Power BI & Data Analytics for Controllers: In-house Workshop
Learn how to make data-driven decisions with Power BI and Excel pivot tables. Impulse €380, full day €780 excl. VAT. Enquire now.
Short description:
With Power BI, Controllers can evaluate, analyze, and visualize financial data quickly and efficiently. Employees benefit from interactive dashboards that make important key figures visible at a glance. As a result, financial developments can be monitored in real time and well-founded decisions can be made. Power BI helps to present complex data in an understandable way and enables data-based management of corporate finances for greater transparency and accuracy.
Benefits:
Power BI and data analytics enable controllers to quickly visualize financial data and gain deeper insights into business performance. Through interactive dashboards and precise analyses, well-founded, data-based decisions can be made.
Benefits for you as a company:
- Quick data evaluation: Real-time visualizations enable immediate analysis of financial data.
- Better decision-making: Detailed analyses support well-founded strategic decisions.
- Process optimization: Automated reporting and dashboards save time and reduce sources of error.
- Transparency: Clear and understandable visualizations promote communication and collaboration between departments.
- Flexibility: Customizable dashboards and reports provide accurate and adaptable financial analysis.
Contents:
1. Introduction to Power BI & Data Analytics for Controllers
- Why Power BI for Controllers? : Overview of how Power BI is used as a powerful tool for data analysis and visualization in finance
- Benefits of data analysis in finance: How controllers benefit from data-driven decisions and how Power BI supports this transformation
- Integration of financial data: Which financial data sources can be easily integrated into Power BI (ERP systems, Excel, CSV files, etc.)
- Real-time data analysis: Why the ability to perform real-time data processing in Power BI is a key advantage
2. Power BI basics
- Power BI: A brief introduction: overview of Power BI's user interface and key features (data querying, modeling, visualization, and reporting)
- Data import and preparation: How data can be imported and prepared from various sources (Excel, databases, APIs)
- Data modeling in Power BI: How controllers create data models, establish relationships between data sets, and efficiently structure the database
- DAX (Data Analysis Expressions): Introduction to the most important DAX formulas to create user-defined key figures and calculations
3. Analyze & visualize financial data
- Creating financial figures and KPIs: How controllers can use Power BI to calculate and visualize important financial figures such as turnover, profit margins, liquidity, cash flow, etc.
- Financial reporting and dashboards: How to create interactive dashboards and customized financial reports that show key figures at a glance
- Trend analysis and forecasts: Use Power BI to analyze historical data and visualize future trends and forecasts, e.g. for budgeting and forecasting
- Cost accounting & profitability analysis: How Power BI helps with the analysis of cost centers, profitability and margins and presents the results clearly
4. Efficient use of data analytics
- Data filtering & drill-down techniques: How controllers gain deeper insights into data, access specific details through filters and drill-down functions, and make data-based decisions
- Analysis tools for financial data: Using Power BI for specific analysis tools, such as identifying outliers, patterns, and relationships in financial data
- Scenario and what-if analyses: How to create scenario analyses and hypothetical financial forecasts with Power BI to evaluate various potential business strategies
- Automating reports: How controllers can automatically generate and distribute regularly updated financial reports to save time and improve efficiency
5. Visualization techniques for controllers
- Create beautiful financial dashboards: Best practices for designing dashboards that are easy to understand and interactive
- Visualization options for financial data: Which visualizations (bar charts, line charts, pie charts, heat maps, etc.) are best suited for which financial data
- Interactive reports and drillthrough: How to create interactive reports that allow users to get more detailed information by clicking on charts and data points
- Reporting for different target groups: How controllers can tailor and present reports for different stakeholders (management, investors, financial departments)
6. Power BI for financial planning and budgeting
- Budgeting with Power BI: How controllers can perform and visually monitor budgeting processes with Power BI
- Comparison of target/actual data: How controllers can compare planned values with actual values and analyze variances
- Forecasts and trend analyses: How to use Power BI to make accurate forecasts for future fiscal years based on historical data and planned scenarios
7. Best practices and case studies
- Effective data integration: Successful examples of how companies have used Power BI to integrate financial data to optimize their business processes
- Continuous improvement of reporting: Tips to continuously improve reporting and data visualization to meet stakeholders' needs
- Case study — Implementing Power BI in finance: A case study using Power BI to analyze financial data, build dashboards, and achieve automation
8. Risks and challenges
- Data quality and security: How important high data quality and data protection are, particularly when analyzing sensitive financial data
- Technological barriers to implementation: What challenges exist when setting up Power BI and how they can be overcome
- Changing the way the financial sector works: How the role of the controller is changing as a result of the use of Power BI and what new skills are required
Target group:
Executives, controllers, and finance teams who want to use Power BI and data analytics to efficiently analyze financial data and create meaningful visualizations for better decisions.
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Workshop:
Power BI & Data Analytics for Controllers: In-house Workshop
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