Tasks and Duties
Objective
The goal of this task is to develop a comprehensive data strategy plan tailored for leveraging Power BI to generate actionable insights. You will design a plan that outlines key data sources, defines relevant business questions, and proposes a theoretical roadmap for data preparation, integration, and analysis. This plan should align with the core principles of Power BI Certification Training, and emphasize the initial planning stages necessary for a successful Power BI project.
Expected Deliverables
- A DOC file containing the data strategy plan.
- A detailed outline of the business objectives.
- A mock data schema illustrating the flow from data source to report.
Key Steps
- Define the Business Objectives: Identify general business questions which, when answered, will drive insights and decision-making.
- Research Public Data Sources: Identify publicly available data that could be used as references or example inspirations.
- Develop a Data Roadmap: Structure the steps for data collection, cleaning, and integration using Power BI.
- Create a Data Model Concept: Illustrate a preliminary data model highlighting relationships, key metrics, and potential KPIs.
- Document Tools and Techniques: Include a discussion on the selection of Power BI features that will be best suited for the project.
Evaluation Criteria
- The clarity and depth of the strategic plan.
- The effective use of Power BI’s planning tools in the proposal.
- The logical flow from planning to execution.
- Overall presentation, structure, and coherence in the DOC file submitted.
This task is designed to occupy approximately 30 to 35 hours meticulously planning and documenting your strategy in detail, ensuring a strong foundation for subsequent tasks in the internship program.
Objective
The purpose of this task is to build a detailed data model that integrates multiple data sources into a cohesive system using Power BI. This task will require you to outline the process of connecting, transforming, and establishing relationships between datasets, ensuring that the model supports robust analysis and reporting. You are expected to simulate a real-world scenario where multiple datasets are merged, cleaned, and optimized for Power BI's analytical engine.
Expected Deliverables
- A DOC file detailing your data modeling process.
- A data integration plan that describes data relationships, data types, and transformation procedures.
- An explanation of your decision-making process when selecting and modeling the data.
Key Steps
- Identify Data Sources: Choose at least two publicly available datasets for your simulation.
- Outline Data Cleansing Methods: Describe steps to clean and prepare the data.
- Design the Data Model: Create a conceptual schema that includes relationships between entities.
- Discuss Integration Techniques: Explain the techniques you will use to join data sources using Power BI functionalities.
- Document Issues and Resolutions: Include potential challenges and your strategies to overcome them.
Evaluation Criteria
- Logical structure and clarity in documentation.
- Depth and realism of the data integration process.
- Understanding of Power BI's modeling functionalities.
- Quality and thoroughness in the descriptions provided in the DOC file.
Spend approximately 30 to 35 hours to ensure all aspects of data modeling and integration are well documented, showcasing your proficiency in handling complex data scenarios with Power BI.
Objective
This task is focused on the design and conceptualization of an interactive Power BI dashboard. The objective is to simulate the process of transforming a complex data model into an intuitive and visually appealing dashboard that highlights key metrics. You will be required to plan the layout, choose appropriate visualization elements, and define interactivity features that enhance user engagement and decision-making.
Expected Deliverables
- A DOC file presenting your dashboard design strategy.
- Mock-ups or sketches of the proposed dashboard layout.
- A detailed explanation of the selected visual elements and their purpose.
Key Steps
- Review Data Model: Start from your previously designed data model to identify key indicators for visualization.
- Design the Dashboard Layout: Create rough drafts or sketches outlining the placement of visuals.
- Select Visualization Techniques: Explain why you selected charts, graphs, or other visuals and how they address the business questions.
- Plan Interactivity: Outline interactive elements such as filters, drill-down capabilities, and tooltips.
- Discuss Design Principles: Incorporate principles like color coding, font hierarchy, and data organization for enhanced readability and impact.
Evaluation Criteria
- Depth and clarity in the dashboard design strategy.
- Creativity in layout and use of interactive elements.
- Connection between design choices and business objectives.
- The overall quality and organization of content in the submitted DOC file.
This task should command a commitment of approximately 30 to 35 hours of work, encompassing research, design, and documentation efforts that illustrate a practical approach to dashboard design using Power BI.
