Training Details

• Training Method: Face-to-Face and Online (Virtual Training)
• Training Duration: 2 Days (Theory + Practical Applications)
• Level: Beginner / Intermediate
• Target Audience: Professionals working in data-intensive sectors such as Energy, Logistics, Retail, and Finance, corporate companies, analysts, entrepreneurs, and students aiming for data-oriented careers.
• Prerequisite: Basic Excel-PowerBI, Data Literacy

Target Audience

Professionals working in data-intensive sectors such as Energy, Logistics, Retail, and Finance, corporate companies, analysts, entrepreneurs, and students aiming for data-oriented careers.

Training Purpose

Data-driven decision-making culture is the biggest competitive advantage of modern companies. This training aims to free employees from the burden of static and manual report preparation and transform them into analysts who "speak" the company's data. Participants will design dynamic management dashboards that provide transparent, real-time, and error-free data flow, enabling faster and more confident decision-making by the management. Our goal is to build a transparent and efficient organizational culture that is "Data-Driven, Not Forecast-Driven."

• Day 1: Data Architecture and Modeling
• Business Intelligence (BI) Infrastructure and Data Integration
• Corporate BI Architecture: Integration of Power BI Desktop and Service components with the corporate IT infrastructure.
• Managing Multiple Data Sources: Combining data from Excel, SQL Server, or web-based sources into a single model.
• Data Standardization with Power Query (ETL):
• Automating the process of cleaning raw data and preparing it for analysis.
• Identifying erroneous data entries and ensuring data integrity.
• Eliminating repetitive manual processes to improve operational efficiency.
• Relational Data Modeling and DAX Standards
• Data Modeling Strategies: Creating performance-oriented and scalable models based on relational database principles (Star Schema).
• Advanced Calculations with DAX (Data Analysis Expressions):
• Writing dynamic formulas for period comparisons (YTD, QTD, MTD) and growth analysis.
• Strategic differences between calculated columns and measures.
• Day 2: Management Dashboards and Enterprise Distribution
• Strategic Visualization and User Experience (UX)
• Management Reporting Standards: Transforming complex data sets into clear, understandable, and actionable graphics for decision-makers.
• Interactive Dashboard Design: User-friendly interfaces, advanced filtering (Slicers), and drill-down analysis capabilities.
• Visualization Principles: Selecting the most appropriate chart based on data type and managing colors/themes according to corporate identity.
• Afternoon Session: Reporting Governance and Security
• Power BI Service and Cloud Management: Secure publishing of reports and management of workspaces.
• Data Security and Access Protocols: Filtering data per user/department using "Row-Level Security" (RLS) and authorization matrices.
• Automation and Timeliness: Automatically updating reports at scheduled times (Scheduled Refresh) without manual intervention.
• Industry Best Practices: Examining global dashboard examples used in Energy, Logistics, and Sales operations.

Training Outcomes

• Operational Excellence: Minimizing report preparation time, allowing more time for "data analysis" rather than "data preparation."
• Standardization: Contributing to the creation of a common reporting language and KPI set across the organization.
• Digital Transformation: Accelerating the transition from static reporting to dynamic reporting culture with real-time, mobile-accessible updates.
• Decision Support Power: Enabling management to make faster and more reliable data-driven strategic decisions.

Notes

• The training is conducted in a professional environment where participants can simulate their organization's specific data sets.
• Considering data privacy, it is recommended that data sets used in examples be anonymized before being shared.
• The content can be customized based on the sectoral needs of Azerbaijan's business world (Energy, Banking, Telecommunications, etc.).
• At the end of the training, participants will receive a university-approved certificate.