Data Mining & Predictive Analytics: Which tools, techniques, and technologies are best used to forecast future outcomes or trends based on the companies’ database?

BI (Business Intelligence) & BI Tools: Which analytics tools should be selected and implemented to enhance data analytics capabilities, improve decision-making processes, and drive business innovation?

Data Visualization & Dashboards: What are the best tools for the visualization and easy-to-understand presentation of data — from data preparation to reporting?

Self-Service BI: How do modern BI tools empower business users to independently query and analyze data – without the support of BI specialists from IT?

SAP: How to best implement a SAP platform and what are the challenges? What are the best practices for using SAP in the context of implementing BI platforms?

End-to-end BI: What are the most successful approaches for building enterprise BI platforms that can be seamlessly integrated into existing data structures and deployed across the enterprise?

Anomaly Detection: How to use AI for analysing data and identifying patterns and anomalies that may indicate potential issues, allowing for timely intervention?

BI & IT infrastructure: How to solve challenges in merging data assets in the cloud and hybrid environments, on-premise or own servers?

EU AI Act: What tools do companies need to align the AI usage to the complex obligations under the EU AI Act with ease? How to embrace the EU AI Act functions as a catalyst for innovation?