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Supercharge your organization's capacity for innovation
The greatest untapped asset in an enterprise today is the ingenuity of its people. Dive into a future of work where technology empowers everyone to be a creator and builder with All Hands on Tech: The Citizen Revolution in Business Technology. This pivotal book offers a comprehensive look into the role of citizen developers-business domain experts who are driving IT-enabled innovation using technology previously reserved for professional technologists. Through case studies of citizens and citizen-enabled enterprises, the authors demonstrate how emerging technology bestows unprecedented power on these individuals and unprecedented value on the organizations that channel their efforts. They outline a transformative approach to citizen development that not only enhances companies' innovative capacity via the empowerment of domain experts, but also minimizes risk and liberates IT departments to pursue more strategic initiatives.
All Hands on Tech describes a revolution in work-powered by technology becoming more human and humans becoming more comfortable with technology. This convergence provides a clear pathway for enterprises to leverage the on-the-ground experience and insight of all employees. The authors provide diverse examples of companies that have aligned the work of their citizen developers with wider organizational goals across citizen data science, automation, and development projects. These examples demonstrate why and how to commit to the citizen revolution in your organization.
In the book, you'll:
For business leaders, executives, managers, and IT professionals looking to harness the full potential of their front-line employees and redefine the landscape of IT work, All Hands on Tech is a must-have resource. For business domain specialists and those eager to turn ideas into action, the citizen revolution democratizes information technology and empowers you to lead your organization towards a more innovative and efficient future. For subject matter experts, domain specialists, and those eager to put their ideas to work while also future-proofing their careers with invaluable skills, the citizen revolution ushers in an entirely new way of working.
THOMAS H. DAVENPORT is Distinguished Professor at Babson College, the Bodily Centennial Professor of Analytics at the UVA Darden School of Business, a Fellow at the MIT Initiative on the Digital Economy, and Senior Advisor to Deloitte. He's authored or co-authored 24 books, including Process Innovation, Working Knowledge, Competing on Analytics, and All In on AI.
IAN BARKIN is a co-founder of 2B Ventures, an investment and advisory firm, and a serial entrepreneur in RPA and AI. He has an extensive background in BPO and digital operations. He co-authored the book Intelligent Automation and has multiple LinkedIn Learning courses on technology and business.
CHASE DAVENPORT is focused on the intersection of artificial intelligence and climate change. After many years as an AI researcher at Accenture, Chase founded the Ocean Beach Institute to bring intelligent technology to coastal climate issues.
Preface xv
Introduction xxvii
Part 1 Background, History, and Context 1
Chapter 1 Why Citizen Development Is Inevitable 3
What Are Citizens? 4
Why Is Citizen Development Growing? 6
The Front Lines of Digitalization 9
Monarchy, Federalism, or Anarchy? 12
Like Seemingly Everything Else, Citizen Development Is Social 14
Making Citizen Development Safe and Effective 16
Generative AI and the Future of Citizen Development 18
Chapter 2 A History of Citizen-Led Innovation 21
Outsiders and Insiders in Business Improvement 21
The Open Innovation/Crowdsourcing Movement 23
Open Source in Software 25
The Maker Movement 26
The Growth of Citizen Science-Starting with Ornithology 28
A Slow but Pronounced Shift 30
Chapter 3 The Citizen Journey 33
Diverse Journeys 33
Initial Capabilities 34
Automation Comes Next 36
The Journey to More Sophisticated Analytics 36
The Citizen's Career in a Large Organization-for a While 37
Citizen Data Science in an Organization That Welcomes Them 40
A More Dramatic Career Transformation 41
The Citizen as Rogue Agent 43
The Citizen as Entrepreneur 44
A Citizen Data Science Startup 46
Part 2 Calling All Hands 49
Chapter 4 Citizen Development Using Low-Code/ No-Code Tools 51
How Did We Get Here? 53
It's Not Just Citizens 53
What Can an Organization Do with Low-Code/ No-Code? 54
