained from years of statistical modelling to get a deeper insight, create forecasts and generate unique recommendations.

We use a range of different tools and technologies when working with Advanced Analytics. However, we primarily use SQL to create a data model and RStudio and Phyton to implement our analysis.



Machine learning covers a group of methods in computer science and applied statistics. It consists of building algorithms that become better at their tasks based on the information they get.
We use different machine learning techniques to disclose patterns and structures that traditional, statistical methods are not able to uncover.
In every management decision, elements from forecasting are considered. Precise predictions of demand and trends are a necessity when modern firms are to navigate through seasonality, increased competition, falling prices and sudden fluctuations in economic trends or demand.
In Dataminds, we prepare our customers for the future. We identify the factors driving demand and in cooperation with you and we choose the forecasting method that suits your specific challenge, life cycle and available data foundation.
Keeping current customers is among the top priorities in many firms. To be able to do so, it is essential to understand the reasons behind customers’ deselection and to assess the risk associated with individual customers. Both are essential components in the design of a strategy to keep current customers.
We equip our customers with churn-tools that combine these elements and provide insight and output which drives decision-making across the business.
Scenario building is the conversion of current and prior tendencies and events into consequent descriptions of potential future situations together with identifying possible ways to reach them.
We identify possible scenarios and assist you with the transition from scenarios to plausible prognoses. We identify uncertainties, risks and limitations and in this way, we contribute to an improved, strategic development. In the latter, our focus is not only on the most plausible future but also on several more or less plausible alternatives.




Aarhus Municipality

Budget distribution model for Health and Care


Calculation of potential and implementation


Asset Management in SE Energy & Climate



We are always up for a non-committal talk, so do not hesitate to contact us.

Kim Lillesøe

Kim Lillesøe

Founder and Partner
+45 25161959
Kasper Pilman Kristensen

Kasper Pilman Kristensen

Consultant and Partner
+45 22121269



We are specialists in the areas of Business Intelligence, Analytics and Business Process Management. We combine strong competences within statistical analysis, data processing and IT, and we create intelligent solutions that support the decision-making processes of our customers.



Advanced Analytics, Machine Learning, Churn Modelling, predictive analyses, simulation, scenario building, forecasting, NPS. Read more
Process optimisation, data modelling, robotics, automation, implementation, integration, IT-solutions. Read more
Designing of BI setup, interaction between IT and humans, building of competences, resource management, performance management, process planning. Read more