“Today’s economy runs on data. Tomorrow’s economy will run on algorithms. We guide our clients to access more data and develop more sophisticated algorithms in order to unlock their full potential.”
Data Science
Beyond the
Human Reach
Data Science combines specific domain knowledge with sophisticated tools from mathematics and IT. Together with our clients we apply this powerful mix to generate new insights and automated analyses that reach beyond human capabilities.
How We See Data Science
We regard Data Science as an interdisciplinary approach to reveal insights from data by combining three fields of expertise: Mathematics, Computer Science and industry expertise.
Data
Science
Mathematics
Mathematics: Artificial Intelligence,
Machine Learning,
Statistics
Industry
Expertise
Industry Expertise: Banking
Asset Management
Insurance, Energy
Stock Exchanges
Mobility
Computer Science
Computer Science: Data Management,
Software Development,
IT Infrastructure
How You Benefit
Research by technology specialists at Vanson Bourne shows that companies put less than 15% of their data to business-relevant use. We enable our clients to increase this share and exploit their data to various ends:
Use Predictive Maintenance
Analyse component wear and fleet usage to avoid downtimes of mobile assets in logistics.
Success Story: Mobility ›Apply Machine Learning
Make automated buy and sell decisions in energy trading to increase profits.
Success Story: Energy ›Develop Fraud Detection
Scrutinise large numbers of images and videos to improve assessments of insurance claims.
Exploit the Potential of AI
Employ an adaptive strategy that gains real time market insights to maximise portfolio returns.
What We Offer
Our approach to Data Science is business-centric. So rather than solely relying on prefabricated models, we put strong emphasis on analysing your use cases and tailor relevant models to the identified requirements. When bringing these models into production, seamless integration into your existing IT landscape is paramount to us. In particular, we maintain a vendor-independent viewpoint and consult our clients on solutions that work best with their architecture.
Exploratory
Workshop
We assess preliminary questions regarding your data and your business models.
Time-frame
4-8 hrs
Innovation
Sprint
We explore a dedicated data set containing information gathered from your systems.
Time-frame
> 2 dys
Analytics
Engineering
We support you in specifying, designing and implementing models for your use cases.
Time-frame
> 2 mths
Where We Excel
To apply our knowhow in Data Science, we rely on a broad spectrum of methodologies and skills:
Data Science
Mathematics
Statistical Inference
Forecasting
Statistical Testing
Regression
Classification
Deep Learning
Mathematical Optimisation
Neural Networks
Pattern Recognition
Computer Science
Containerisation
Data Lakes
Cloud Computing
Time Series Databases
Relational Databases
SQL
Virtual Infrastructure
Generative AI
Large Language Models
RAG Architectures
Agent Frameworks
Prompt-Engineering Process
Model-Fine Tuning
Inference-Interfaces
Multi Modal Models
Vector Databases
Industry Expertise
Business Understanding
Services
Assets
Clients
Markets
Products
Business Processes
Selected Project Skills
Business Analysis
Communication
Requirements Engineering
Stakeholder Management
Testing
How to Get in Touch
We love exchanging ideas with you, so do feel free to reach out!
