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{"id":28429,"date":"2023-10-16T14:21:38","date_gmt":"2023-10-16T14:21:38","guid":{"rendered":"https:\/\/www.testbanksgoo.com\/?post_type=product&p=28429"},"modified":"2024-03-12T10:11:14","modified_gmt":"2024-03-12T10:11:14","slug":"introduction-to-business-analytics-1st-edition-by-vernon-richardson","status":"publish","type":"product","link":"https:\/\/www.testbanksgoo.com\/product\/introduction-to-business-analytics-1st-edition-by-vernon-richardson\/","title":{"rendered":"Introduction to Business Analytics 1st Edition By Vernon Richardson – Solution Manual"},"content":{"rendered":"

Business Analytics is a crucial field in the modern business landscape, and the first edition of “Introduction to Business Analytics” by Vernon Richardson provides a comprehensive guide for students looking to develop the necessary skills. The book emphasizes the importance of asking the right questions, utilizing common office tools like Excel, Tableau, and Power BI to analyze data effectively, and interpreting results accurately to drive informed business decisions.<\/p>\n

The SOAR analytics model introduced in the book consists of four key steps: Specify the question, Acquire the data, Analyze the data, and Report the results. This model serves as a framework throughout the text, guiding students through various types of data analysis that are essential for business analysts. The lab activities at the end of each chapter reinforce this analytical process, while the capstone projects in the final chapter allow students to apply the entire SOAR model in real-world scenarios.<\/p>\n

The book covers a range of topics essential for business analytics professionals, including Marketing Analytics, Accounting Analytics, Financial Analytics, Operations Analytics, and Advanced Business Analytics. In addition, tutorials on Excel, Tableau, Power BI, and basic statistics are included in the appendices to help students build proficiency in these tools and concepts.<\/p>\n

With a structured approach and hands-on activities, “Introduction to Business Analytics” equips students with the knowledge and skills needed to excel in the field of business analytics and make meaningful contributions to organizations.<\/p>\n

### FAQ<\/p>\n

#### 1. What is the SOAR analytics model?<\/p>\n

The SOAR analytics model is a framework introduced in “Introduction to Business Analytics” by Vernon Richardson, consisting of four steps: Specify the question, Acquire the data, Analyze the data, and Report the results. This model guides students through the analytical process and helps them develop a business analytics mindset.<\/p>\n

#### 2. What tools are covered in the book?<\/p>\n

The book covers common office tools like Excel, Tableau, and Power BI, along with tutorials in the appendices to help students gain proficiency in these tools. Additionally, basic statistics concepts are included to support data analysis.<\/p>\n

#### 3. How are the concepts in the book reinforced?<\/p>\n

The book includes lab activities at the end of each chapter that follow the SOAR analytics model to reinforce the analytical process. The capstone projects in the final chapter provide opportunities for students to apply the concepts learned throughout the text.<\/p>\n

### Conclusion<\/p>\n

“Introduction to Business Analytics” by Vernon Richardson offers a comprehensive overview of essential concepts and tools in the field of business analytics. By emphasizing the importance of asking the right questions, utilizing common data analysis tools, and interpreting results effectively, the book provides students with a solid foundation to excel in the rapidly evolving world of business analytics. With its practical approach and real-world examples, this first edition serves as a valuable resource for students aspiring to become proficient business analysts.<\/p>\n","protected":false},"excerpt":{"rendered":"

<\/i> \u00a0 Format:\u00a0<\/strong>Downloadable ZIP File<\/p>\n

<\/i> \u00a0 Resource Type:\u00a0<\/strong>Solution Manual<\/p>\n

<\/i> \u00a0 Duration:\u00a0<\/strong>Unlimited downloads<\/p>\n

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