Tasks and Duties
Objective:
In this first task, you will develop a comprehensive plan for designing a Power BI dashboard. Your goal is to outline the strategy and establish the requirements that will drive your dashboard project. The main focus is on planning and analysis, making sure you understand the key components of a successful Power BI project. You are expected to align your planning process with the fundamentals covered in the Power BI Certification Training Course.
Key Deliverables:
1. A detailed project plan document in DOC format that includes an overview of the dashboard concept, targeted users, and the purpose of the dashboard.
2. A requirements analysis section presenting the functional and non-functional requirements for the dashboard.
3. A risk assessment and feasibility study regarding data availability from public sources.
Key Steps:
1. Begin by researching best practices in dashboard design and outline your strategy.
2. Identify and document the core business questions that your dashboard aims to answer.
3. Write a clear list of functional requirements (e.g., data integration, visualization needs) and non-functional requirements (e.g., performance, security considerations).
4. Develop a risk management plan, discussing potential challenges and the availability of public datasets related to your chosen domain.
Evaluation Criteria:
Your submission will be evaluated based on the clarity and detail of your planning document, the thoroughness of your requirements analysis, and the logical organization of your report. It should demonstrate your understanding of project planning as applied to Power BI dashboard design and justify decision-making with reference to publicly available information.
This assignment is designed to be completed in approximately 30 to 35 hours of focused work. Ensure that your DOC file submission adheres to professional document formatting standards and includes a title page, table of contents, and clearly labeled sections.
Objective:
In this week's task, you are required to focus on the backend architecture of a Power BI dashboard by developing a robust data model. You will work on designing efficient queries, structuring data relationships, and preparing the data for visualization. This task emphasizes the importance of data quality and model optimization as introduced in the Power BI Certification Training Course.
Key Deliverables:
1. A comprehensive data model documentation in a DOC file that outlines the key entities, relationships, and data sources you propose to use (using publicly available data as reference).
2. A detailed description of the query design and data transformation steps executed via Power Query or M language.
3. An analytical report covering the challenges and solutions regarding data cleansing, transformation, and relationship design.
Key Steps:
1. Identify the public datasets relevant to your project and outline the necessary data points required for your dashboard.
2. Create an entity-relationship diagram (ERD) or a similar document to illustrate the logical data model.
3. Write a step-by-step guide on how to import, cleanse, and transform the data using Power Query.
4. Describe your approach to optimizing the data model for performance, including any assumptions, calculated columns, or measures that you plan to incorporate.
Evaluation Criteria:
The submission will be assessed based on the depth and clarity of your data model documentation, the soundness of your query design, and your ability to foresee and address common data issues. Your report should reflect a meticulously planned approach to data integration and transformation, drawing on key principles from the training course.
This task is expected to require 30 to 35 hours of work. Ensure the final DOC file is well-organized, with clear headings, diagrams, and explanation of technical steps used in your data design process.
Objective:
The focus this week shifts to the presentation layer of Power BI dashboards. Your objective is to design a visually compelling and intuitive dashboard. This task emphasizes the practical implementation of visualization best practices taught in the Power BI Certification Training Course. You will create a layout and choose visualization types that effectively communicate insights from the data.
Key Deliverables:
1. A DOC file that comprehensively details your design approach, including sketches or wireframes of your proposed dashboard layout.
2. An explanation of why you selected specific types of visualizations (e.g., bar charts, line graphs, KPIs, etc.) for various data insights.
3. A discussion on the balance between aesthetics and functionality, ensuring user-friendly interactions on the dashboard.
Key Steps:
1. Outline the user interface requirements and the criteria for a successful visualization design.
2. Develop initial sketches or wireframe layouts that show the placement of charts, filters, and key indicators.
3. Justify the selection of each visualization based on data types, insights expected, and user experience.
4. Describe how you plan to incorporate interactivity (drill-down, tooltip enhancements, and slicers) into the dashboard to enhance analysis.
