Data Visualization with Excel Dashboards and Reports

Data Visualization with Excel Dashboards and ReportsCondition: BRAND NEW ISBN: 9781119698722 Year: 2021 Publisher: John Wiley & Sons Inc (US) Pages: 352 Description: Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons. An effective analyst not only has to have the technical skills to use Excel in a productive manner but must be able to

Condition: BRAND NEW
ISBN: 9781119698722
Year: 2021
Publisher: John Wiley & Sons Inc (US)
Pages: 352


Description:


Large corporations like IBM and Oracle are using Excel dashboards and reports as a Business Intelligence tool, and many other smaller businesses are looking to these tools in order to cut costs for budgetary reasons. An effective analyst not only has to have the technical skills to use Excel in a productive manner but must be able to synthesize data into a story, and then present that story in the most impactful way. Microsoft shows its recognition of this with Excel.  In Excel, there is a major focus on business intelligence and visualization.  Data Visualization with Excel Dashboards and Reports fills the gap between handling data and synthesizing data into meaningful reports.  This title will show readers how to think about their data in ways other than columns and rows.


Most Excel books do a nice job discussing the individual functions and tools that can be used to create an "Excel Report".  Titles on Excel charts, Excel pivot tables, and other books that focus on "Tips and Tricks" are useful in their own right; however they don't hit the mark for most data analysts.  The primary reason these titles miss the mark is they are too focused on the mechanical aspects of building a chart, creating a pivot table, or other functionality.  They don't offer these topics in the broader picture by showing how to present and report data in the most effective way.


What are the most meaningful ways to show trending?  How do you show relationships in data?  When is showing variances more valuable than showing actual data values?   How do you deal with outliers?  How do you bucket data in the most meaningful way?  How do you show im