Beginner’s Guide: Breakdown Of The Data Analysis Process

Data analytics is a critical aspect of many businesses and organisations. It is the process of extracting meaningful insights from data and making data-driven decisions. If you’re new to data analytics, it can be overwhelming to know where to start from. In this article, we’ll outline the five stages of the data analysis process, to help you get started.

1. Plan: Before you begin the analysis process, it’s important to outline the aim of the project. The key pointers you should consider in this stage are the purpose of the analysis, stakeholders involved, the industry you are working in and what data you need to answer those questions. Asking clear, concise questions will enable you excel in this stage. Having a clear plan will ensure that your analysis is focused and relevant.
2. Collect: Once you have outlined the plan, you need to collect the data. This stage involves identifying the necessary sources of data, collecting the data, and ensuring that the data is accurate and relevant. You may need to gather data from a variety of sources, including databases, spreadsheets, and web-based tools.
3. Process: In this stage, you will clean and prepare the data for analysis. This involves removing any errors or outliers, formatting the data, and transforming the data into a format that can be analyzed.