Power BI Consultant-Personalized Power BI Guidance

Example

Consolidating disparate data sources into a coherent model.

Scenario

A consultant might integrate sales data from an ERP system with customer interaction data from a CRM platform, creating a unified view that enables deeper analysis of customer behavior and sales effectiveness.

Example

Designing bespoke visuals to meet specific analysis needs.

Scenario

For a manufacturing firm, a consultant could develop custom visuals that map the production lifecycle, helping to identify bottlenecks in the manufacturing process and opportunities for optimization.

Example

Applying statistical or machine learning models within Power BI.

Scenario

Using Power BI's integration with Azure Machine Learning, a consultant might build predictive models to forecast sales, helping a retail chain allocate inventory more efficiently.

Example

Enhancing report performance and user experience.

Scenario

Optimizing data refresh times and report loading by redesigning data models and visuals for a company, ensuring that users have access to real-time data without significant delays.

Example

Empowering users through targeted training sessions.

Scenario

Conducting workshops on DAX, Power Query, and best practices in data visualization, enabling a company's internal team to maintain and evolve their Power BI reports autonomously.