Creating a Data-Driven Organization. Practical Advice from the Trenches
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- Nombre de pages286
- PrésentationBroché
- FormatGrand Format
- Poids0.445 kg
- Dimensions15,1 cm × 23,0 cm × 1,7 cm
- ISBN978-1-4919-1691-9
- EAN9781491916919
- Date de parution08/09/2015
- ÉditeurO'Reilly
Résumé
What do you need to become a data-driven organization ? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board. Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models - from data collection and analysis to the insights and leadership that drive concrete actions.
You'll learn what works and what doesn't, and why creating a data-driven culture throughout your organization is essential. Start from the bottom up : learn how to collect the right data the right way. Hire analysts with the right skills, and organize them into teams. Examine statistical and visualization tools, and fact-based storytelling methods. Collect and analyze data while respecting privacy and ethics.
Understand how analysts and their managers can help spur a data-driven culture. Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer.
You'll learn what works and what doesn't, and why creating a data-driven culture throughout your organization is essential. Start from the bottom up : learn how to collect the right data the right way. Hire analysts with the right skills, and organize them into teams. Examine statistical and visualization tools, and fact-based storytelling methods. Collect and analyze data while respecting privacy and ethics.
Understand how analysts and their managers can help spur a data-driven culture. Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer.
What do you need to become a data-driven organization ? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board. Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models - from data collection and analysis to the insights and leadership that drive concrete actions.
You'll learn what works and what doesn't, and why creating a data-driven culture throughout your organization is essential. Start from the bottom up : learn how to collect the right data the right way. Hire analysts with the right skills, and organize them into teams. Examine statistical and visualization tools, and fact-based storytelling methods. Collect and analyze data while respecting privacy and ethics.
Understand how analysts and their managers can help spur a data-driven culture. Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer.
You'll learn what works and what doesn't, and why creating a data-driven culture throughout your organization is essential. Start from the bottom up : learn how to collect the right data the right way. Hire analysts with the right skills, and organize them into teams. Examine statistical and visualization tools, and fact-based storytelling methods. Collect and analyze data while respecting privacy and ethics.
Understand how analysts and their managers can help spur a data-driven culture. Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer.
