This book is for senior managers and executives who are contemplating hiring, or have already made the commitment to hire and manage a team of individuals with the purpose of designing, building and implementing applications and systems based on advanced analytics and artificial intelligence.
This book is intended for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building and delivering business success through advanced analytics and artificial intelligence systems and applications. Having at least 5 to 10 years of experience in driving your organization to a higher level of efficiency will help you to fully understand the material covered.
Chapter 1, An Overview of Successful and High-Performing Analytics Teams, sets the stage and describes the fundamental organization and principles involved in building and managing an analytics team.
Chapter 2, Building an Analytics Team, discusses and describes who to hire, how to construct and manage a team, and the building blocks of beginning analytic operations.
Chapter 3, Managing and Growing an Analytics Team, begins the discussion of engagement with other parts of the organization. The chapter delves into engaging functional managers, creating internal interest and beginning the cadence of building analytical applications.
Chapter 4, Leadership for Analytics Teams, outlines how to lead an analytics team and how to represent analytics leadership to the organization.
Chapter 5, Managing Executive Expectations, provides an overview of and guidance on how to engage with C-level executives to gain their support, buy-in, and funding for analytics teams, projects, and a corporate wide analytics engagement and process.
Chapter 6, Ensuring Engagement with Business Professionals, describes the best way to engage with functional business leaders and managers to gain their support and to ensure that they guide their teams to engage in the analytics process.
Chapter 7, Selecting Winning Projects, outlines the process of selecting projects and the optimal method of building a portfolio of projects for each team member and the team as a whole.
Chapter 8, Operationalizing Analytics – How to Move from Projects to Production, outlines the pitfalls and problems associated with moving from a project mode into a production cycle. The chapter describes how to move through and past the challenges in a successful manner.
Chapter 9, Managing the New Analytical Ecosystem, discusses how to manage the organization and the analytics team in a manner that enables the team to continue to innovate while supporting the growing body of analytical applications and models that are built and deployed.
Chapter 10, The Future of Analytics – What Will We See Next?, outlines what we can expect to see in analytics in the coming years.
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://static.packt-cdn.com/downloads/9781800203167_ColorImages.pdf.
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