Contents
Prerequisites and requirements for the use of business intelligence and big data in the company
- IT landscape, architecture and infrastructure.
- Organization of the reporting processes.
- Development of BI and big data know-how.
Design variants of data supply for corporate management
- Selection of data sources.
- Extraction, processing and consolidation of raw information.
- Assessment of data quality and measures for improvement.
- Design approaches for company-wide architectures: enterprise data warehouse and data mart architecture, hybrid BI and big data architectures.
- Metadata (centralized, decentralized and federated approaches).
- ETL/ELT extraction process.
- Quality assurance in the preparation process.
- Practical exercises on the use of AI in data cleansing and pattern recognition.
- Intelligent data processing using predictive analytics.
Design variants of data analysis for corporate management
- Mapping and design of control parameters for corporate management using suitable KPIs.
- Dashboards, standard reporting, ad-hoc reporting, OLAP analysis.
- Visual analytics, explorative data analysis, algorithmic data analysis.
- Trends/development tendencies.
- Introduction to AI-supported dashboards for dynamic data visualization.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this qualification measure after you have registered.
Your benefit
You will learn from many case studies and exercises,
- the many possibilities and opportunities that the use of predictive analytics and business intelligence offers for your reporting process and analyses,
- which prerequisites and requirements must be fulfilled in the company,
- which methods and tools you can use to structure heterogeneous data effectively,
- which of the latest analysis tools you can use for yourself,
- how to analyze your data with analytical methods and use it for your decisions,
- how to design and map key figures and KPIs for corporate management and
- how you can use meaningful charts and dashboards to contribute to meaningful and efficient management decision-making.
- Learn how AI helps to analyze large amounts of data and create a basis for decision-making.
You can optionally take an e-exam and receive a certificate of attendance based on your exam result.
Methods
Practice-oriented lecture, case studies and exercises on the PC, discussion and optional e-exam.
Practice-oriented lecture, case studies and exercises on the PC, discussion and optional e-exam.
Technical information (live online event)
- The training is carried out in a virtual training environment so that you have access to the required programs during the training .
- Please note that in order to use the virtual training environment, you will receive a so-called RDP file (Remote Desktop Protocol) from us, which you must open on your computer. Please speak to your IT department in advance to find out whether this is possible.
- By default, the Remote Desktop Client is only available on Windows Professional and not on Windows Home.
Recommended for
Business intelligence analysts, financial analysts, data scientists, specialists and managers and those responsible for reporting in controlling.
Optional e-test
After successfully completing the training , you can take an optional e-exam to obtain an additional certificate in addition to your confirmation of participation. The e-exam is an online-based exam on your PC and lasts 60 minutes. You can take the exam in your familiar environment at a time of your choosing. The exam is based on single or multiple choice questions. Once you have completed the exam, you will immediately be shown whether you have passed or failed. Once you have successfully passed the e-exam, you will receive a certificate corresponding to the exam result.
Further recommendations for "Digital Reporting: Data Management - Analysis Techniques - Visualization"
Attendees comments
"I particularly liked the topicality. Very pleasant speaker."



Seminar evaluation for "Digital reporting: data management - analysis techniques - visualization"







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Start dates and details

Wednesday, 24.09.2025
09:00 am - 5:00 pm
Thursday, 25.09.2025
09:00 am - 5:00 pm
Wednesday, 19.11.2025
09:00 am - 5:00 pm
Thursday, 20.11.2025
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Wednesday, 04.02.2026
09:00 am - 5:00 pm
Thursday, 05.02.2026
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
Wednesday, 20.05.2026
09:00 am - 5:00 pm
Thursday, 21.05.2026
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.

Tuesday, 16.06.2026
09:00 am - 5:00 pm
Wednesday, 17.06.2026
09:00 am - 5:00 pm
Thursday, 16.07.2026
09:00 am - 5:00 pm
Friday, 17.07.2026
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.