Formerly known as “Applied Statistics” we now operate under the name “TÜV AUSTRIA Data Intelligence” being the newest member of TÜV AUSTRIA Group.
We will continue to support customers and partners by building analytics software and AI solutions. According to TÜV quality standards we also support AI testing and certification.
HOW WE WORK
Following our core values "Understand, Analyse, Implement", we create innovative solutions together with our clients.
UNDERSTAND
We take the time to understand the needs and challenges of our customers and to identify potential through intelligent data solutions.
Together we develop use cases and business cases as a basis for the targeted implementation of data solutions with value.
ANALYSE
We work hand in hand with your experts to implement your requirements. We collect the “right” data, investigate data trends, extract key performance indicators (KPIs) and finally create prediction models that support you in developing your business values. For us, feedback from our clients is an essential part of the analysis phase.
Through many years of close cooperation with universities, we use state-of-the-art techniques that combine statistical and mathematical inference with modern machine learning algorithms.
IMPLEMENT
Creating models is only half the battle. We follow a flexible and iterative development process to integrate our models and insights into our clients’ data infrastructure.
By collaborating with R&D institutes and technology partners, we can offer all-encompassing solutions from data acquisition to sensor arrays and fully automated decision support.
We focus on accessible, intuitive and convenient interfaces and applications that visualise key findings in interactive dashboards.
With cutting-edge quality
Artificial Intelligence (AI) is a key technology of the 21st century. Whether in daily life or in industry: interaction with artificial intelligences is advancing, existing technical applications are to become more intelligent through analytical components.
However, data projects are often more complex than they first appear. Early decisions on methods, scalability and security often have long-term consequences.
For us, the focus is on making a significant contribution to the value creation of our customers and partners. On the one hand, successful intelligent data applications support the performance and future security of customers and partners; on the other hand, TÜV AUSTRIA Data Intelligence works together with its customers and partners to develop future-oriented data infrastructures that are geared towards growing data volumes. This data-driven approach optimises customers’ processes and enables decisions to be made based on reliable data.
USEFUL, FUTURE-PROOF AND SECURE
We design and implement analytical data solutions, including the use of artificial intelligence, to digitally advance your business in informed decision-making and process efficiency. We collect data and develop data applications and analytical models for you, support you in building and optimising your data infrastructure and thus create sustainable optimisation potential.
CUSTOM FIT SOLUTIONS
We support you in all phases of smart data projects: In planning, implementation, testing and certification.
As a service provider for data-based optimisation, we have streamlined numerous business areas, such as operations and maintenance of machines and plants, production and quality management, health, safety and environment (HSE), information technology and operations technology, eCommerce, as well as marketing and sales. We also offer industry-specific solutions and know-how for railways and logistics, energy suppliers and the process industry.
The service portfolio includes data engineering, data science, machine learning and other tools and methods for optimisation and quality assurance. Relevant service areas are Data Lake & Data Warehouse, Data Analytics & Statistics, Business Intelligence & Decision Support, Predictive Maintenance, Software & AI Solutions and Production Optimisation.
Data Warehouse and Data Lake
- Data Preparation & ETL
- Data Engineering & DataOps
- Cloud Computing
- Analysis and optimisation of data quality
Applied Statistics
- Statistical analysis
- Visualisation of data and key figures
- Tests (A/B, hypotheses, etc.)
- Data mining
Machine Learning and Artificial Intelligence
- Data Science
- Predictive Analytics
- Recommendation systems
- Intelligent automation
Predictive Maintenance
- Condition monitoring for machines and entire plants
- Error analysis and prediction
- Maintenance optimisation
Optimising product quality and production
- Production monitoring in real time
- Prediction of expected product quality
- Recommender systems for production optimisation
Data Intelligence in Health, Safety and Environment (HSE)
- Analyses of plant safety
- Automated testing
- Analyses of the effectiveness of measures such as training
- Automation of processes incl. implementation of legal requirements
Process industry and chemistry
- Automated and semi-automated optimisation in plant operation and maintenance
- Analyses and intelligent automation in waste management
- Analysis of safety risks and measures to prevent accidents
Energy
- Customer analytics (customer segmentation, churn, pricing)
- Forecasting models for production and maintenance
- Forecast models for energy trading
- Research & development in the field of photovoltaics
Railways and logistics
- Logistics and operational planning (analyses and automation of route search and planning)
- Production and maintenance (digital twin, forecasting for capacity planning, automation asset management)
- Strategic planning (analysis for additional services)
REFERENCES
We have provided business solutions for a range of clients, including:












MEET THE TEAM
Our interdisciplinary team consists of a group of highly qualified statisticians, mathematicians and computer scientists. We are active participants in the scientific community. As a result, we are always informed about the latest developments and discoveries in the fields of data engineering and data science and actively implement them.

Dr. Thomas Ortner
General
Manager

Dr. Irene Ortner
Lead Data
Scientist

Ing. DI (FH) Martin Hofstädtner, MBA
GENERAL
MANAGER

DI Alexander Zeppelzauer
General
Manager

Dr. Georg Droschl
HEAD OF
DIGITAL BUSINESS
& ANALYTICS

Prof. Dr. Peter Filzmoser
External
Advisor

Dr. Natalie Vollert
Senior Data
Scientist

Viraj Sonagara, MCA
Full Stack
Developer

Barbara Brune, MSc
Data
Scientist

Dr. Sarka Grubner
Data
Scientist

Janine Gogan
Development
Assistant

Dr. Tanja Maier
Data
Scientist

Florian Conrad, MSc
Data
Scientist

Mag. Xaver-Paul Stadlbauer
Data
Scientist

Mahdi Kourehpaz, MSc
Data
Engineer

Friedemann Zindler, MSc
Data
Scientist
OUR LONGTERM PARTNERSHIPS
connects highly qualified consultants with companies for external support.
supports you in creating your digital strategy from ideation to employee coaching.
15 years of experience in supporting company operations with IT solutions.