Data Science
Our approach
At Dataminds, we help companies make better and faster decisions based on data. We have built a number of Machine Learning products to solve business problems such as Churn analysis, Forecasting, Market Sizing and Pricing.
We help our customers with: • A strategic approach to Data Science
- Building processes
- Orchestrating tools
- Solving business problems with Data Science
- Operation and maintenance of models
We always use a cost-benefit approach to problem solving based on a trade-off between value creation, complexity, and costs.
"Dataminds gave us something we have not had before. They gave us a better insight into the possibilities of statistic modelling and how it was able to improve our forecasting processes with the help of statistical analysis of large amounts of data. Their experience with many different industries was also interesting because it challenged our usual ways of working."
Danfoss
Mads Pinnerup, Vice President, Business Support
"Today, the tool runs with automatically updated leads which ensures a fast delivery to the sellers. In addition, the tool has passed a "proof of concept". Lead generation is therefore being expanded to SAP CRM and not just as an Excel dashboard solution. ”
Grundfos
Jesper Olesen, Manager, Sales & Pricing Exellence
Strategic cost-benefit approach ensures success
Overview
Priority
Show value
Show value, implement, and scale
Proof of concept
• Quantify improvements and quality
• Document the value
• Recommendation and roadmap
Implementation
• Setup and integration
• Testing the solution
• Optimization and troubleshooting of the solution
• Monitoring and planning
Operation and scaling
• Everything can be built in our platform BIG