Citizen/Professional Collaboration and Fusion Teams 56
Generative AI as a No-Code Solution 58
How to Succeed with Low-Code/No-Code 59
Management Challenges with Low-Code/No-Code 60
Chapter 5 Citizen Automation 63
Citizen Automator 64
Types of Work Well-Suited to Automation 64
Integrating Between Systems as Human APIs 65
Performing a Series of Tasks: Workflow 67
Making Decisions Based on Defined Rules 68
The Offices Where Automation Plays 69
Back Office 69
Front Office 69
Middle Office 70
The Origin Story of Broad Automation Adoption 70
Who Is a Citizen Automator? 72
Where Does Citizen Automation Belong? 73
What Is the Upside of Citizen Automation? 74
Idea/Execution Overlap 74
Prototyping the Future State 75
Increased Speed 76
Employee Experience and Loyalty 77
Fostering Cross-Departmental Innovation 77
What Can Go Wrong? 78
Overhyped and Under-Delivered 78
Paving Cow Paths 78
Technical Debt 79
The Future of Citizen Automation 80
Chapter 6 Citizen Data Science 81
Citizen Data Analysis 82
True Citizen Data Science 85
What Is the Upside of True Citizen Data Science? 87
What Kinds of People Become Citizen Data Scientists? 88
What Can Go Wrong? 90
What Kinds of Problems Should Citizen Data Scientists Take On? 92
Citizen Data Science for Generative AI 93
Citizen Data Science and Data Flow Automation 95
How Can Citizen Data Scientists Work in Data Science Teams? 96
How Will the Citizen Data Scientist Role Evolve Over Time? 98
Chapter 7 The Skills and Personality of Citizens 101
Workers of the Future, in the Future of Work 101
Personality Traits of a Citizen Developer 103
Passion 103
Curiosity and Willingness to Learn 104
Perseverance and Grit 105
Creativity and Innovation 106
Mindset 107
Entrepreneurial Mindset 107
Computational Mindset 108
Hybrid Mindset 109
Skills of the Future 109
Skills of Citizen Developers 110
Domain-Specific Skills 111
Literacies 112
Data Literacy 112
Analytics Literacy 113
Digital Literacy 115
Technical Skills 116
Human Relationship Skills 119
Communication and Collaboration Skills 120
Political Skills 121
The Final Tally 121
Chapter 8 The Citizen Champion: With and Without Air Cover 123
Shell: High Air Cover 124
Dentsu and Tinuiti: Air Cover, but Citizen Focus When Ready 125
Arcadis: Growing Air Cover Over Time 126
Quiet Growth in Citizen Development at Amtrak 128
Lessons from Citizen Development Champions 130
The Long-Term Fate of Citizen Development Champions 132
Part 3 Getting to Work 133
Chapter 9 The Citizen Tech Landscape 135
Information Technology Is Important-Duh! 136
What Makes a Tool Citizen-Ready? 136
The Evolution of Programming Languages 137
Current Citizen Tools and Platform Landscape 138
Low-Code/No-Code Application Platforms for Citizen Development 138
Citizen Automation Technologies 139
Robotic Process Automation for Execution 141
IDP: Helping RPA See 142
Other Tools in the Automation Stack 143
Citizen Data Science Technologies 143
New Developments for Citizens in Business Intelligence 145
The Generative AI Era of Citizen Development 147
Chapter 10 Benefits of Citizen Development 151
Targeting and Scaling Improvement Benefits 152
Innovation and Experimentation Benefits 155
Chapter 11 The Organizational Response to Citizen Technology 161
The Two Stereotypical Positions 161
Beyond the IT Resistance Stereotype 163
An Emerging Third Party 165
"Governance" of Citizen Technologies 167
Citizen Technology in Highly Regulated Businesses 170
Putting It All Together: Balancing Risk and Reward 172
Part 4 Setting Sail 175
Chapter 12 Preparing to Set Sail 177
Maturity Models 178
Citizen Development Maturity Model 178
Stage 0: Random Acts of Citizenry 179
Stage 1: Awareness 179
Stage 2: Acceptance and Focused Exploration 180
Stage 3: Formal Adoption 180
Stage 4: Industrialization 181
Stage 5: Absorption 181
Cast of Characters 182
Leading Roles 182
Citizen Developers 183
Citizen Automators 183
Citizen Data Scientists 184
A Citizen by Any Other Name 184
Supporting Roles 184
Citizen Champion 184
Citizen Coach 184
Citizen Librarian 184
Stakeholders 185
The 4G Approach to Citizen-Readiness 186
Chapter 13 Genesis 187
Genesis Fork 1: Submit or Just Commit 187
Submit, Then Commit 188
Commit 189
Fork 2: Create or Orchestrate 190
Create Your Citizenry 191
Orchestrate Your Citizenry 192
Fork 3: Revolution or Evolution 193
Revolution 193
Evolution 194
Starting Strong with the Fundamentals 195
Benefits 195
Talent 197
Key Performance Indicators 197
Chapter 14 Governance 201
Fork 4: Tolerate Risk or Avoid Risk 202
Risk Tolerance 202
Risk Avoidance 203
