Cracking the Consulting Code: Top 10 Digital Transformation Frameworks

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Business frameworks and methodologies are structured tools to approach complex, but 

common business challenges. They allow us to cut through noise, zero in on the key issues, and 

facilitate the development of insightful recommendations. 

The importance and usefulness of business frameworks in the consulting world—especially 

among the global strategy firms—cannot be overstated. For consulting firms, these frameworks 

are part of the bread and butter that enable them to consistently deliver value to client 

organizations across industries and geographies. 

Frameworks are helpful for several reasons: 

• They provide structured and detailed process for addressing the business challenge at 

hand. 

• They help ensure that the analysis is comprehensive and that critical aspects of a 

problem are thoroughly examined. 

• They accelerate the problem-solving process, as they allow consultants to apply proven 

methods and best practices, rather than reinventing the wheel each time or wasting 

time and effort pursuing dead ends. 

Consulting firms with extensive resources pioneer their own consulting frameworks through a 

combination of research, years of accumulated project experience, as well as subject matter 

expertise gathered from working across different sectors and functional areas. This 

development process is iterative and ongoing, with frameworks being continuously refined and 

updated to reflect new business realities and emerging best practices. Each global consulting 

firm maintains an internal knowledge management library of consulting framework 

presentations. 

At FlevyPro, our team of former McKinsey and Big 4 consultants with several decades of 

combined experience have developed the largest publicly available knowledge base of 

consulting framework presentations, known as the FlevyPro Library. Each FlevyPro consulting 

framework presentation follows the standard “headline-body-bumper” design structure that is 

utilized by all the global strategy consulting firms. 

FlevyPro is currently used by 100s of consultants and business executives. Based on sales and 

downloads of the FlevyPro frameworks, here is what we found to be the top 10 Digital 

Transformation frameworks used by management consultants. 





Table of Contents 

1. Fundamentals ChatGPT & Prompt Engineering ......................................................................... 4 

2. Artificial Intelligence Strategy ........................................................................................................ 6 

3. Digital Transformation Governance ............................................................................................. 8 

4. Digital Transformation: Value Creation & Analysis ..................................................................10 

5. Digital Transformation Strategy (Primer) ..................................................................................12 

6. Pathways to Data Monetization ..................................................................................................14 

7. Artificial Intelligence Strategy: Top Priorities ............................................................................16 

8. Robotic Process Automation (RPA).............................................................................................18 

9. Digital Organization Design .........................................................................................................20 

10. Digital Platform Strategy ............................................................................................................22 

Additional Consulting Tools for Digital Transformation ..............................................................24 





1. Fundamentals ChatGPT & Prompt Engineering 

As the fastest growing app of all time, it may come as no surprise that a consulting framework 

presentation on ChatGPT took first place. This introduction to ChatGPT & Prompt 

Engineering presentation provides a comprehensive primer on the ChatGPT technology, 

developed by OpenAI, which stands for Generative Pre-trained Transformer. It's designed to 

offer foundational knowledge on how ChatGPT operates, its capabilities, and the art of Prompt 

Engineering—essentially how to effectively communicate with the model to achieve desired 

outcomes. 

This framework covers the mechanics behind GPT models, introduces ChatGPT and its user 

interface, discusses limitations and ethical considerations, and offers in-depth guidance on 

Prompt Engineering with practical examples across various applications. 

This framework is utilized primarily in educational and practical contexts to enhance 

understanding and application of ChatGPT in business settings. It's especially relevant for midsize 

to large organizations looking to leverage AI for automating customer service, enhancing 

decision-making processes, or improving efficiency in various tasks. By following this 

framework, users can: 

• Understand the underlying technology and its potential applications. 

• Learn how to craft effective prompts to elicit the best possible responses from ChatGPT. 

• Identify and apply use cases where ChatGPT can add value to their operations. 

• Navigate the limitations and ethical considerations associated with using generative AI 

technologies. 

The benefits of adopting the ChatGPT and Prompt Engineering are manifold: 

• Enhanced Efficiency: By understanding and utilizing ChatGPT, organizations can 

automate repetitive tasks, such as customer inquiries and basic operational functions, 

freeing up human resources for more complex tasks. 

• Improved Customer Experience: Automated, yet human-like interactions with 

customers can lead to faster response times and 24/7 support availability, enhancing 

overall customer satisfaction. 

