Building Analytics Teams
eBook - ePub

Building Analytics Teams

Harnessing analytics and artificial intelligence for business improvement

John K. Thompson

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  1. 394 pagine
  2. English
  3. ePUB (disponibile sull'app)
  4. Disponibile su iOS e Android
eBook - ePub

Building Analytics Teams

Harnessing analytics and artificial intelligence for business improvement

John K. Thompson

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Informazioni sul libro

Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AI

Key Features

  • Learn to create an operationally effective advanced analytics team in a corporate environment
  • Select and undertake projects that have a high probability of success and deliver the improved top and bottom-line results
  • Understand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your team

Book Description

In Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success.

The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs.

The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects.

By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization.

What you will learn

  • Avoid organizational and technological pitfalls of moving from a defined project to a production environment
  • Enable team members to focus on higher-value work and tasks
  • Build Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organization
  • Outsource certain projects to competent and capable third parties
  • Support the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analytics
  • Analyze the operational area, the processes, the data, and the organizational resistance

Who this book is for

This book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.

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Informazioni

Anno
2020
ISBN
9781800205185
Edizione
1

Index

Symbols
enterprise resource planning (ERP) 51
STEM (Science, Technology, Engineering, and Math). 210
A
adoption process
executing 310, 311, 312
advanced analytics 1, 20, 174
advanced analytics and AI team 58
analytics professionals
architecture/structure options 82
building 57
building, with Artisanal approach 83
building, with Factory approach 86
building, with Hybrid approach 88, 91
challenges
context and considerations 58, 59, 61
continual learning and data literacy 76, 77
disciplinary action 71, 72
diversity 65, 66, 67
engaging, with with functional teams 60
evolved leadership 75
example activities 101
experts 66, 67
fit to be found concept 74
fixed mindset people 106
improving, with innovation ideas 149, 61, 149, 150
interface 58
internships and co-op programs approach 64
internships and co-op programs approach, challenges 118, 120
junior data scientists 110
labor market dynamics 73
leadership 127, 128, 130
lifelong learning mindset 107
managerial focus and balance 95
managing 95
neurodiverse talent, hiring 70
neurodiversity 68
open-mindset people 106
optimism 142, 143
organizational culture 199, 200, 202
organizational maxims
people mindsets 104
personal project portfolio, developing 113, 115, 116
productivity premium 107, 108
senior data scientists 112
shortcomings 237
sponsor and stakeholder management 96
supportive and engaged team 144, 145, 146
talented and skilled individuals 121
talent pipeline 118
team cohesion, managing 147, 148
team dynamics, managing 116
team members 121
team members. qualities 123
working 108, 110
Advanced Analytics and Artificial Intelligence (AA&AI) 5, 7, 8, 9, 10, 11, 12, 14, 18
Advanced Analytics and Artificial Intelligence Center of Excellence (AA&AI COE) 5, 7
Advanced Analytics and Artificial Intelligence Center of Excellence (AA&AI COE)
8
advanced analytics projects 55
advanced analytics team , 177
downsides 56
AI models
training 326, 329
AI systems 34, 37
Alhamdoosh, Monther 158
analytical applications
used, for altering work of functional team 261, 262, 263
analytical applications and models
building, versus operation 291, 293, 294, 295
building, versus updating 295, 297, 298
analytical environments
building, individual characteristics 49, 51
analytical findings
translating 308, 30...

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