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What and who do you need to turn a business question into actionable insights? “Surely that’s IT’s responsibility?” “Our Power BI expert can handle all that” Or can they? A successful data analytics project isn’t just an IT project. You can do a million things with data, but what’s truly valuable? Who determines exactly what the problem is? What data do you need? Who can access, model and analyse that data? What technology do you need for that? And how do you translate the results into insights that the business can actually use? You need a whole range of different skills for this. And these are rarely found in a single person. Think of business analysis, data analysis, data engineering, data modelling, Business Intelligence, statistics, machine learning and AI. But technical skills such as SQL, Python, Databricks, Docker and Kubernetes can also play a part. In addition, logical thinking, visualisation and communication are at least as important for ultimately turning data into insights and action. During this interactive breakfast session, we’ll take a close look at a complete analytics case study. We’ll follow the journey from business question to actionable insight and highlight the various roles, skills and technologies required along the way.

How many hours does your team lose each week on tasks that could easily be automated? Think of tracking payments, processing emails, or looking up customer information in different systems. Not only does this take time, but it also increases the risk of errors. During this interactive breakfast session, we’ll use three familiar scenarios to demonstrate how to automate smartly. Automating data quality: Data in an ERP or CRM system is often incomplete or entered incorrectly. This leads to extra work and unreliable reporting. Through automation, we automatically check, enrich and correct data, ensuring it remains accurate and consistent. From email to quotation: Price enquiries come in as free-text emails. Staff have to read and interpret this information and manually transcribe it into a CRM or ERP system. Using AI, we automatically extract the relevant data from unstructured emails and convert it into a structured quotation or CRM record. Talk to your CRM: Customer information is scattered across various screens and spreadsheets. Staff are constantly searching for the right information. Using AI and an MCP, we retrieve the information directly from the CRM. We’ll show concrete solutions that are already possible today using automation, modern integration technology and AI. After each demo, there will be time for questions, and we’ll discuss how you can apply the same principles within your own organization.

AI is everywhere. Every tool, every platform, and every roadmap revolves around AI. But what exactly is AI, and how do you make sure your organization is ready for the AI revolution? How do you build a solid foundation that prevents your organization from collapsing like a house of cards? This session is designed for professionals who want to look beyond the hype and understand what it truly takes to implement AI sustainably and securely within their organization. Because organizations that want to succeed with AI tomorrow need to get their data foundation right today. Register now and discover how to prepare your organization for the AI revolution in a secure, scalable, and future-ready way.

Dive into the fascinating world of data integration. In this hands-on workshop, we’ll build a real integration together: from a demo source system to our MAKO data warehouse. No theoretical slides, just building, testing, and getting data flowing. We’ll use dlt, a Python framework for data integration. You’ll learn how to connect systems, retrieve data, and synchronize it intelligently using techniques such as pagination and incremental integration. Expect a highly practical session where you’ll actively code, experiment, and immediately see what works. Ideal for developers, data engineers, and technical professionals who want to connect systems and move data between platforms. Want to build along live with our demo project? Just bring your laptop. We’ll handle everything else. Ready to build a real data pipeline instead of just reading about one? Register, bring your laptop, and join us in creating a real integration from source to data warehouse. Fully hands-on and immediately applicable to your own projects.

In this pragmatic session, we move from theory to practice: how do you translate data and AI into concrete solutions within your organization? We focus on the technical aspects of data management, architecture, and implementation, so you understand what is required to use this technology effectively and securely.

Digitalization and AI are essential for organizations that want to stay relevant and competitive. Without a clear data vision, technological progress risks becoming a series of isolated initiatives instead of a structural driver for growth and efficiency.

AI and data are high on the agenda of almost every organization today, but the discussion is often dominated by buzzwords and hype. To gain real strategic value, it is essential to first create clarity around the many terms and trends in the data landscape. Only when everyone understands the same concepts and speaks the same language does it become possible to have meaningful conversations and make well-informed decisions about data and AI. During this session, we take a closer look at the most important concepts in the data world.