The full-day workshop in the SCE Creative Hall focuses on the question of how scattered data sources can be brought together and translated into meaningful decision-making bases. Participants will learn how to combine data from different systems, define relevant KPIs and create interactive dashboards. The aim is to make data-based decisions more efficient and enable self-service BI in the team.
The workshop will also provide insights into the integrated AI functions of Zoho Analytics. Features such as "Ask Zia", automated insights and predictive analytics show how classic reports can be developed into predictive analyses. In addition to practical application, the focus will also be on an overview of current developments in the analytics market - in particular the shift towards AI-driven business intelligence.
The workshop is aimed in particular at start-up teams who want to better understand customer data and make operational decisions based on data. Students who want to expand their analytical skills and strengthen their competence profile in the field of business intelligence will also benefit. Participation is free of charge for start-ups and currently enrolled students. After successful participation, participants will receive an official certificate and a digital badge.
Agenda (excerpt)
09:00 - 09:30 | Check-in & Welcome Coffee
09:30 - 10:00 | Zoho Analytics Overview and the Shift Toward AI-Driven BI
10:00 - 10:30 | Connecting and Consolidating Data for Modern Analytics
10:30 - 11:30 | Creating Business Metrics, Data Models and Advanced Data Management
11:40 - 12:40 | Mastering Data Visualization and Advanced Analysis
12:40 - 13:20 | Lunch
13:20 - 14:20 | Using Built-In AI Features: Ask Zia, Zia Insights and Predictive Models
14:20 - 15:00 | Managing Access, Sharing Insights and Automating Workflows
15:00 - 15:15 | Q&A
15:30 - 16:00 | Quiz & Conclusion
Date: Tuesday, May 5
Time: 09:00 - 16:00
Location: SCE Creative Hall
The workshop offers a compact introduction to modern analytics workflows - from data integration and visualization to AI-supported forecasts. Participants will not only leave with new ideas, but also with directly applicable best practices for their own projects.