Tasks and Duties
Overview
This task involves establishing a clear planning framework and strategy for developing automotive data reporting using Power BI. As an intern, you are required to design a project blueprint that outlines the scope, objectives, and necessary steps to create a comprehensive automotive report. You will embrace planning skills that involve analysis of publicly available automotive data, understanding key business metrics, and setting up a project timeline.
Task Objective
The main objective is to develop a document that details the reporting strategy for an automotive dashboard. You will need to define which KPIs to track, outline methods for gathering data, and propose an initial framework for designing the Power BI report.
Key Steps to Complete the Task
- Research public automotive data sources and select relevant metrics.
- Define the scope of the report, including primary objectives and expected outcomes.
- Create a project plan including timelines, resource allocations, and anticipated challenges.
- Outline initial dashboard wireframes and visual elements.
- Detail the report’s structure and key performance indicators (KPIs) to be included.
Expected Deliverables
You are required to submit a DOC file that encapsulates a detailed project plan and strategy document. The DOC file must include sections on research findings, proposed KPIs, dashboard wireframes, and implementation roadmap.
Evaluation Criteria
- Clarity and comprehensiveness of the planning document.
- Depth of research on automotive data trends.
- Logical structure and ease of understanding.
- Creativity in proposing dashboard design elements.
- Adherence to task guidelines and overall length.
Overview
This week, you will focus on data preparation, cleaning, and modeling for automotive reporting. The aim is to work with publicly available automotive datasets, perform data cleaning, and create a robust data model that can be later connected to Power BI dashboards. This task is key for understanding how data quality directly impacts reporting accuracy and insights.
Task Objective
The objective is to produce a detailed document that outlines the steps taken in data acquisition, transformation, and modeling suitable for automotive reporting. You will need to simulate the data preparation process by discussing public data sourcing, cleaning methods, and establishing relationships among data tables, as you would in a Power BI environment.
Key Steps to Complete the Task
- Identify and review at least two publicly available automotive datasets.
- Document the methods for cleaning and preprocessing data.
- Detail the data modeling process including the creation of relationships between the tables.
- Explain how the cleaned and modeled dataset can be integrated into Power BI.
- Provide a sample model diagram or outline using text explanation.
Expected Deliverables
Submit a DOC file containing a thorough explanation of your data preparation process, detailing each step from research and cleaning to the creation of a logical data model. Your document should include diagrams, where applicable, and clearly outline the methodology.
Evaluation Criteria
- Completeness and clarity of the data preparation workflow.
- Innovative approach to handling and modeling data.
- Quality of written explanation and diagrammatic representations.
- Relevance to automotive data challenges.
- Adherence to the task instructions and overall document length.
Overview
This task focuses on creating dynamic visualizations within Power BI and developing an initial dashboard design tailored for automotive stakeholders. You will need to conceptualize and plan the integration of visual analytics into your report to effectively communicate trends, performance metrics, and actionable insights.
Task Objective
Your goal is to design a dashboard layout and visualization strategy by detailing the use of Power BI functionalities such as charts, tables, slicers, and interactive elements. Documenting this process enables you to demonstrate your ability to translate data into actionable visual insights that cater to automotive reporting requirements.
Key Steps to Complete the Task
- Identify key visual elements that are important for automotive data trends.
- Create a storyboard or sketch of the Power BI dashboard layout.
- Detail the rationale behind your choice of visualizations and interactive components.
- Discuss how these visual elements will enhance the understanding of the data.
- Include a plan of how to integrate visual analytics for real-time insights using Power BI features.
Expected Deliverables
You must submit a DOC file with the dashboard design document, which should include sections on visualization strategy, mock-up sketches or descriptions of layout, and an explanation of how each component facilitates data analysis in the automotive sector.
Evaluation Criteria
- Innovation and creativity in visualization methods.
- Detail and clarity in outlining the dashboard layout.
- Relevance of selected visual components to automotive reporting needs.
- Quality of the written explanation and documentation of design process.
- Adherence to the task guidelines and document length.
Overview
This week's emphasis is on advanced analytics, specifically focusing on the use of Data Analysis Expressions (DAX) within Power BI to enhance automotive reporting insights. You will delve into the creation of complex calculations, measures, and analytics to mine deeper insights from data.
Task Objective
Your objective is to produce a comprehensive document that covers the implementation of advanced DAX formulas and measures in Power BI reports. This document should describe how advanced analytics can identify trends, forecast outcomes, and provide actionable insights specifically within the automotive industry. The focus should be on utilizing DAX to create dynamic calculations such as year-over-year comparisons, trend analyses, and performance assessments.
Key Steps to Complete the Task
- Research specific DAX functions that are relevant for automotive data scenarios.
- Outline use cases for advanced analytics and describe how they apply to real-world automotive reporting.
- Detail step-by-step instructions on creating custom DAX measures and calculations.
- Explain how each advanced analytical function adds value to the overall report.
- Document potential pitfalls and best practices when working with DAX.
Expected Deliverables
Your final deliverable is a DOC file that provides a thorough account of advanced analytics techniques, including sample DAX expressions and their interpretations. The document must include case scenarios, illustrative examples, and clear instructions to replicate the process in Power BI.
Evaluation Criteria
- Depth and accuracy in the explanation of DAX functions.
- Practical applicability of the analytics techniques to automotive data.
- Clarity and conciseness of documentation.
- Ability to convey complex concepts in an understandable manner.
- Compliance with document structure and task guidelines.
Overview
This final task is dedicated to synthesizing your work into a compelling narrative. You will focus on storytelling through data by integrating all elements developed in previous tasks. Your goal is to create a detailed plan for a final Power BI report that cohesively presents automotive insights, complete with narrative elements and evaluation criteria. This task is critical for demonstrating your ability to report, evaluate, and communicate complex data findings in a user-friendly manner.
Task Objective
The purpose is to craft a comprehensive document that explains how you will integrate the planning, modeling, visualization, and advanced analytics components into a complete Power BI report. The document should emphasize how the data story is built, how insights are communicated, and how the performance of the developed dashboard will be evaluated over time. The narrative should address the impact of automotive trends and the actionable insights derived from data analysis.
Key Steps to Complete the Task
- Review and integrate all components of your prior tasks, including planning, data modeling, visualization, and analytics.
- Develop a detailed storytelling framework that connects these components into a cohesive report.
- Detail methods for evaluating the effectiveness of your report, including potential metrics and feedback loops.
- Create a narrative that explains the significance of the data insights in an automotive context.
- Propose a plan for continuous improvement and updating of the dashboard based on evaluations.
Expected Deliverables
The final deliverable is a DOC file containing the comprehensive narrative document. This document should be organized into clear sections such as Introduction, Methodology, Insights, Evaluation, and Conclusions. It should flow logically and provide a robust story of how the automotive Power BI report is structured and its potential impact.
Evaluation Criteria
- Coherence of the storyline and logical document flow.
- Integration of previous task components into a unified narrative.
- Depth and clarity in explaining data insights and evaluation methods.
- Narrative creativity and effective communication of complex ideas.
- Overall adherence to the task instructions and detailed requirements.