• Cost Reduction: Automating tasks with ChatGPT can significantly reduce the costs 

associated with human customer support and other operational expenses. 

• Innovation and Competitive Advantage: Early adoption and effective use of cuttingedge 

technologies like ChatGPT can provide organizations with a competitive edge in 

their industry, driving innovation and attracting customers. 





• Skill Development: Learning Prompt Engineering equips teams with the ability to more 

effectively communicate with and leverage AI technologies, a skill set that's increasingly 

valuable as these technologies become more prevalent in the business world. 

This framework not only educates on the technical aspects of ChatGPT and GPT models, but 

also emphasizes the strategic application of this technology, guiding users to maximize its 

potential in their specific business contexts. 

View the full consulting presentation: https://flevy.com/browse/flevypro/introduction-tochatgpt-and-prompt-engineering-6813 

Related Management Topics: Customer Service, Customer Experience, Competitive 

Advantage, Customer Satisfaction, Human Resources 





2. Artificial Intelligence Strategy 

Organizations can use the Artificial Intelligence Strategy framework to: 

1. Align AI initiatives with Corporate Strategy: Ensuring that AI investments contribute 

to the company's broader goals and competitive differentiation. 

2. Build enterprise-wide AI capabilities: Developing the necessary skills, technologies, 

and processes across the organization to leverage AI effectively. 

3. Institutionalize AI capabilities: Integrating AI into the organizational fabric through 

standard practices and workflows to sustain innovation and growth. 

4. Implement Governance: Establishing oversight mechanisms to ensure AI is used 

ethically, responsibly, and in compliance with regulations and company policies. 

This framework serves as a guide for organizations at various stages of AI adoption, from those 

just beginning to explore AI's potential to those looking to refine and expand their existing AI 

capabilities. 

Source: https://flevy.com/browse/flevypro/artificial-intelligence-ai-strategy-2866 





Adopting an AI Strategy offers multiple advantages: 

• Competitive Edge: Organizations that effectively integrate AI into their strategies can 

gain significant competitive advantages through enhanced efficiency, innovation, 

and customer service. 

• Operational Efficiency: AI technologies like RPA and ML can automate routine tasks, 

optimize operations, and improve decision-making, leading to cost savings and 

improved productivity. 

• Enhanced Decision-Making: Augmented intelligence can provide deeper insights into 

business operations, customer behavior, and market trends, enabling more informed 

decision-making. 

• Innovation Acceleration: By embracing AI, organizations can foster an environment of 

innovation, exploring new business models and services that can disrupt traditional 

markets. 

• Risk Management: Proper governance of AI initiatives ensures ethical use, compliance 

with regulations, and mitigation of potential risks associated with AI technologies. 

Furthermore, by providing templates and tools for applying these concepts in business 

presentations, the framework ensures that organizations can communicate their AI strategies 

effectively, rallying support from stakeholders and fostering an AI-centric culture within the 

company. 

Related Management Topics: Customer Service, Competitive Advantage, Corporate Strategy 





3. Digital Transformation Governance 

The Digital Transformation Governance framework is designed to help executives navigate the 

complexities of managing a portfolio of digital initiatives in a rapidly changing environment. 

Drawing on insights from a study of over 100 companies and interviews with 55 digital 

executives, this framework outlines 7 key governing principles that are critical for linking Digital 

Transformation efforts to tangible success. These principles provide a balanced approach to 

centralizing and decentralizing control, fostering innovation, ensuring the effectiveness of 

digital initiatives, and maintaining alignment with the organization's broader goals. 

Organizations can leverage the Digital Transformation Governance framework to: 

1. Centralize Shared Information: Create a unified source of truth for information to 

enhance coordination and decision-making. 

2. Decentralize Governance Over Time: Allow flexibility and responsiveness by 

decentralizing the control of digital initiatives as they evolve. 

3. Decentralize Ideation, Centralize Idea Evaluation: Encourage widespread innovation 

across the organization while maintaining a centralized process for assessing and 

selecting ideas for development. 

4. Ensure KPIs Measure True Impact: Develop Key Performance Indicators that 

accurately reflect the success and value of digital initiatives. 

5. Focus on Compatibility, Consistency, and Continuous Integration: Prioritize 

integration and standardization across digital efforts to ensure seamless operation and 

scalability. 

6. Implement a "Fit-for-Purpose" Mapping System: Tailor governance models to suit the 

specific needs and stages of each digital initiative. 

