Big Data
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Data Engineering & Analytics

Big Data. Data Science. Machine Learning, Artificial Intelligence, Digital Transformation. Scared by these buzzwords? We support you in identifying innovative data-driven solutions and analyzing their technical feasibility, acceptance, and operationalization.

Our Competence: Data Engineering & Analytics

Data engineering and analytics lead to long-term success in data-driven solutions, be it classical data analytics, Big Data, or Artificial Intelligence.

Autonomous driving, Industry 4.0, Internet of Things, and Big Data represent innovations that are empowered by software. Digital transformation leads to new challenges that must be mastered with regard to the development of data-driven solutions. Not only the technical processes, resp. the business processes, that are controlled in this manner are becoming more complex: Systems are also increasingly interconnected in networks in order to offer customers added value compared to stand-alone solutions. Digital transformation and system integration also result in the creation of completely new business models – for example based on Big Data Analytics.

Data engineers and analysts know how an organization needs to be set up in order to be able to address these challenges through systematic elicitation and smart analysis of data while creating information and customer value.

We pursue an empirical approach where we:

  • Identify improvement goals
  • Collect data about the corresponding processes or products
  • Operationalize data analysis approaches
  • Initiate improvement measures and analyze their effects

This is what Fraunhofer IESE offers you in the area of Data Analytics:

  • The right steps towards the digital transformation
  • Development of a data-driven strategy for your transformation project
  • Identification and operationalization of data-driven business cases
  • Analytics as a Service
  • First-hand knowledge of data science, including Machine Learning and Artificial Intelligence

In addition, we have the appropriate competencies and tools to help you identify usage scenarios that make sense, to systematically analyze your data, and to derive information from them or use them in the context of a data-driven solution.


Big Data Potential and Data Analytics

Measurement and Performance Indicators

Our Focal Areas


Data-driven Solutions

We help you to weigh the costs and benefits of data-driven solutions and to expand your product portfolio accordingly.

Predicting the remaining useful life of your product

We help you to take the next steps towards the digital transformation.

Trustworthy AI

We help you to develop trustworthy AI solutions; i.e., solutions that are safe and/or comply with ethical guidelines.


We help you to build data-driven solutions for sustainability, e.g., in the agricultural domain.[

More Information


Data-driven Solutions

  • Depending on your starting point, we support you in all phases of your digital transformation, e.g., ideation; strategy development and operationalization; pilot projects following an agile, collaborative, CRISP-based approach; systematic evaluation; team development.
  • Further Information:


Safe AI

  • With our competencies in data-driven solutions and safety, we provide you with expertise from both sides to ensure safe solutions with AI inside.
  • Further information:

Selected projects


Reference Project: International Data Spaces

Control and testing procedures for AI

In the research projects on International Data Spaces, Fraunhofer IESE is working together with other Fraunhofer Institutes to develop solutions for the sovereign and thus self-determined exchange of data across company boundaries.


Reference Project: ExamAI

Control and testing procedures for AI

In the publicly funded project ExamAI, Fraunhofer IESE is collaborating with an interdisciplinary team to investigate what control and testing procedures for systems with Artificial Intelligence could look like in the areas of industrial production and human resource management.

This might also interest you:

In an interview, we asked our expert Dr. Andreas Jedlitschka, Business Manager Data Engineering at Fraunhofer IESE, why Data Scientist are so popular:

DATA SCIENTIST - In hot demand thanks to Big Data!

More from our blog: In the new article, author Julian Siebert explains how the data science process is related to preparing a cook for a new menu:

What does Paul Bocuese have to do with Data Sciene? 



Are you interested in further education? We share our experience and knowledge in our Fraunhofer seminars in the field of Big Data:

Seminar »Certified Data Scientist«

Seminars »Analyzing the Potential of Big Data«