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The Art of Data-Driven Business

You're reading from   The Art of Data-Driven Business Transform your organization into a data-driven one with the power of Python machine learning

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611036
Length 314 pages
Edition 1st Edition
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Author (1):
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Alan Bernardo Palacio Alan Bernardo Palacio
Author Profile Icon Alan Bernardo Palacio
Alan Bernardo Palacio
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Data Analytics and Forecasting with Python
2. Chapter 1: Analyzing and Visualizing Data with Python FREE CHAPTER 3. Chapter 2: Using Machine Learning in Business Operations 4. Part 2: Market and Customer Insights
5. Chapter 3: Finding Business Opportunities with Market Insights 6. Chapter 4: Understanding Customer Preferences with Conjoint Analysis 7. Chapter 5: Selecting the Optimal Price with Price Demand Elasticity 8. Chapter 6: Product Recommendation 9. Part 3: Operation and Pricing Optimization
10. Chapter 7: Predicting Customer Churn 11. Chapter 8: Grouping Users with Customer Segmentation 12. Chapter 9: Using Historical Markdown Data to Predict Sales 13. Chapter 10: Web Analytics Optimization 14. Chapter 11: Creating a Data-Driven Culture in Business 15. Index 16. Other Books You May Enjoy

Summary

In this chapter, we explored the distinct parts that constitute a data transformation for companies that want to become data-driven by leveraging the perspective and experience of data leaders with extensive knowledge and experience in leading digital and data transformations.

These approaches allow not only companies to transform but also leaders and managers to adapt to the new skills and processes required to implement a successful data strategy. By doing so, they have a clear goal of how the company will benefit from these efforts, how to create and lead data teams, as well as how to consider the implications of enabling digital and data transformation.

Overall, the objective of this book has been to help business leaders, managers, and enthusiasts implement ready-to-use recipes that seek to undercover insights about consumers, their behavior patterns, how they perceive prices, how they effectively make recommendations, and, in general, how to complement the commercial...

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