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Item #:
19088164
Marketing Analytics: Data-Driven Techniques with Microsoft Excel
Item #:
19088164
ALL 3778
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What Stands Out
Comprehensive Approach
Offers a thorough exploration of marketing analytics, equipping users with essential skills in data-driven techniques specifically tailored for Microsoft Excel, enhancing their analytical capabilities and effectiveness.
User-Friendly Tools
Utilizes Excel's powerful functionalities, making sophisticated data analysis accessible to marketing professionals and students, enabling them to turn complex data into actionable insights effortlessly.
Real-World Applications
Includes practical examples and case studies, allowing users to apply learned techniques directly to real marketing challenges, thereby improving their decision-making and strategic planning abilities.
Product Details
| Publisher | Wiley |
| Publication date | January 13, 2014 |
| Edition | 1st |
| Language | English |
| Print length | 720 pages |
| ISBN-10 | 111837343X |
| ISBN-13 | 978-1118373439 |
| Item Weight | 2.64 pounds (1.2 kg) |
| Dimensions | 7.4 x 1.6 x 9.2 inches (18.8 x 4.1 x 23.4 cm) |
Who Should Buy?
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Data Analysts
Ideal for data analysts seeking to enhance their skills in marketing analytics using Excel for data visualization.
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Marketing Professionals
Great for marketers wanting to leverage data-driven techniques to enhance campaign effectiveness and ROI analysis.
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Students and Educators
Suitable for business students and educators looking for comprehensive resources on marketing analytics and practical Excel applications.
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Non-Excel Users
Not suitable for individuals unfamiliar with Excel, as the book heavily relies on Excel for marketing analyses.
Product Description
Marketing Analytics: Data-Driven Techniques with Microsoft Excel
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Research Editorial Review
Marketing Analytics: Data-Driven Techniques with Microsoft Excel offers an extensive look at employing Excel for marketing analyses, perfectly blending its functionality with essential marketing concepts. Many users found the detailed exercises and readily available supplementary material, such as worksheets on the publisher's website, to enhance their understanding, especially for those already familiar with Excel formulas. However, some novice users might face challenges due to minor omissions in procedural instructions, making prior knowledge advantageous. The book's concise approach ensures that both marketing practitioners and students can derive substantial benefits as it covers a broad range of current Excel applications tailored for analytical purposes.
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Pros
- Comprehensive coverage of Excel in marketing analytics
- Well-structured exercises to reinforce learning
- Supplementary materials available online for practice
- Written by a knowledgeable author in the field
- Excellent for those familiar with Excel functions
Cons
- Some exercises require registration for related materials.
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