Data Analytics & AI

Understand your data and use it optimally

The principle of data-driven business is crucial for the future viability of companies: your company generates and collects a constantly growing amount of data. The number of data sources is also constantly growing. At the same time, technologies and market requirements are changing rapidly. In particular, identifying and implementing relevant, feasible and meaningful AI use cases is a major challenge for many companies. Furthermore, companies are struggling to gain valuable insights from their data and perform predictive analytics to make the right decisions, understand their markets and anticipate risks. This is often compounded by a lack of the necessary infrastructure and a lack of cultural embedding of a data-driven mindset. This makes it difficult to exploit the full potential of data.

Informed decisions and automation thanks to modern technologies

Ventum Consulting provides your company with long-term support on the path to a future-proof data and AI strategy. Our experts help you to analyze and optimize your data landscape to enable precise forecasts and well-founded decisions – always aligned with your strategic goals. We understand your IT architecture and data landscape and integrate AI seamlessly – not in the sense of a revolution, but an evolution. We work with you to identify and prioritize AI use cases, such as the automated response to customer inquiries. To ensure that you retain control, it is important to us that artificial intelligence provides support, but that the final decision always lies with your employees. All of this creates the basis for data-driven decisions, process automation and innovative business models.

Your contact person

Christian
Kabelin
Prinicpal and expert for data analytics & AI
Christian Kabelin Kontakt

"In a world where data-driven work is becoming increasingly important, we help companies turn their data into real competitive advantages. We provide AI as a co-pilot and drive well-founded decisions for innovative business models."

– Michael Schobel-Thoma, Ventum Consulting

Our partners

Interdisciplinary know-how for your data value creation

By working with Ventum Consulting, you benefit from a comprehensive consulting approach that covers the entire value chain of your data and AI. Our interdisciplinary teams combine expertise from the fields of business intelligence, data analytics, AI development, process automation, enterprise architecture management and project management. This diversity enables us to develop innovative solutions for your business. In addition, we promote a solid data and AI culture in your company, helping you to make data-driven decisions and respond proactively to change. This enables you not only to master current challenges, but also to take advantage of future opportunities.

Improved data literacy thanks to customized training for Microsoft Power BI

Power BI is the business intelligence platform from Microsoft. With Power BI, organizations can present data from multiple sources in interactive dashboards and reports and seamlessly integrate with other Miscrosoft apps. To get the most out of the platform and improve users’ data literacy, Ventum Consulting offers two types of in-house training:

User training provides participants with basic knowledge, while expert training is aimed at advanced users and includes setting up infrastructures, creating complex reports, and sophisticated programming. In both cases, you benefit from the handling of your individual challenges, first-class training materials, our modern and appealing premises in Munich and, last but not least, long-term support in the successful implementation of Power BI.

Improved data literacy thanks to customized training for Microsoft Power BI

Frequently asked questions about agile transformation

In an agile transformation, a company or organization fundamentally changes its way of working and corporate culture in order to establish agile principles and working methods. In this context, agility refers to an organization’s ability to adapt quickly, react flexibly and continuously improve its processes, products and services.

Components of agile transformation include

  • Changing the culture
  • Change in working methods
  • Adaptation of processes
  • Training and development of employees
  • Change in leadership
  • Continuous improvement

Agile transformations can take place in different industries and organizations. They are often initiated in response to the need to remain competitive in a rapidly changing market environment. However, an agile transformation and thus a certain change process is also associated with challenges and requires a strong commitment from executives and management as well as careful planning and implementation.

The duration of an agile transformation can vary greatly and depends on several factors, such as the size and complexity of the organization, the existing culture and way of working, the willingness of managers and employees to change and the specific goals of the transformation. It should also be noted that every department must be involved in the change process.

Overall, the change process of an agile transformation can take anywhere from a few months to several years. It is important that the organization views the process as a long-term investment in order to reap the benefits of agility. To accelerate the transformation process, agile coaches or consultants can be brought in to contribute proven methods and experience.

Agile process models are methodical approaches for the planning, development and management of projects and tasks based on agile principles. These models emphasize flexibility, collaboration, customer orientation and continuous improvement. The best-known frameworks are probably Scrum and Kanban.

With Scrum, the focus is on regular, time-limited work phases, known as sprints, in which a functional product increment is created. The framework includes clear roles (Scrum Master, Product Owner, Development Team) and events (Sprint Planning, Daily Stand-up, Sprint Review, Sprint Retrospective).

Kanban is an agile model that focuses on visualizing the work process and limiting work in progress. Teams typically use a Kanban board to track the progress of tasks and optimize the flow of work.

Other agile frameworks include Extreme Programming (XP), Lean Software Development, Crystal, Feature-Driven Development (FDD), Dynamic Systems Development Method (DSDM) and Agile Unified Process (AUP). These frameworks are more suitable for smaller teams.

In order to align a large organization as a whole in an agile way, these frameworks must be scaled. Here, too, there are ready-made models such as SAFe (Scaled Agile Framework). There is no such thing as a “perfect” framework – rather, the selection of a suitable model depends on the specific requirements of a project or organization. Each model has its own principles, practices and tools that can be used flexibly and adapted to the needs of your company.

Scrum and agility are two terms that are often used together but have different meanings and applications. The main difference is that agile is a general philosophy or mindset, whereas Scrum is a specific method used within this agile framework.

Agility is a fundamental mindset that describes the ability of an organization or team to adapt quickly to changing requirements and circumstances. Collaboration, customer focus, flexibility and continuous improvement are promoted through agility. Agile principles are anchored in various methods and frameworks.

Scrum is one such specific framework. It is used to organize and manage complex projects or tasks. The focus is on regular, time-limited work phases, known as sprints, in which a functional product increment is created. The framework includes clear roles (Scrum Master, Product Owner, Development Team) and events (Sprint Planning, Daily Stand-up, Sprint Review, Sprint Retrospective). Scrum aims to promote transparency, control and adaptability in a team and to support continuous improvement. In addition to Scrum, there are numerous other agile methods and frameworks that can be used depending on the specific requirements and objectives of a project or team.

If an organization has certain goals and challenges that can be addressed effectively with agile methods, an agile transformation can make sense. Factors that speak in favor of an agile transformation are, for example

  • Fast-moving industries
  • Complex projects
  • Customer orientation
  • Improved collaboration
  • High speed of change
  • Continuous improvement
  • Development of innovative products
  • Employee participation

It is important to note that an agile transformation is not suitable for every organization or in every situation. It requires a careful planning process and a willingness to rethink existing working methods and cultures. Before an agile transformation, we therefore work with you to carefully evaluate your specific goals, challenges and organizational requirements to ensure that agility is the right approach.

Arrange a non-binding initial consultation now

TISAX and ISO certification for the Munich office only




    *Pflichtfeld

    Bitte beweise, dass du kein Spambot bist und wähle das Symbol Baum.

    Scroll to Top