Professional training – Business Intelligence and Reporting
Data Modeling for Business Intelligence
Data Modeling for Business Intelligence in 6 focused hours: Dimensional modeling after Kimball, Star and snowflake schemas and Slowly changing dimensions – practical, with exercises and templates for your daily work.
- Duration
- 6 hours, one session
- Level
- Intermediate
- Format
- Online or on-site
- Language
- German or English
- Certificate
- Certificate of attendance
Overview
“Data Modeling for Business Intelligence” is a compact live course in the field of Business Intelligence and Reporting. It centres on Dimensional modeling after Kimball, Star and snowflake schemas and Slowly changing dimensions – explained with realistic examples and deepened in exercises you can transfer straight to your daily work.
Reports are only as good as their data model and design. Our BI courses show how to connect data from different sources, model it cleanly and turn it into understandable dashboards – with Power BI, Tableau, Qlik, SAP Analytics Cloud, Looker Studio and other tools. Data Modeling for Business Intelligence is a one-day workshop with compact input and plenty of exercises on realistic datasets. You build your own reports, learn proven design patterns and receive templates that help you standardize reporting in your organization.
The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.
Focus areas of the course
Who is this course for?
- Controllers and financial analysts
- BI developers and data analysts
- Business units responsible for reporting
- IT administrators and BI owners
What you will be able to do
- You know the key topics of Data Modeling for Business Intelligence – Dimensional modeling after Kimball, Star and snowflake schemas, Slowly changing dimensions, Grain, Surrogate keys and Data quality – and can apply them in practice.
- You build meaningful reports and dashboards with Data Modeling for Business Intelligence.
- You model data so that analyses are correct and performant.
- You define metrics clearly and traceably.
- You deploy reports securely and run them in a maintainable way.
Course outline
Module 1 Getting started and data connectivity for Data Modeling for Business Intelligence
- Where Data Modeling for Business Intelligence fits in the BI landscape
- Interface and way of working
- Connecting and refreshing data sources
- Sample scenario and business questions
Module 2 Focus areas: Data Modeling for Business Intelligence
- Dimensional modeling after Kimball
- Star and snowflake schemas
- Slowly changing dimensions
- Grain
- Surrogate keys
- Data quality
Module 3 Modeling and logic in Data Modeling for Business Intelligence
- Data model, relationships and granularity
- Calculations, measures and filter logic
- Keeping performance and data volume in check
- Avoiding typical modeling mistakes
Module 4 Visualization and hands-on exercises with Data Modeling for Business Intelligence
- Choosing suitable chart types
- Building interactive reports and dashboards
- Design rules for readability
- Group review of the results
Module 5 Deployment and operations
- Publishing and sharing
- Permissions and data security
- Refresh schedules and maintenance
- Standards and templates for your organization
Module 6 Transfer to your daily work
- Exercise based on a realistic case
- Typical mistakes and how to avoid them
- Checklist and templates to take away
- Open questions, outlook and resources for further learning
Prerequisites
Depending on the level, confident Excel skills are enough. Advanced courses assume the fundamentals of the respective tool. Basic knowledge of the topic is helpful.
Technical requirements
Your own laptop with internet access; software, trial license or access to the training environment is provided in advance.
Dates & locations
For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.
- Munich Mon, 14 December 2026 6 hrs Request
- Salzburg Fri, 11 December 2026 6 hrs Request
- Berlin Wed, 16 December 2026 6 hrs Request
- Augsburg Wed, 16 December 2026 6 hrs Request
- Hanover Wed, 16 December 2026 6 hrs Request
- Bremen Thu, 10 December 2026 6 hrs Request
- Stuttgart Thu, 10 December 2026 6 hrs Request
- Kaiserslautern Mon, 14 December 2026 6 hrs Request
- Online Tue, 15 December 2026 6 hrs Request
Frequently asked questions
What prior knowledge do I need for Data Modeling for Business Intelligence?
For beginner courses, confident Excel skills are enough. Advanced courses assume the basics of the respective tool and an understanding of data models. We clarify the right starting point with you in advance and adjust pace and examples to your group.
Can we work with our own data in Data Modeling for Business Intelligence?
Yes, gladly for in-house sessions. We then use your anonymized or approved data sources and metrics. Access and data protection requirements are clarified beforehand. Alternatively we use a realistic sample scenario that covers all exercises.
How much does “Data Modeling for Business Intelligence” cost?
The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.
Can I suggest my own date?
Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you within one working day.
Is the course online or on-site?
Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run the course exclusively for your team.
Can the course be tailored to our team?
Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.
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