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Data Science - Create Teams That Ask the Right Questions and Deliver Real Value (Paperback, 1st ed.)
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Data Science - Create Teams That Ask the Right Questions and Deliver Real Value (Paperback, 1st ed.)
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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
data science 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 concepts Follow practical guidance to create
and integrate an effective data science team with key roles and the
responsibilities for each team member 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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