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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

Benefits of being data-driven

Transforming organizations into data-driven ones is not an easy task. It requires a clear focus on the objectives we want to achieve, as this transformation requires a lot of resources and creates a lot of inconveniences when changing the current process to make use of data for informed decision-making.

Wim Van Der

  • Which areas in these companies can benefit the most from the use of data science and engineering?

It depends on the company and its identity; I do not think there is one solution that suits all.

  • How can data be used to drive revenue in the context of economic contraction?

Economic revenue should no longer be the core drive for companies. Value in a wider perspective is. So, do not stare at huge piles of economic revenue; also look at ecological revenue.

  • How can data be used to reduce costs in operations in the context of rising costs in the supply chain?

Start with a DevOps team to analyze your...

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