up:: [[Computing MOC]] tags:: #on/data-analytics # Data Analysis Data analysis is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making. One way to think of it is "turning data into insights". > [!info] What is Data? > **Data** is a collection of facts. Some refer to it as the world's most important resource. Data analysis is used by businesses to improve processes, identify opportunities and trends, and make thoughtful decisions. Some important aspects of data analysis are: - Knowing how to ask the right questions - Knowing how to understand objectives - Knowing how to communicate analysis results ## The Six Phases of Data Analysis 1. **Ask**: work to understand the challenge to be solved or the question to be answered. 2. **Prepare**: find and collect the data you'll need to answer your questions. 3. **Process**: clean and organize your data. 4. **Analyze**: do the necessary data analysis to uncover answers and solutions. 5. **Share**: present your findings to decision-makers through a report, presentation, or data visualizations. 6. **Act**: put the data insights into action. ## Data Analyst Skills - Curiosity - Understanding context - Having a [[Technical Mindset]] - Data design - Data strategy ## Analytical Thinking - Use the [[Five Whys]] - Perform [[Gap Analysis]] --- > [!createdat] Created at: [[2024-11-21]]