- #BASIC DATA ANALYSIS IN EXCEL FOR FREE#
- #BASIC DATA ANALYSIS IN EXCEL LICENSE#
- #BASIC DATA ANALYSIS IN EXCEL PROFESSIONAL#
Modern BI tools provide automation features that enable users to automate the entire analysis process, from data collection to cleaning to the actual generation of reports. Increased efficiency: As mentioned above, one of the biggest setbacks of performing data analysis using Excel is the amount of work it takes to manage the tool. In the long run, a data-driven culture will be implemented in your business. This will empower everyone in your organization to leverage the power of data analysis. Everybody using Excel for data analysis will find it much easier to handle our tool and will be surprised by the smart functions. A crucial advantage of datapine, compared to data analysis using Excel, is the intuitive drag-and-drop interface. datapine is one of the easiest solutions you can find to filter and pre-aggregate data without any SQL knowledge and export the resulting datasets to Excel. After all your sources are connected, you don’t need to worry about manually updating the data since the tool will automatically add the latest information available so you can work with real-time data from wherever you are.Īccessibility: One of the main setbacks from performing data analysis in Excel is the fact that it is segregated only to people with specific skills.
#BASIC DATA ANALYSIS IN EXCEL PROFESSIONAL#
datapine’s BI reporting tool offers professional data connectors so you can connect all your data sources into one single point of access with just a few clicks.
Real-time insights: As we mentioned, the static nature of Excel data analysis makes them less efficient and more expensive since, by the time a report is done, the data might already be outdated. Through this, you don’t need to wait hours or days to get your information, as it will automatically be available for you with just a few clicks. All your information from several sources can be visualized in one single dashboard that can be filtered depending on the analytical scenario and the needed data. With modern BI tools, data management has never been easier. Considering that in today’s fast-paced world, the data is needed for yesterday, all the time it takes to perform the analysis in Excel might not be worth it. First, you need to perform the analysis and then visually prepare the results with an Excel dashboard or a static PowerPoint presentation. Some extra benefits of using a BI tool for your Excel data analysis are:Īgile decision-making: Traditional Excel analytics often takes time. Easily access and explore your data, then filter and structure it before exporting the resulting dataset to Microsoft Excel in just a few minutes. At datapine, we designed a self-service BI solution that doesn’t require more than a basic knowledge of Microsoft Office for advanced data analysis in Excel and is mostly operated via an intuitive drag-and-drop interface that translates user interactions in SQL. While Excel is a popular tool that has been used for analysis and reporting for decades, it can no longer compete with the rise of business intelligence and self-service tools that are accessible and user-friendly.
#BASIC DATA ANALYSIS IN EXCEL FOR FREE#
You can download Excel Data Analysis ebook for free in PDF format (16.0 MB).Have you ever performed data analysis in Excel? While most people are familiar with Microsoft Excel, just a few of them know how to extract data from a database, making this tool segregated only to people with the needed technical skills.
#BASIC DATA ANALYSIS IN EXCEL LICENSE#
This open book is licensed under a Creative Commons License (CC BY). The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics - yet also need to learn the topic quickly and without overly academic explanations. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. It is based on the use of Excel, a tool that virtually all students and professionals have access to. Book DescriptionThis book offers a comprehensive and readable introduction to modern business and data analytics.
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