Predictive analytics enables forecasting of a target value based on a model that has been trained on historical data, mostly in the form of time series.
Utilize the increased knowledge that algorithms and your
data can provide.
Why Basefarm?
We believe there is no such thing as a ready-made solution. We work together with our clients to find the right solution for them, whether that is B2C or B2B. Based on the company and economic data of the client, we implement data analysis processes to detect hidden patterns and relationships. In addition, we collaborate with our clients to identify and tap into new, helpful data sources from outside of the company. We consider and analyze all the data with a view to providing clients with a better understanding of their own processes and their market environment.
Our Big Data Team possesses extensive sector-spanning experience in the field of data science and machine learning. With a mix of mathematicians, psychologists, physicists and computer scientists, the team is able to examine the various facets of a data challenge from a wide range of angles. We stay on the cutting edge of research and do not shy away from technical innovations.
Big data Blog
CASE STUDY:
DATA THINKING
AT C-LEVEL
- Project: Capability assessment and development of a data maturity roadmap for an international retail holding
- Approach: Workshops and individual interviews with business units and IT;
“ There are no best practices out there
– just practices to learn from and get inspired by.”
– Florian Dohmann, Senior Data Scientist
- Capability Assessment – unique model for the evaluation and analysis of operational and organizational skills and competencies within a company (data, algorithms, technology, mindset), fit gap analyses, determination of key insights and recommended actions
- Results: Identification and prioritization of recommended actions, data maturity roadmap (planned for 24 months)