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Book Cover
E-book
Author Kolokolov, Alex, author

Title Make your data speak : creating actionable data through Excel for non-technical professionals / Alex Kolokolov
Published New York : Apress, 2022

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Description 1 online resource (261 pages) : illustrations (black and white, and colour)
Contents Chapter 1: Data preparation -- Chapter 2. Dashboard assembling -- Chapter 3. Anatomy of diagrams -- Chapter 4. Final Design -- Chapter 5. Corporate identity -- Chapter 6. Data visualization rules -- Conclusion
Summary Gather and analyze data successfully, identify trends, and then create overarching strategies and actionable next steps - all through Excel. This book will show even those who lack a technical background how to make advanced interactive reports with only Excel at hand. Advanced visualization is available to everyone, and this step-by-step guide will show you how. The information in this book is presented in an accessible and understandable way for everyone, regardless of the level of technical skills and proficiency in MS Excel. The dashboard development process is given in the format of step-by-step instructions, taking you through each step in detail. Universal checklists and recommendations of a practicing business analyst and trainer will help in solving various tasks when working with data visualization. Illustrations will help you perceive information easily and quickly. Make Your Data Speak will show you how to master the main rules, techniques and tricks of professional data visualization in just a few days. You will: See how interactive dashboards can be useful for a business Review basic rules for building dashboards Understand why it's important to pay attention to colors and fonts when developing a dashboard Create interactive management reports in Excel
Notes Includes index
Print version record
SUBJECT Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775
Microsoft Excel (Computer file) fast
Subject Data structures (Computer science)
Database management.
Big data.
Sampling (Statistics)
Big data
Data structures (Computer science)
Database management
Sampling (Statistics)
Form Electronic book
ISBN 9781484289426
1484289420