AI and Data Science Consulting

As a data science consulting company, we support you in your data journey. Benefit from our data consulting experience from over 1,000 AI & data projects with more than 100 customers in various industries - including numerous DAX companies.

Consulting services

We help you plan and implement your data strategy and set up a data department with all the necessary processes. We also work with you to identify the greatest potential in your company and get the most out of your data.

Data Audit

Together with you, we review your current data and identify potential and opportunities.

Data Roles & Skills

We help you identify the right people with the right skills for your data project. 


Workshops help you to find a strategy, develop a use case or work on a specific use case. Together we will find the right format for you.


Thanks to our many years of experience, we can optimally support you in the selection of the right tools and software.

Digital transformation starts with the data strategy


Data is the fuel for digitalisation. Only those companies that are able to generate real benefits from data will be successful in the future. Don't make the same mistakes that others have already made, but use our tried and tested approach and learn from our experienced experts. We combine the best of strategy consulting, thought leadership and extensive project experience - developed and proven in perhaps the toughest market in the world in terms of data protection and customer scepticism.


Initial situation

Many companies face the challenge of building, developing or optimising AI & Data Science capabilities within the organisation. In the end, the goal is always to generate a better return on investment. Often, companies do not know who to look to for guidance in their industry, what trends to expect and what the best practices are in terms of organisational form, technology and processes. We support you in clarifying these open questions and help you to master all challenges in the field of data and AI.

Project procedure

To start with your data strategy, we first carry out a site assessment. Our assessment workshop has proven its worth for this purpose. In this workshop, you will learn about the strategically important components of a data strategy. In addition, we assess your status quo together and benchmark your current data strategy. Big DataAI and analytics capabilities. To develop your vision for a data-driven enterprise and the corresponding data roadmap, we work with design thinking methods. We then define the 5 pillars of your data operating model together: organisational structure, processes, roles, data governance and IT system landscape. We help you with change management in your company. We also conduct individual coaching sessions for the management or project team while supporting you in the continuous improvement of your project portfolio.

Data Science Use Cases

Insurance Automotive Logistics Energy Trade & E-Commerce

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Overview of methods used

Assessment Workshop

Design Thinking

Individual coaching

The Assessment Workshop

You don't know yet how to implement your data strategy in your company? With the Data Strategy, you will receive an introduction to the 5 most important elements from our experts and present best practices. Afterwards, the current status and the target picture for the 5 dimensions are assessed. The dimensions include, organisational structure, processes & use case pipeline, roles, Data governance and IT system landscape. This makes it possible concrete recommendations for action for you and to develop an individual data strategy.


from [at]


What makes [at] stand out

Leader for
AI and Big Data

We have been recognised as a #1 Value Creator in Machine Learning by CRISP Research and as a Big Data Leader in Germany by experts.


We have completed over 1,000 AI & Data Science projects in over 15 different industries.


We find the right technology for our customers depending on their needs and support them in the implementation.

Data projects implemented

Use cases identified

AI and Data Experts

Years of experience




What is a data strategy?

A data strategy is the definition of the long-term goals for the value-added contribution of asset data in organisations as well as the activities and resources required for this. The data strategy thus defines the master plan for creating added value through data in organisations and is thus a core component of the overarching digitalisation strategy.

A data strategy must provide an aligned response to all design objects. The sub-strategies are integrated into an overall programme for transformation into a data-driven organisation.

Can you guarantee us a Rol?

In order to be able to generate added value from data, it is essential that we work together with the client to calculate a business case for each project and to be able to check this measurably during the project. However, due to the innovative nature of many of our projects, this is not always possible - so in such cases we have to work with assumptions. A Rol guarantee is not possible due to the innovative nature of the project.

Can we develop individual training?

[at] already offers standardised Data Science Trainings on various topics. We are also happy to develop individual solutions. We are happy to adapt these to the technologies you already use.

What skills do your advisors have?

Our data and AI experts have a wide range of knowledge and skills. Professional backgrounds include:

  • Mathematics 16 %
  • BWL & VWL 14 %
  • AI, Big Data & Data Science 6 %
  • Engineering 14 %
  • Physics 9 %
  • Computer Science 41 %

Do you only advise or do you also take over the implementation and realisation of this?

With the help of our Data Journey we accompany you from your first idea to the finished data product.

Do you also provide non-binding cost estimates?

We will be happy to provide you with a non-binding cost estimate for your project after an initial discussion. 

What is the Data Journey?

With the data journey, we accompany you from the first idea to the finished data product. With the help of this framework, projects can be classified at any time according to the maturity of the data products and the subsequent phase can be planned. This enables us to generate real added value from data projects across the board.

Who do I approach with a specific project enquiry? What is the bidding process here?

For an initial exchange on your request, please contact our Head of New Business Simon Decker!
He will be very happy to help you with your concerns and will call in the appropriate experts depending on the areas in which your challenges are to be located.

Request here

We still need expertise in one of our ongoing projects. Can I book individual profiles in the course of this?

We would also be happy to send you profiles to match your enquiry. 

Does [at] offer teams or is there the possibility for single sourcing?

Our experience has shown that we can best react to the (sometimes unplanned) requirements in the project if we support you as a team. Depending on the issue, it usually requires more than one person.  In cases where the requirements are very clear, we can also plan with fixed project staff.

Data & AI Knowledge

Creating added value from data & AI together


Discover professional articles on Data & AI as well as the latest industry news.


Best Practices and Industry Exchanges - Watch Live or On Demand.


Learn more about the use of Data & AI in your industry and department.