Rewired the McKinsey guide to outcompeting in the age of digital and AI

In Rewired, the world's most influential management consulting firm, McKinsey & Company, delivers a road-tested, how-to manual their own consultants use to help companies build the capabilities to outcompete in the age of digital and AI. Many companies are stuck with digital transformations...

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Detalles Bibliográficos
Otros Autores: Lamarre, Eric, author (author), Smaje, Kate, author, Zemmel, Rodney, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, Inc [2023]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009752735406719
Tabla de Contenidos:
  • Cover Page
  • Title Page
  • Copyright
  • Contents
  • Introduction: The enterprise capabilities that turn digital and AI into a source of ongoing competitive advantage
  • Digital as a source of competitive advantage
  • The "How"
  • What this book is . . . and isn't
  • It's still Day 1 for digital and AI transformation
  • Notes
  • Section One: Creating the Transformation Roadmap: A business-led roadmap is the blueprint for a successful digital and AI transformation
  • Chapter 1 Get your top team inspired and aligned
  • Vision
  • Alignment
  • Commitment
  • Notes
  • Chapter 2 Choose the right transformation "bite size"
  • The domain-based approach
  • Prioritizing domains
  • Note
  • Chapter 3 Have business leaders define what's possible
  • How to think about emerging technologies such as Generative AI
  • Note
  • Chapter 4 Figure out what resources you need to achieve what you want
  • Pod composition
  • Pod archetypes
  • Estimating overall talent needs
  • Note
  • Chapter 5 Build capabilities for now and the next decade
  • Assessing foundational digital capabilities
  • Scoping your capability-building needs
  • Partnering to accelerate capability building
  • Chapter 6 The digital roadmap is a contract for your C-suite
  • Chapter 7 The ultimate corporate team sport
  • The CEO
  • The chief transformation officer
  • The CTO, CIO, and CDO
  • The chief data officer
  • The CHRO
  • The CFO
  • The chief risk officer
  • Leaders of business lines and business functions
  • Getting Ready Section One
  • Section Two: Building Your Talent Bench: Creating an environment where digital talent thrives
  • Chapter 8 Core versus noncore capabilities - strategic talent planning
  • What talent do you need in-house?
  • Understanding the digital talent you have
  • Determining the talent gap
  • Notes
  • Chapter 9 The talent team that can build your digital team.
  • Chapter 10 Hiring digital talent when they're actually interviewing you
  • A relevant, compelling, and authentic employee value proposition
  • A recruiting experience built around the candidate
  • Finding talent internally
  • New employee onboarding journey
  • Diversity, equity, and inclusion
  • Notes
  • Chapter 11 Recognize distinctive technologists
  • Adjust compensation to pay for skills
  • Use tech competency markers in performance management
  • Chapter 12 Fostering craftsmanship excellence
  • Flexible career paths
  • Tailored learning journeys
  • Getting Ready Section Two
  • Section Three: Adopting a New Operating Model: Rearchitecting your organization and governance to be fast and flexible
  • Chapter 13 From doing agile to being agile
  • Three ceremonies that matter most to drive agile performance
  • Note
  • Chapter 14 Operating models that support hundreds of agile pods
  • Organizational building blocks
  • Operating model design options
  • Notes
  • Chapter 15 Professionalize product management
  • Career paths and professional development
  • Note
  • Chapter 16 Customer experience design: The magic ingredient
  • Notes
  • Getting Ready Section Three
  • Section Four: Technology for Speed and Distributed Innovation: Building a technology environment that empowers the entire organization to digitally innovate
  • Chapter 17 Decoupled architecture for development flexibility and operational scalability
  • From point-to-point to decoupled
  • From manual to automated via code
  • From fixed to evolving
  • From batch to real-time data processing
  • Notes
  • Chapter 18 A more surgical and value-backed approach to cloud
  • Reimagine the business domain and underlying tech concurrently
  • Determine cloud dispositions and migration approach
  • Build the cloud foundation
  • Build up your FinOps capability
  • Notes.
  • Chapter 19 Engineering practices for speed and high-quality code
  • Ground rapid software delivery in DevOps
  • Improve quality through coding standards and code maintainability
  • Instill end-to-end automation through continuous integration and continuous deployment (CI/CD)
  • Notes
  • Chapter 20 The tools to make your developers highly productive
  • Flexible and scalable development sandboxes
  • Modern and standardized tooling
  • Chapter 21 Delivering production-grade digital solutions
  • Aim for a high degree of control and auditability
  • Ensure the environment is secure, scalable, and available
  • Incorporate monitoring and observability
  • Chapter 22 Build in security and automation from the start
  • Shift left on security
  • Embed security into the SDLC using DevSecOps
  • Notes
  • Chapter 23 MLOps so AI can scale
  • Note
  • Getting Ready Section Four
  • Section Five: Embedding Data Everywhere: What it takes to make data easy to consume across the organization
  • Chapter 24 Determine what data matters
  • Identifying and prioritizing data
  • Assessing data readiness
  • Developing the data roadmap
  • Note
  • Chapter 25 Data products: The reusable building blocks for scaling
  • Identifying data products that generate value
  • Setting up data product pods
  • Developing data products
  • Note
  • Chapter 26 Data architecture, or the system of data "pipes"
  • Data architecture archetypes
  • Deciding on data capabilities and adopting reference architectures
  • Best practices for designing a data architecture
  • Notes
  • Chapter 27 Organize to get the most from your data
  • Organization
  • Talent and a data-driven culture
  • DataOps tooling
  • Governance and risk
  • Notes
  • Getting Ready Section Five.
  • Section Six: The Keys to Unlock Adoption and Scaling: How to both get users to adopt your digital solutions and scale those solutions across the enterprise
  • Chapter 28 Nail user adoption and underlying business model changes
  • Two-pronged user adoption
  • Business model adaptation
  • Establishing an adoption team
  • Notes
  • Chapter 29 Design solutions for easy replication and reuse
  • Designing an effective replication approach
  • Creating a solution reuse method - the concept of assetization
  • Chapter 30 Ensuring impact by tracking what matters
  • Performance management architecture and KPIs
  • Value creation tracking through business/operational KPIs
  • Assessing pod health
  • Change management progress
  • Tracking with a stage-gate process
  • Transformation office
  • Notes
  • Chapter 31 Managing risk and building digital trust
  • Triaging the risks
  • Reviewing policies
  • Operationalizing your risk policies
  • Raise awareness and pattern recognition
  • Note
  • Chapter 32 So, what about culture?
  • Invest initially in the leadership team
  • Build broad learning programs that can scale
  • Reskill pivotal business roles
  • Notes
  • Getting Ready Section Six
  • Section Seven: Transformation Journey Stories: An exploration of how three companies have driven successful digital and AI transformations
  • Chapter 33 Freeport-McMoRan turns data into value
  • A copper mining business's AI transformation journey
  • Note
  • Chapter 34 DBS - A multinational bank becomes a digital bank
  • A multinational bank's digital and AI transformation journey
  • Notes
  • Chapter 35 The future of play takes shape at the LEGO Group
  • A global toy brand's digital transformation
  • Note
  • Acknowledgments
  • Index
  • EULA.