The optim*um service
- Data processing in order to convert raw data into structured data (data consolidation)
- Cleaning data through methods including deduplication and the treatment of invalid, missing or wrongly formatted values (data cleaning)
- Analyzing and modeling data (data wrangling)
- Complexity varies depending on the types of data sources
What makes *um better?
Regardless of whether data sources are internal or external, we support our clients in selecting, connecting and managing them. We can implement customized connectors to all accessible data sources. Our data engineer experts can provide guidance in the technical implementation of highly scalable and powerful data storage, as well as offer advice in handling heterogeneous data. In addition, during the data processing stage we help our clients to unearth the hidden potential within their data.
Our Big Data Team possesses extensive sector-spanning experience in the field of data science, data processing and data cleaning. With a mix of mathematicians, psychologists, physicists and computer scientists, the team is able to examine the various facets of a data problem from a wide range of angles. We stay on the cutting edge of research and do not shy away from technical innovations.