Overview
- Shows how to create data science teams from existing talent in organizations
- Teaches how to cost-efficiently extract maximum business value from the organizations’ data
- Presents the data science life cycle (DSLC) to model the essential processes and practices for delivering value
- Details the use of sprints and storytelling to help teams stay on track and adapt to new knowledge
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Table of contents (25 chapters)
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Front Matter
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Defining Data Science
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Front Matter
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Building Your Data Science Team
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Front Matter
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Delivering in Data Science Sprints
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Front Matter
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Asking Great Questions
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Front Matter
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Keywords
About this book
Learn how to build a data science team within your organization rather than hiring from the outside. Teach your team to ask the right questions to gain actionable insights into your business.
Most organizations still focus on objectives and deliverables. Instead, a data science team is exploratory. They use the scientific method to ask interesting questions and run small experiments. Your team needs to see if the data illuminate their questions. Then, they have to use critical thinking techniques to justify their insights and reasoning. They should pivot their efforts to keep their insights aligned with business value. Finally, your team needs to deliver these insights as a compelling story.
Insight!: How to Build Data Science Teams that Deliver Real Business Value shows that the most important thing you can do now is help your team think about data. Management coach Doug Rose walks you through the process of creating and managing effective datascience teams. You will learn how to find the right people inside your organization and equip them with the right mindset. The book has three overarching concepts:
- You should mine your own company for talent. You can’t change your organization by hiring a few data science superheroes.
- You should form small, agile-like data teams that focus on delivering valuable insights early and often.
- You can make real changes to your organization by telling compelling data stories. These stories are the best way to communicate your insights about your customers, challenges, and industry.
What Your Will Learn:
- Create data science teams from existing talent in your organization to cost-efficiently extract maximum business value from your organization’s data
- Understand key data science terms and conceptsÂ
- Follow practical guidance to create and integrate an effective data science teamwith key roles and the responsibilities for each team memberÂ
- Utilize the data science life cycle (DSLC) to model essential processes and practices for delivering value
- Use sprints and storytelling to help your team stay on track and adapt to new knowledge
Who This Book Is For
Data science project managers and team leaders. The secondary readership is data scientists, DBAs, analysts, senior management, HR managers, and performance specialists.
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About the author
Bibliographic Information
Book Title: Data Science
Book Subtitle: Create Teams That Ask the Right Questions and Deliver Real Value
Authors: Doug Rose
DOI: https://doi.org/10.1007/978-1-4842-2253-9
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Doug Rose 2016
Softcover ISBN: 978-1-4842-2252-2Published: 18 November 2016
eBook ISBN: 978-1-4842-2253-9Published: 17 November 2016
Edition Number: 1
Number of Pages: XIX, 251
Number of Illustrations: 2 b/w illustrations, 43 illustrations in colour
Topics: Software Engineering, Project Management, Big Data/Analytics, Software Management