7. Perform Scenario Analysis: Regularly analyze potential future scenarios to anticipate 

changes and adapt strategies accordingly. 

By following these principles, digital leaders can enhance their ability to govern Digital 

Transformation effectively, ensuring that initiatives are well-coordinated, aligned with strategic 

goals, and capable of adapting to the digital landscape's ever-changing nature. 

Adopting the Digital Transformation Governance framework offers several key benefits: 

• Enhanced Strategic Alignment: Ensures that digital initiatives are closely aligned with 

the organization's strategic objectives, maximizing their impact and value. 





• Increased Agility and Flexibility: Allows organizations to respond more quickly to 

changes in the digital landscape, taking advantage of new opportunities and mitigating 

potential risks. 

• Improved Innovation: By decentralizing ideation while centralizing idea evaluation, 

organizations can foster a culture of innovation, tapping into a wide range of ideas and 

perspectives. 

• Greater Efficiency: Standardizing processes and focusing on compatibility and 

continuous integration can streamline operations, reduce redundancies, and increase 

efficiency. 

• Risk Management: Scenario analysis and tailored governance models help anticipate 

future challenges and adapt strategies proactively, reducing the risk of digital initiatives 

failing to meet their objectives. 

Overall, the Digital Transformation Governance framework provides a comprehensive approach 

to managing digital initiatives, offering a structured yet flexible set of principles that can guide 

organizations through their Digital Transformation Journeys. 

Source: https://flevy.com/browse/flevypro/digital-transformation-governance-5079 

Related Management Topics: Digital Transformation, Key Performance Indicators, Scenario Analysis 





4. Digital Transformation: Value Creation & 

Analysis 

The Digital Transformation: Value Creation & Analysis framework is aimed at guiding 

organizations through the intricacies of identifying, analyzing, and maximizing the value derived 

from Digital Transformation initiatives. It emphasizes the importance of a comprehensive 

approach to Value Creation, beyond just customer-facing operations, to encompass the entire 

Digital Value Chain. 

By exploring sources of digital value, conducting Digital Value Chain Analysis, assessing Digital 

Transformation opportunities, and understanding the horizons of Digital Transformation, 

organizations can uncover and exploit the full spectrum of value from their digital efforts. 

Organizations can apply this framework through several key activities: 

• Identifying Sources of Digital Value: Recognizing the various areas within the 

organization where digital technologies can create value, including operations, customer 

experience, product and service innovation, and business model transformation. 

• Performing Digital Value Chain Analysis: Examining the entire value chain to 

understand where digital technologies can enhance or transform traditional value 

creation processes. 

• Conducting a Digital Transformation Opportunity Assessment: Evaluating current 

digital capabilities, market trends, and competitive pressures to identify where 

investments in Digital Transformation can yield the highest returns. 

• Understanding Horizons of Digital Transformation: Recognizing the different stages 

of Digital Transformation—from foundational improvements in efficiency to 

transformative changes in business models—and aligning initiatives with the 

appropriate horizon. 

By systematically assessing where and how digital technologies can create value, organizations 

can prioritize their Digital Transformation efforts, allocate resources more effectively, and align 

their business and operating models to capture the full potential of Digital Innovation. 

Implementing this Digital Value Creation framework provides organizations with several 

benefits: 

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• Holistic Value Realization: By looking beyond customer-centric functions to the entire 

digital value chain, organizations can identify and capitalize on additional opportunities 

for Value Creation. 

• Strategic Alignment: Aligning Digital Transformation initiatives with the organization's 

overall strategy and market potential ensures that efforts are focused on areas of 

highest impact and return on investment. 

• Enhanced Competitive Advantage: Understanding and exploiting the unique potential 

for Digital Transformation within their industry allows organizations to differentiate 

themselves from competitors and gain a competitive edge. 

• Optimized Investment: By assessing the value at stake and investing proportionally, 

organizations can ensure that their Digital Transformation budgets are allocated to the 

areas with the greatest potential for return. 

• Adaptability and Resilience: A comprehensive approach to Digital Transformation 

equips organizations to respond more effectively to changing market conditions, 

technological advancements, and competitive dynamics. 

Ultimately, the Digital Transformation Value Creation & Analysis framework helps organizations 

navigate the complexities of Digital Transformation, enabling them to unlock and maximize the 

value of digital technologies across all aspects of their operations. 