Fork 5: Bottom Up vs. Top Down 204
Top-Down Governance 204
Bottom-Up Governance 205
Fork 6: Centralize or Federate 206
Centralized Governance 207
Federated Governance 207
Enabling a Successful Voyage 209
Risks 209
Organizational Structure 211
Governance Models 212
Chapter 15 Guidance 215
Fork 7: Solo or in Teams 215
Go Alone 215
Go Together 216
Fork 8: Direct or Explore 217
Direct Instruction 218
Project-Based Learning 219
Nurturing the Crew 220
Training 220
Levels of Citizen Certification 221
Citizen Lite 224
Community Building 224
Ideation and Creativity 224
Chapter 16 Guardrails 227
Fork 9: Stewards or Shields 228
Stewards 228
Shields 229
Facilitating Best Behaviors 230
Human Guardrails 230
Automated Guardrails 231
Financial Guardrails 231
Chapter 17 The Future of Citizen Development 235
Citizen Development: Too Pervasive to Have a Name? 236
The Future of the IT Function and IT People 237
Coaching and Assessing, Not Developing 238
Ultimate Fusion 239
Broader Tech and Data Leadership 240
The Role of AI 241
Appendix A Citizen-Ready Checklist 245
Preparing to Set Sail 245
Genesis 246
Governance 247
Guidance 248
Guardrails 250
Appendix B Citizen Development Challenges Organizations Are Likely to Face 253
Appendix C Additional Resources 255
Acknowledgments 257
About the Authors 259
Index 261
It's fitting to begin this book with the story of an unlikely hero of citizen development. Jay Crotts is a semi-retired former chief information officer of Shell PLC, the energy giant. Jay Crotts was executive vice president and group CIO of Shell from 2015 to 2023, and about halfway through his tenure he had a bit of a revelation. Shell was in a race to digitalize its business, and Crotts just didn't feel like it was happening fast enough. His global IT function had a multibillion-dollar annual budget and more than 8,000 staff and contractors, but they still couldn't satisfy the demand for applications, automations, and analytical models around the company.
Crotts kept telling his people that they needed to get closer to the business in order to create value, but he realized that there were plenty of people in the business who could create value with IT as well. People were getting citizen-oriented tools in their hands, but he was a bit worried about what they were doing with them.
Crotts was based in the Netherlands, and the European Union had passed the General Data Protection Regulation (GDPR) in 2016. He was afraid that citizen development would get out of control and that employees would violate the law by inadvertently making available critical personal data-the medical records of sailors on Shell tankers, for example. He felt that there were lots of smart engineers and other employees at Shell doing innovative things, but there was no safe place to access and store the data they needed to use. Crotts knew those people were thinking, "I want to be productive, but there is no place to do it. Crotts' group says no, because there is a risk of GDPR violations or cybersecurity issues." He looked around the energy industry and elsewhere to see if anyone else had solved the problem, and they hadn't. Many CIOs were still viewing citizen development as undesirable "shadow IT," but Crotts saw it as a way to bring it out of the shadows and into the light.
So Crotts put Nils Kappeyne, one of his trusted business unit CIOs, in charge of the do-it-yourself (DIY) initiative. They didn't want to call it citizen development because they were afraid engineers might think they were being taught how to vote. Crotts thought the initiative would work out well, but he wasn't sure. The critical thing, he believed, was finding a safe place to access and store data for citizen use. He told Kappeyne to find a place to put the data, and then data owners-which already existed-throughout the business would determine access to it. He said to Kappeyne at the time, "What will bring people to your platform is where the data is."
As the DIY program was rolling out, Shell was deepening its partnership with Microsoft, and that vendor was making big bets on both cloud and citizen development. The data at Shell for citizen use ended up being stored in Microsoft's Azure cloud. And the vendor had also just introduced its Power Platform-a collection of citizen-oriented tools for application development, business intelligence, web portal development, and later workflow automation. Crotts and Kappeyne placed their DIY bets on these Microsoft tools and a few others from vendors like Salesforce.com.
