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Data as a Product
Daniel Garfield
"Data as a Product: Leveraging Data as a Marketable Product" is an insightful guide that explores the transformative power of data in the modern world and how it can be harnessed as a valuable asset. In today's data-driven era, businesses have recognized the immense potential of data, moving beyond mere information to view it as a marketable product.
This book takes you on a journey through the evolution of data, from its historical significance to its current role in shaping industries and driving innovation. You'll discover the concept of treating data as a product and learn how to identify and create valuable data products that cater to specific target audiences.
The book delves into the intricacies of the data product lifecycle, covering key stages such as ideation, development, launch, and maintenance. You'll gain practical insights into collecting, cleaning, and organizing data, as well as leveraging data science and analytics to extract meaningful insights that drive decision-making.
"Data as a Product" also explores monetization strategies for data products, providing guidance on pricing, establishing partnerships, and maximizing profitability. Effective marketing and selling techniques for data products are examined, along with the importance of data governance, security, and privacy to ensure ethical and compliant practices.
"Data as a Product: Leveraging Data as a Marketable Product" provides a comprehensive roadmap for leveraging data as a valuable asset in today's competitive landscape. Embrace the power of data and unlock new opportunities for growth and innovation.
Duration - 4h 36m.
Author - Daniel Garfield.
Narrator - Ray Collins.
Published Date - Friday, 31 January 2025.
Copyright - © 2025 Daniel Garfield ©.
Location:
United States
Description:
"Data as a Product: Leveraging Data as a Marketable Product" is an insightful guide that explores the transformative power of data in the modern world and how it can be harnessed as a valuable asset. In today's data-driven era, businesses have recognized the immense potential of data, moving beyond mere information to view it as a marketable product. This book takes you on a journey through the evolution of data, from its historical significance to its current role in shaping industries and driving innovation. You'll discover the concept of treating data as a product and learn how to identify and create valuable data products that cater to specific target audiences. The book delves into the intricacies of the data product lifecycle, covering key stages such as ideation, development, launch, and maintenance. You'll gain practical insights into collecting, cleaning, and organizing data, as well as leveraging data science and analytics to extract meaningful insights that drive decision-making. "Data as a Product" also explores monetization strategies for data products, providing guidance on pricing, establishing partnerships, and maximizing profitability. Effective marketing and selling techniques for data products are examined, along with the importance of data governance, security, and privacy to ensure ethical and compliant practices. "Data as a Product: Leveraging Data as a Marketable Product" provides a comprehensive roadmap for leveraging data as a valuable asset in today's competitive landscape. Embrace the power of data and unlock new opportunities for growth and innovation. Duration - 4h 36m. Author - Daniel Garfield. Narrator - Ray Collins. Published Date - Friday, 31 January 2025. Copyright - © 2025 Daniel Garfield ©.
Language:
English
Opening Credits
Duration:00:00:10
Introduction
Duration:00:12:58
Chapter 1 The evolution of data
Duration:00:15:25
Chapter 2 Understanding data as a product
Duration:00:15:43
Chapter 3 The data product lifecycle
Duration:00:53:33
Chapter 4 Building data products
Duration:00:13:47
Chapter 5 Monetizing data products
Duration:00:48:24
Chapter 6 Marketing and selling data products
Duration:00:14:03
Chapter 7 Data governance and security
Duration:00:16:19
Chapter 8 Scaling and growing data products
Duration:00:43:16
Chapter 9 Challenges and ethical considerations
Duration:00:16:23
Chapter 10 The future of data products
Duration:00:26:21
Ending Credits
Duration:00:00:11