Objective
This task requires an exploration into advanced analytics capabilities within Power BI. You will incorporate advanced modeling techniques, custom visuals, and complex DAX formulas to simulate a scenario where deeper insights are derived from data. The task is designed to challenge you to integrate analytical rigor with creative visual techniques, demonstrating how Power BI can be used beyond its basic functionalities.
Expected Deliverables
- A DOC file that outlines your approach to advanced analytics.
- A detailed explanation of custom visuals or advanced analytics techniques chosen.
- An in-depth discussion on DAX formulas and their application in your simulated scenario.
Key Steps
- Identify Advanced Analytics Goals: Choose at least one complex business question that requires advanced analysis.
- Explore DAX Formulas: Provide detailed examples of DAX formulas that could be employed to solve the problem.
- Integrate Custom Visuals: Research and select custom visuals available publicly that could enhance report insights.
- Develop a Step-by-Step Plan: Document how you will integrate these advanced techniques with your existing data model.
- Discuss Expected Impact: Explain how these advanced elements will improve data insights and decision-making.
Evaluation Criteria
- Sophistication of the advanced analytics concept.
- Clarity in the explanation of DAX formulas and custom visuals.
- Demonstrated integration of advanced techniques with practical use cases.
- Depth of research and documentation quality in the DOC file.
Expect to invest around 30 to 35 hours in this task, ensuring every detail is meticulously documented and clearly justified, showcasing your ability to harness advanced Power BI functionalities.
Objective
This task is designed to simulate the process of optimizing both data models and reports for performance and scalability in Power BI. You will focus on identifying and resolving common performance issues, enhancing the visual appeal and responsiveness of your reports. Your challenge is to outline practical strategies to optimize data queries, reduce load times, and refine the interactivity of dashboards to ensure they are user-friendly and efficient.
Expected Deliverables
- A DOC file elaborating on performance optimization techniques.
- A detailed plan that identifies potential performance bottlenecks and proposes solutions.
- An investigation into ways to streamline visuals and enhance report interactivity.
Key Steps
- Analyze Existing Data Models: Identify potential inefficiencies or redundancies in your current data model.
- Research Optimization Techniques: Select and explain techniques like query folding, incremental refresh, and data aggregation.
- Plan Visual Enhancements: Propose changes to visuals and report layout that improve performance and user experience.
- Detail an Optimization Roadmap: Outline a series of steps aimed at reducing report load time and enhancing responsiveness.
- Discuss Monitoring Mechanisms: Include methods for tracking performance post-implementation.
Evaluation Criteria
- Depth and feasibility of the optimization plan.
- Clarity and justification behind chosen techniques.
- Integration of performance metrics within the documentation.
- Overall organization and thoroughness of the DOC file.
This practical task should require about 30 to 35 hours, allowing ample time to research, implement theoretical improvements, and document your approach in a highly detailed manner.
Objective
This final task focuses on synthesizing all the learnings from the previous weeks into a comprehensive presentation. The objective is to compile and evaluate the entire process of data strategy, modeling, visualization, advanced analytics, and optimization into a coherent narrative that demonstrates your ability to derive actionable insights from data using Power BI. This task simulates a final project review where you present your findings and recommend future actions based on data insights.
Expected Deliverables
- A DOC file serving as a final report and presentation script, containing an executive summary, methodology, analysis, and recommendations.
- A summary of key insights derived and how they inform business decisions.
- Clear documentation of challenges, resolutions, and lessons learned during the internship.
Key Steps
- Compile Project Findings: Aggregate insights from each of the previous tasks into a well-structured narrative.
- Develop an Executive Summary: Highlight the crucial points and actionable recommendations stemming from your work.
- Outline the Methodology: Provide a detailed explanation of your overall process, including planning, execution, and optimization steps.
- Present Case Studies: Include hypothetical examples or case studies that illustrate the impact of your work.
- Design a Final Section for Future Recommendations: Suggest improvements and future directions for further data insights generation.
Evaluation Criteria
- Clarity, depth, and synthesis of the overall project information.
- Ability to effectively communicate complex data insights.
- Logical recommendations and future strategies based on your full project documentation.
- The professional presentation and organization of the DOC file.
Allocate approximately 30 to 35 hours to polish your final presentation. This document should encapsulate your comprehensive understanding of Power BI, integrating all elements from strategy to execution. It should serve as a testament to your ability to analyze, optimize, and present data insights in a professional manner.