![]() When Microsoft finally launched its own computer and Operating System in 1987, it was re-engineered for a new platform and dubbed Microsoft Excel 2.0. Microsoft Excel has been around since it was initially released for the Apple Mac in 1984. In addition, Data Analysis enables companies to develop products and services that appeal to their customers and help them identify new opportunities for revenue generation.įor more information on Data Analysis, click here. Using these patterns and correlations, Data Analysts can generate insights and conclusions from the raw data.ĭata Analysis also provides a means for responding to questions that can help organizations in improving business decisions for future actions by understanding past behavior and interactions.ĭata Analysis allows businesses to sketch their action plan before committing to it. It helps in the uncovering of patterns in data as well as correlations between various Data Points. Table of Contentsĭata Analysis is the process of Collecting, Cleaning, Analyzing, and Mining Data, Interpreting Results, and Reporting the findings. ![]() It will also teach you about various important features of Microsoft Excel for Data Analysts and their uniqueness. This article will introduce you to Data Analysis and the importance of Microsoft Excel for Data Analysts. Data Analysts can use Microsoft Excel to create flexible Data Aggregation, represent data visually, calculate margins and other common ratios, etc. Microsoft Excel for Data Analysts is one of the top tools and its built-in Pivot Table is unarguably one of the best and most popular analytical tools one could ask for. While advanced analytics tools such as Hadoop, Apache Storm, and DataCleaner are commonly used by Data Analysts, Microsoft Excel for Data Analysts is one such software that frequently goes overlooked. ![]() Many software and tools in the market allow Data Analysts to maximize the value of their analytical work. Hence, Data Analytics is a game-changer for organizations’ Digital Transformation efforts since it enables quicker intelligent decision-making and delivers real-time insights based on organizational data.ĭata Analysts behind Data Analytics procedures will need tools and software that will guarantee optimum results in the most efficient and fastest way possible. Today, data is increasingly being viewed as a source of competitive benefits for companies of all kinds.
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