The optim*um service
- Using data, technology, algorithms and the right mindset to solve specific problems and challenges in a business.
- Enabling entire organizations to take an active lead in their digital development rather than simply reacting to the market and competition.
What makes *um better?
Our Data Science Team possesses extensive sector-spanning experience in big data processing and has unique expertise in the latest processes from the fields of artificial intelligence, deep/machine learning and real-time/predictive analytics. 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 understand all facets of a data project and can therefore guide our clients from the idea through to the finished data project. We support them in building their own competences in the areas of big data and data science. We are independent of any technologies and products and choose the best and most practical technologies for each specific client. We stay on the cutting edge of research and do not shy away from technical innovations.
Our Data Leadership Process Model is the holistic process model for digital transformation in organizations. It integrates all organizational and strategic aspects, and was developed from practical experience and is continually being put to the test. The model begins with “Data Thinking” and guarantees the realization of profoundly efficient big data projects and their integration into existing processes and environments.
Ideation & Scoping
In our ideation and scoping workshop we identify data science use cases step-by-step, assess their feasibility and prioritize them in respect of added value and expenditure.
Predictive Maintenance & Anomaly Detection
Repair systems before they break. Our data-based early forecast provides information on when machines and systems show anomalies, when they need to be serviced and which default probabilities they have.
Utilize the increased knowledge that algorithms and your data can provide.
Recommendation systems are an important component for digitalized companies, particularly in the e-commerce sector. We implement data science to provide companies with the foundation for more turnover and improved customer retention.
NLP & Text Mining
We use text mining and natural language processing (NLP) to teach machines to read texts and to understand language.
We open the eyes of machines and teach them to see and understand. Soon they will be able to recognize symbols, objects and faces.
Deep Learning is based on the technology of neural networks and enables machines and systems to learn autonomously.