Evaluation Criteria:
Your work will be evaluated on the creativity and practicality of your visualization design, the thoughtfulness of your layout, and the clarity of your written explanation. The final documentation should provide a clear roadmap that a developer could follow to build the actual interactive dashboard. The DOC file must be detailed, well-formatted, and exhibit a deep understanding of user-centered design principles as applied to Power BI.
The task should take approximately 30 to 35 hours of productive work. Ensure your submission is self-contained and does not rely on external files beyond publicly available resources.
Objective:
This week’s task challenges you to integrate advanced analytics into your Power BI dashboard design. The focus is on incorporating interactive and dynamic elements such as DAX calculations, drill-through features, and the application of advanced filtering techniques. You are expected to document the approach to implementing these interactive features and making data-driven decisions to enhance the dashboard's functionality.
Key Deliverables:
1. A DOC file that includes detailed explanations of advanced analytics methods employed in your dashboard design.
2. A comprehensive guide on the implementation of interactive features using DAX and other Power BI tools.
3. Case studies or scenario analyses showing how these interactive elements can facilitate deeper data insights and user engagement.
Key Steps:
1. Identify the specific interactive features and advanced analytics that align with your dashboard's objectives (e.g., predictive analytics, time-series analysis, or segmentation analyses).
2. Draft detailed potential use cases demonstrating how each feature can be utilized to derive insights from the data.
3. Document the steps for creating complex DAX formulas, custom interactions, and advanced filtering options.
4. Provide a narrative on how these techniques directly contribute to a more dynamic and responsive dashboard experience.
Evaluation Criteria:
Your submission will be evaluated on the technical depth of your explanations and the practical feasibility of your proposed analytics solutions. The DOC file should reflect a strong grasp of advanced Power BI functionalities, clear instruction on replicable interactive features, and a well-organized documentation format. Attention to detail and a focus on user experience improvements will be key criteria in the evaluation process.
This assignment is estimated to require 30 to 35 hours of dedicated work. Your report should be self-contained, fully elaborated, and ready for a developer to implement without additional clarifications.
Objective:
In the final week, you will evaluate the overall design and functionality of your proposed Power BI dashboard. The goal is to create a comprehensive documentation and presentation that assesses the effectiveness of your dashboard design against the initial objectives. This task focuses on critical evaluation, documentation best practices, and the ability to clearly present your work.
Key Deliverables:
1. A final DOC file that includes a full evaluation report, incorporating lessons learned, limitations found, and potential improvements for your dashboard design.
2. A detailed presentation outline that could be used to communicate your design process and outcomes to stakeholders (this does not require a slide deck but rather detailed speaking notes and structure).
3. A self-contained section on ROI or expected business impact, backed by qualitative and quantitative analysis based on public data references.
Key Steps:
1. Review the project documents from the previous weeks to compile a thorough assessment of your dashboard design, including planning, data modeling, visualization, and interactivity aspects.
2. Draft a reflective analysis highlighting what worked well, what challenges were encountered, and how the design meets the needs of a typical Power BI project.
3. Create a section that outlines future recommendations and potential iterations based on your evaluation.
4. Draft detailed presentation notes that explain the dashboard design process, key insights, and the value delivered through the dashboard—ensure that your presentation plan is clear and compelling.
Evaluation Criteria:
Submissions will be assessed based on the comprehensiveness of your self-evaluation, the clarity and organization of your documentation, and the persuasiveness of your presentation outline. Your analysis should be evidence-based and reflect a critical understanding of dashboard design principles as covered in the Power BI Certification Training Course. The report must be professionally formatted, with a logical flow of sections, and be self-contained, allowing it to stand on its own as a reference document.
This final task is intended to take approximately 30 to 35 hours of work. The DOC file should integrate all elements into a coherent narrative that can serve as a portfolio piece for future endeavors in Power BI dashboard design.