Book Image

The Art of Data-Driven Business

By : Alan Bernardo Palacio
Book Image

The Art of Data-Driven Business

By: Alan Bernardo Palacio

Overview of this book

One of the most valuable contributions of data science is toward helping businesses make the right decisions. Understanding this complicated confluence of two disparate worlds, as well as a fiercely competitive market, calls for all the guidance you can get. The Art of Data-Driven Business is your invaluable guide to gaining a business-driven perspective, as well as leveraging the power of machine learning (ML) to guide decision-making in your business. This book provides a common ground of discussion for several profiles within a company. You’ll begin by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but you’ll soon get to the meat of the book and explore the many and varied ways ML with Python can be applied to the domain of business decisions through real-world business problems that you can tackle by yourself. As you advance, you’ll gain practical insights into the value that ML can provide to your business, as well as the technical ability to apply a wide variety of tried-and-tested ML methods. By the end of this Python book, you’ll have learned the value of basing your business decisions on data-driven methodologies and have developed the Python skills needed to apply what you’ve learned in the real world.
Table of Contents (17 chapters)
Part 1: Data Analytics and Forecasting with Python
Part 2: Market and Customer Insights
Part 3: Operation and Pricing Optimization

Challenges of data-driven strategies

There are no out-of-the-box strategies that we can implement to champion a data-driven transformation in a company, so each of these strategies needs to be tailor-made according to the needs of these organizations.

We asked the data leaders about the usual challenges they faced when transforming these organizations into fast-paced, data-driven companies.

Bob Wuisman

  • What are the main challenges of creating a data-driven culture in business?

70 percent of the time, such an attempt fails. Culture and politics. Siloed departments that do not want to collaborate and a power-oriented culture. The lack of sufficient technology. Data quality is not safeguarded, and technology is centralized instead of organization performance.

A project is led by a CIO, CTO, or CFO. A CDO or a similar position should lead and report to the CEO or COO.

  • What are the main technical challenges of creating a data-driven culture in business?
  • ...