Data Analytics & AI Consulting

Understand your data and use it optimally
Satisfied customers from SMEs and corporations
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 realizing possible potential through data value creation in conjunction with AI is an innovation challenge that is difficult to realize on your own. In addition, companies are struggling to gain valuable insights from their data and perform predictive analyses in order to make the right decisions, understand their markets and predict risks. In addition, they often lack the necessary infrastructure and the cultural anchoring of a data-driven mindset, which are essential to unleash the full potential of data.
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Data analysis and AI-optimized processes with advice from Ventum Consulting

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 in a targeted manner to enable precise forecasts and well-founded decisions – always aligned with your strategic goals. We understand your IT architecture and your 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 automated responses 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.

Every company is unique, as are its data and AI requirements. Ventum Consulting develops individual data analysis strategies that are precisely tailored to your needs. Together, we adapt methods and frameworks – paired with a pragmatic process model – to best support your goals. Our interdisciplinary teams combine technical and strategic expertise to create innovative, scalable and implementable solutions that deliver measurable results. In doing so, we place particular emphasis on identifying potential with high profitability but low investment risk. At the same time, we support you in anchoring a data-driven culture in your company that ensures long-term success.

Satisfied customers from SMEs and corporations

Steps to the successful implementation of data analytics & AI

01

Ready
The first phase serves as preparation and lays the foundation for a successful implementation. Together, we define clear goals, analyze your existing data landscape and create a common understanding of requirements, framework conditions, value creation and alignment, feasibility and cost-effectiveness and secure the approval of the most important stakeholders.

02

Steady
In this phase, we carry out a detailed analysis of your current data landscape and infrastructure. Based on these findings, we identify potential optimizations and define gaps between your current status and the targets. Together, we create prioritized action plans and develop roadmaps that are precisely tailored to your organization and your strategic goals.

03

Go
The go phase focuses on the practical implementation and iterative development of the solutions. We take into account proven frameworks and technologies that fit your IT architecture and business environment. The aim is to achieve visible success and put the data strategies through their paces.

04

Flow
The final phase serves to anchor the data analytics and AI strategies in your business processes. After integration into regular operations, the focus is on extensive team training to ensure continuous use and optimization. With final documentation and handover, we enable you to make data-driven decisions independently in the long term and continue to pursue your objectives.

Kick-start to a data-driven company – your basis for AI, data-driven use cases & knowledge management

Turn raw data into tangible value: with our tried-and-tested kick-start program, you can lay the foundations for sustainable, data-driven transformation in just a few weeks.

  • Individual structural framework with integrated use case blueprint
  • Quick project start thanks to preliminary analysis, tried-and-tested templates and best practices
  • Uniform integration approach for synergies and scalable modules
  • Precise gap analysis for immediate skills and resource development

In line with the principle of “think big, start small”, we rely on a tried-and-tested toolbox of methods and practice-oriented expertise: together, we develop a tailored structural framework, test it with a focused pilot use case and transfer the insights gained to your strategic data initiatives. This creates a resilient framework for designing and planning your most important areas of transformation – efficiently, iteratively and with guaranteed impact.

Your contact

Christian Kabelin

Prinicpal and expert for
Data Analytics & AI

Christian Kabelin Kontakt
Ondrej Balun

Prinicpal and expert for
Data Analytics & AI

Silhoutte eines Mannes

Our partners

From data overload to efficiency - automation with a system

Data quality and security are the basis of any successful data analytics strategy. Only consistent, accurate and up-to-date data enables valid analyses and predictive models. Ventum Consulting supports you in ensuring your data quality using state-of-the-art tools and processes. This includes cleansing and consolidating your data as well as setting up a data quality management system. In the area of data security, we rely on GDPR-compliant solutions and role-based access controls to protect your data from unauthorized access. Our experts integrate innovative technologies to make your data landscape not only secure, but also future-proof.

Our services in the field of data analytics

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.

A solid database is the key to successful analytics and AI projects. Ventum Consulting supports you in setting up modern data warehouse and data lake solutions that serve as a central platform for your data. With our approach, we ensure that your data is consistent, reliable and available at all times – regardless of its origin or format. In addition to integrating new data sources, we also cleanse and consolidate existing data to ensure its quality and usability. In this way, we create a powerful foundation that not only meets your current requirements, but is also prepared for future developments.

Business Intelligence (BI) is the key to gaining valuable insights from your data. With Ventum Consulting, you can develop BI solutions that are precisely tailored to your individual requirements. We create interactive dashboards that visualize complex data sets intuitively and clearly, enabling you to make data-driven decisions quickly and soundly. Automated reporting and real-time analysis ensure that you have access to up-to-date and relevant information at all times. Our solutions are flexible, scalable and integrate seamlessly with your existing systems – including the use of powerful platforms such as 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 courses provide participants with basic knowledge, while expert training courses are aimed at advanced users and include 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.

Why Ventum Consulting for data analytics?

Many years of experience

Our experts have in-depth knowledge of data analysis and know how to use this knowledge effectively and comprehensibly to achieve your goals.

Comprehensive approach

We support you from analysis and implementation through to continuous optimization.

Innovation and scalability

Our solutions are sustainable, flexible and future-oriented.

Arrange a non-binding initial consultation now

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    Frequently asked questions about data analytics & AI consulting

    Data analytics refers to the systematic process of examining data sets in order to identify patterns, correlations and trends. The aim is to analyze the data in such a way that it contributes to answering specific questions and improving the business strategy.

    Data analytics uses a variety of modern technologies, including data visualization tools such as Microsoft Power BI. Technologies such as SQL and Snowflake are used for data integration and management. Machine learning and statistical analyses are often carried out using Python, R or specialized AI software.

    Data analytics can be used across all industries. Benefit in particular:

    • Retail: Optimization of stock levels and personalized marketing campaigns.
    • Financial sector: for example, fraud detection and risk management.
    • Manufacturing: Production management (process optimization and predictive maintenance)
    • Logistics: route optimization and increased efficiency in the supply chain.

    Business Intelligence (BI) focuses on the presentation and visualization of historical and current data to support operational decisions. Data analytics goes beyond this by analyzing patterns and developing predictive models to enable strategic decisions. In the best case scenario, both systems complement each other.

    Data analytics focuses on analyzing and interpreting data in order to gain patterns, correlations and insights that support decision-making processes. Artificial intelligence, on the other hand, uses data to train models that can make predictions or perform tasks independently.

    No, artificial intelligence relies on data to learn and work effectively. Data analytics prepares the data, analyzes it and provides the basis that AI needs to recognize patterns and train algorithms. Without high-quality data from data analytics, AI would be neither efficient nor accurate. The two disciplines are closely linked and complement each other perfectly.

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