
Data Analytics Consulting - Get the best out of your data
Data & Analytics Consulting: Making well-founded decisions with Business Intelligence.
With data analytics consulting, you not only improve your business processes, make better decisions and solve your efficiency problems. You also collect the right data and visualize it - even from different sources. Promote a data-driven decision-making culture now and implement effective data governance and data stewardship.
Customized solutions
We offer customized solutions that fit the individual needs of our customers
Human focus
Despite all technological and strategic considerations, people are at the heart of everything we do.
Ready-to-use data
We prepare your data so that you can use it immediately
Wide-ranging expertise
With over 900 employees from various specialist areas, we have a wide range of experts at our disposal.
Why MaibornWolff?
We develop customized digital solutions that focus on the essentials. We are committed to developing only what is really needed - well thought-out, efficient and useful. Our focus is on simplicity rather than complexity and the consistent avoidance of the superfluous. For over 35 years, we have been supporting leading companies with their digitalization projects, from consulting to software design & development to operation. Together with partners such as AWS, Microsoft and StackIT, we create technological solutions that are really needed - no more and no less.
Less technology. Better Business.

The architecture assessment with MaibornWolff was crucial in identifying the necessary steps to establish effective data governance and to develop us into a data-driven company with a data mesh approach in the long term.
Our references & projects
A reference is worth more than 1,000 words. Fortunately, we have dozens of them. Click through a selection of our most exciting projects and see for yourself!
-
MAN: Efficient threat analysis for control unitsLearn more
Digitalization increases cyber risks - especially for MAN's new CM4 control unit. Our experts use the 4×6 methodology and ThreatSea to identify threats at an early stage and develop targeted protective measures. Find out how MAN uses intelligent risk analysis to strengthen the security of its vehicles.
Learn more7 monthsProject duration
Over 20 workshopsThreat analyses
Over 500Potential risks evaluated
Our services in the field of data analytics consulting
We offer you support in all matters relating to data management as well as the entire spectrum of analytical services:data science, business intelligence, insights management and dashboarding.
MLOps
We place a special focus on MLOps, the integration of data science workflows into your company's IT. This enablesseamless and automated collaboration between your data science and IT experts. Our focus is on extracting, processing, merging and transforming data, which accounts for around 80 percent of the work required to create a viable data product.
Data protection
We secure data against attacks, ensure compliance with the GDPR and anchor data protection aspects in productive data pipelines. In addition, we take ethical aspects of data processing and analysis into account to ensure that our solutions are fair and responsible.
Reporting and dashboarding
The aim of your data analytics project may be todelve deeper into the topic of reporting and dashboarding. In doing so, we work together to determine which key figure areas should be displayed in the future. Is it about creating a dashboard based on the data sources or should the underlying data model be designed for effective reporting? To do this, we go through the following steps:
- Identify the target audience or end users
- Determine the report types and user experience requirements
- Determining the report design and the right visualization
- Configure the report filters
- Improve the report design for maximum user experience
We support you end-to-end on your digital journey
Of course, over 30 years of expertise as an IT service provider cannot be summed up in just a few words and our range of services is always geared towards the requirements of our customers - that's how flexible you have to be. So don't hesitate to contact us and work with us to develop the right strategy for your company's success.
Business Intelligence: From the idea to the MVP
We are happy to carry out a solution assessment prior to the start of a project. We gain an overview of existing technologies and data, refine and scope your use case and gather requirements from all stakeholders, including those relating to security.The aim is for the project to quickly and reliably lead to an MVP and thus create real added value.
If the use case is not yet clear, we start with a data thinking workshop. We work with you to develop possible use cases and the necessary data. It is particularly important to us thatprojects with us lead to a product that is used productively. They do not end up as a proof of concept.
Roadmap: Process of a data analytics consulting project
We offer Data Analytics & Science Consulting solutions that are precisely tailored to your individual needs.

1. Status and target analysis
The first step is to understand what goal you are pursuing with the data analytics project. The existingorganizational structures and data sourcesplay a major role here. We find outwhere interfaces exist that are to be used for the project and check at what intervals this data can be provided. And we determine a suitable data owner.
2. Inventory
In order to achieve the best possible result, our data specialists examine the existing data sources and check their suitability for analytics.
3. Data opportunity recognition
Data thinking is used to identify other data sources that could also be relevant in this context. If this is the case, we decide together whether the project context should be expanded and new use cases added.
4. Ecosystem development and operation
In addition to using the data to improve the business, the interfaces for operating the future solution are discussed and defined.Topics such as monitoring or DevOps processes are taken into account .
5. Data security and data sharing
If a department provides the data, we automatically deal with access rights and data visibility. There is a particular focus on this aspect, as it lays the foundation for the topics of data sharing and data product within a data domain.
6. Handover of project operations
We enjoy working with our customers in mixed teams. We bring the technical expertise, you bring the professional expertise. By working closely together on the project,your experts and specialist departments are empowered to take on more and more responsibility for the product. At the end, your team is trained and ready to take over operation itself.
Tools and methods that we use in data analytics consulting
Data analytics consulting is not just about creating dashboards, reports and determining KPIs. The starting point is the collection and storage of data, which must be prepared appropriately for the area of data analytics. There is therefore a stronginterface with the areas of data architecture, data platform and data engineering.
The topics of data management and data cataloging are particularly important. This includes standards and definitions in various operational and analytical systems as well as solid metadata, taxonomy and cataloging practices. This enables high data quality.Data science and AI methods are also included , as well asdata thinking and collaborative tools.
Our partners



Discover your data analytics consulting at MaibornWolff now!
We help you to increase your data quality and expand your expertise with Business Intelligence. We pay particular attention to the challenges of scalability and data security. Empower your specialist departments now with data analytics - and ensure that your entire company benefits from your data.
FAQs
What does Data Analytics Consulting cost at MaibornWolff?
For scalable topics that are very similar for many customers, we offer fixed packages for consulting and prototyping. These start at 4,000 euros for a half-day workshop and go up to 20,000 euros for a week of proof-of-concept.
Do you have individual project requirements? Talk to us without obligation and we will be happy to advise you on which solution is right for you and your company.
What is meant by the term data quality?
To determine the data quality, we clarify how the company deals with low data quality. We also determine which processes and measures should be taken in order to obtain meaningful and reliable key figures.
Data lineage is automatically linked to this topic. It can be used to clearly trace which data was extracted from which data source in order to arrive at which key figure.
What is data ownership?
Data analytics also relates to the topic of data ownership. This involves answering the question of which person or department is responsible for which data. This also includes defining the processes for data maintenance. Only in this way can structured and prepared data bring the greatest possible benefit to your company.