Salesforce.com
Kappeyne thought that he could keep his day job as a business unit CIO while getting DIY going, but Crotts felt otherwise. "It needs to be big," he said. Kappeyne, already a Shell VP, suggested that the program wasn't worthy of a VP title, and he could take a demotion. "It needs to be big," Crotts said, "and you should keep your VP title." Kappeyne also thought that he could establish the DIY program within a couple of months. Crotts doubted it but didn't say so. Kappeyne stayed in the job for a couple of years and then reluctantly handed it off to somebody else.
Crotts also supported a collaboration with Shell's research function on citizen data science. Dan Jeavons, the head of that initiative, reported into the research organization but was formally included in the IT leadership. Shell collaborated with Microsoft Azure to be able to run models at scale in the cloud. As with the application development DIY program, data was provided to the data scientists, "and they could go to town," Crotts remarked. The DIY approach, accompanied by effective cloud security, enabled data science to thrive. It was a good fit for a culture where, as Crotts put it, "engineers-many of them come out of school knowing Python these days-question a model if someone else develops it."
Some IT people worried about losing their jobs, but Crotts thought that they-or some, at least-would move from being developers to coaches and enablers. And that is what has happened. Shell still has plenty of professional developers, and in many cases the DIY program has brought the business and the IT people into closer collaboration.
One influential aspect of the Shell DIY approach to citizen development is the "zone" program, in which different zones (green, amber, red) get treated differently in terms of governance. We'll describe the approach later in the book, but suffice it to say here that it has been adopted by a variety of organizations. Microsoft has endorsed it for Power Platform customers, for example, and the Project Management Institute has adopted it for its teachings on citizen development. Several companies we spoke to said they had adopted the Shell zone approach.
But perhaps even more influential for the worldwide spread of citizen development has been the idea that a corporate IT organization can get behind citizen technology activity and give it the support it needs to thrive. Crotts is pretty modest about this achievement:
People really liked it, and it's one of the fastest things going. A significant number of engineers adopted DIY, and we've given them credit for the work. The tools are easy to use, and the data is there. Once other CIOs understood it they thought it made sense.
Crotts mentioned several DIY projects that have enabled energy transition activities or substantially reduced fuel consumption in Shell operations. He doesn't say that citizen development has transformed the huge company, but as he put it, "We've hit singles all across the globe."
One shining example of citizen automation turning a domain expert into a digital transformation leader is Benjamin Berkowitz. A self-professed "finance guy," he was motivated to solve operational and budgetary challenges in the hospitals where he worked. He studied history and psychology in college and earned an MBA. He's now pursuing a PhD in management and organizational behavior. He wanted to know what made enterprises tick.
Berkowitz began his career in the healthcare field, working first as a financial analyst at Boston Children's Hospital before moving to Mass General Brigham (MGB). Based in Boston, MGB is the largest hospital-based research enterprise in the United States, with revenues of nearly $19 billion and more than $2 billion in annual research funding. It is, in short, a hospital with a lot of work for its finance department. Berkowitz's 11-year career at MGB afforded him the chance to experience and impact almost every part of it. Starting as a team lead for payer strategy and contracting, he then moved to lead revenue calculation and revenue finance systems, finally becoming director of financial analysis and strategy, and chief of staff of revenue cycle operations-the lifeblood of any healthcare business, since it's how the organization gets paid for its work. But on this journey he found himself doing more than simply overseeing financial functions.
Berkowitz had always been interested in making work processes more efficient and effective. Early in his career that meant using Microsoft Access to automate reporting. He then graduated to using SQL to process large data sets in order to process revenue models. This trend then accelerated in his revenue cycle job at MGB. In his own words, Berkowitz was "bouncing around from department to department, automating as he was going." He didn't know he was a citizen automator; he hadn't even heard the term. He was just applying his penchant to problem-solve to challenges as they presented themselves and using the automation tools at his disposal.
Berkowitz's pivot to becoming a full-time champion of automation began while looking at budgets, as finance people are wont to do. The growth of MGB's operations over the previous decade had been strong. Staff levels grew accordingly. But Berkowitz was now facing a challenge. He had 800 people in the RevCycle and Shared Services Center and no end in sight to growth in hiring. The challenge was compounded by talent shortages and rapid wage inflation. Clearly the status quo wasn't sustainable. As part of a budget planning conversation, he said to his VP, "There must be a better way for us to manage all of this work."
His next steps (highlighted in an article1 Berkowitz coauthored) addressed the growing scale of work to track and catalog an increasing number of healthcare providers. The current system was slow and inefficient. It took three different hospital administrators to collect, aggregate, and export data, all of which...
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