20260512 Solução Power BI com Matheus OBS

Challenges in Collaborative BI Development

Dependency on Other Teams

• The complexity of creating reports relies heavily on collaboration with other teams, which can lead to delays if those teams are busy.

• Internal discussions are necessary when changes are requested by stakeholders, as these may require adjustments in the sprint schedule of other teams.

Responsibility for BI Development

• The team has taken full responsibility for developing Business Intelligence (BI), including layout and graphical elements, while relying on another team for publication and structural changes.

• Local modifications can be made quickly without needing extensive external support, allowing for rapid updates before final publication.

Learning Curve and Technical Challenges

Complexity of BI Tools

• The learning curve associated with BI tools is steep; team members initially struggled due to their background in Angular.NET rather than BI technologies.

• Understanding DAX programming is essential for effective data manipulation within the BI environment, adding to the complexity faced by the team.

Data Management Issues

• Large volumes of data can cause performance issues; real-time data access is challenging due to size constraints.

• Once initial data loads are set up through Control M, subsequent changes do not require reconfiguration unless there’s a change in the semantic model.

Choosing Power BI Over Other Solutions

Reasons for Selecting Power BI

• Power BI was chosen to replace an older system (PGM), primarily due to its advanced filtering capabilities and dynamic visualizations that enhance user experience.

• Users prefer interactive features that allow them to switch between different types of graphs easily, making it more versatile compared to previous systems.

User Experience Enhancements

• Power BI allows users to view data over various time frames seamlessly, improving accessibility and usability compared to manual processes.

• Future plans include implementing buttons for users to select graph types dynamically during presentations or analyses.

Reporting Capabilities and Customization

Exporting Data from Power BI

• There are limitations on exporting large datasets directly from Power BI; however, it supports exporting smaller sets into Excel or PDF formats.

Custom Report Generation

• Due to difficulties with built-in reporting tools like Power BI Report Builder, custom reports were created using backend solutions instead.

• The focus remains on building dashboards that consolidate information effectively across multiple pages or sections based on user needs.