Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards
Date: October 8th, 2024
ISBN: 1098152786
Language: English
Number of pages: 419 pages
Format: EPUB True PDF
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The sheer volume of business data has reached an all-time high. Using visualizations to transform this data into useful and understandable information can facilitate better decision-making. This practical book shows data analysts as well as professionals in finance, sales, and marketing how to quickly create visualizations and build savvy dashboards.
Alex Kolokolov from Data2Speak and Maxim Zelensky from Intelligent Business explain in simple and clear language how to create brilliant charts with Microsoft Power BI and follow best practices for corporate reporting. No technical background is required. Step-by-step guides help you set up any chart in a few clicks and avoid common mistakes. Also, experienced data analysts will find tips and tricks on how to enrich their reports with advanced visuals.
This book helps you understand:
• The basic rules for classic charts that are used in 90% of business reports
• Exceptions to general rules based on real business cases
• Best practices for dashboard design
• How to properly set up interactions
• How to prepare data for advanced visuals
• How to avoid pitfalls with eye-catching charts
Alex Kolokolov from Data2Speak and Maxim Zelensky from Intelligent Business explain in simple and clear language how to create brilliant charts with Microsoft Power BI and follow best practices for corporate reporting. No technical background is required. Step-by-step guides help you set up any chart in a few clicks and avoid common mistakes. Also, experienced data analysts will find tips and tricks on how to enrich their reports with advanced visuals.
This book helps you understand:
• The basic rules for classic charts that are used in 90% of business reports
• Exceptions to general rules based on real business cases
• Best practices for dashboard design
• How to properly set up interactions
• How to prepare data for advanced visuals
• How to avoid pitfalls with eye-catching charts
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