English | 2019 | ASIN: B07ZL46CB5 | 113 Pages | PDF/EPUB/AZW3/MOBi | 41.5 MB
Excel is a powerful yet highly accessible tool for data analyst using data stored on spreadsheets.
Microsoft is continuously developing new features based on feedback by Excel Power-User beta testers, data analysts, and Excel aficionados. Regardless of these new features, those who get the most out of the data analysis features in Excel are those who understand the investigative process: creating new ways of looking at the data through asking the right questions.
Excel pivot tables have many features that allow you to cut and slice data on the fly. After initializing and loading the data into pivot tables, it is a straightforward process to create interactive drag-and-drop analyst dashboards. Excel for the web even makes it possible to publish dynamic dashboards online for your clients.
However, unfortunately, many tend to mistake Excel and pivot tables as the primary tool for creating these new perspectives. While these tools may allow you to create a presentation, the impact of that presentation depends solely on your grasp of the analysis process and the way you present your content. Accurate and scientifically sound modeling is the only way to ensure data-driven business decisions. This distinction separates data entry freelancers from business analyst consultants who inform trends in their field.