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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

Creating effective data teams

Data initiatives require the implementation of data teams with specialized skills, as well as a multidisciplinary approach as the technology that supports the data strategy sits on top of the commercial strategy.

We asked the data leaders their perspective on data teams; here are their answers.

Florian Prem

  • What does a good data team look like?

It depends on the mandate of the CDO. I normally organize into governance, data analytics, and data value creation/product. Then, I build cross-domain teams for agile product delivery (IT, business, and data).

  • What are the most important topics to consider when leading a data team?

Understand your team, understand your business, and understand your technology.

  • What are the best practices for business decision-makers to collaborate with highly specialized data teams?

See what I stated previously, hire a tech and business-savvy CDO, and build enterprise-wide/multiple...

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