View the full presentation here: https://flevy.com/browse/flevypro/digital-transformation-valuecreation-and-analysis-2766 

Related Management Topics: Digital Transformation, Customer Experience, Competitive 

Advantage, Value Chain Analysis, Value Creation, Value Chain, Return on Investment 





5. Digital Transformation Strategy (Primer) 

The Digital Transformation Strategy framework emphasizes the crucial shift in the role of 

technology within organizations—from a supporting function to a central driver of business 

success. This shift has been further accelerated by the COVID-19 pandemic, underscoring the 

need for organizations to adopt a digital-first approach to remain competitive. 

The framework identifies 8 levers of Digital Transformation, categorized under Growth 

(Business Driver Levers) and Operational Improvement (Business Enabler Levers), driven by 

emergent technology trends such as Robotic Process Automation (RPA), Artificial Intelligence 

(AI), Internet of Things (IoT), and more. These levers are essential components in formulating a 

comprehensive Digital Transformation Strategy. Note that this FlevyPro presentation is an 

abridged version taken from a much more in-depth, 100+ slide PPT on Digital Transformation 

Strategy. 

Source: https://flevy.com/browse/flevypro/digital-transformation-strategy-primer-2253 





Organizations can deploy this framework to craft a robust Digital Transformation Strategy by 

focusing on the following areas: 

• Growth (Business Driver Levers): Concentrating on demand generation, expanding 

reach and selection, optimizing the customer purchase process, and enhancing 

overall customer experience. 

• Operational Improvement (Business Enabler Levers): Improving process efficiency, 

maximizing asset utilization, increasing agility, and innovating new business and service 

models. 

By leveraging emergent technology trends, organizations can apply these levers to drive both 

operational efficiencies and growth initiatives, with a significant focus on improving customer 

experiences as a central goal of Digital Transformation efforts. 

The Digital Transformation Strategy framework provides multiple advantages for organizations 

willing to embrace digital change: 

• Competitive Edge: In today’s digital-centric world, a well-defined digital strategy 

enables organizations to outperform competitors and meet the evolving expectations of 

customers. 

• Enhanced Efficiency and Agility: By improving operational processes and utilizing 

assets more effectively, organizations can achieve higher levels of efficiency and adapt 

more quickly to market changes. 

• Growth Opportunities: Leveraging digital technologies to enhance the customer 

purchase process and overall experience opens up new avenues for demand generation 

and revenue growth. 

• Innovation in Business Models: The framework encourages the exploration of new 

business and service models, fostering innovation and potentially disrupting traditional 

industry standards. 

By incorporating emergent technology trends and focusing on the 8 levers of Digital 

Transformation, organizations can develop a strategic approach that aligns with their overall 

business objectives, ensuring they are well-positioned to thrive in the digital era. 

View the full presentation (complete framework) 

here: https://flevy.com/browse/document/digital-transformation-strategy-2249 

Related Management Topics: Digital Transformation, Customer Experience, Digital Transformation 

Strategy, Revenue Growth 





6. Pathways to Data Monetization 

The Pathways to Data Monetization framework outlines a strategic approach for organizations 

looking to harness the value of their data assets. In an era where every company is effectively a 

data company, this framework is critical for the few that aim to fully capitalize on data 

monetization opportunities. 

It presents 2 distinct pathways for monetizing data: one with an internal focus aimed at 

enhancing operational and organizational efficiency, and the other with an external focus 

centered on leveraging relationships with partners and customers. 

Organizations can utilize this framework to navigate the complex landscape of data 

monetization through the following pathways: 

• Internal Focus: This involves looking inward at operational and organizational 

improvements that data can facilitate. The framework categorizes these into cost 

reduction initiatives, such as optimizing resource allocation and improving process 

efficiency, and revenue growth initiatives, which may include enhancing product 

offerings or tailoring marketing strategies based on data-driven insights. 

• External Focus: This pathway explores monetization opportunities outside the 

organization. It entails leveraging data in relationships with partners and customers, 

potentially unlocking new business models. The framework suggests three innovative 

business models that can be explored: data as a service (DaaS), insight as a service 

(IaaS), and analytics-enabled platforms as a service. 

Additionally, the framework outlines a five-phase approach to implementing a Data 

Monetization Strategy, centered around the concept of establishing a Data Factory. This process 

involves the collection, organization, analysis, and deployment of data to create value. 

Adopting the Pathways to Data Monetization framework offers several key benefits: 

• Strategic Advantage: By fully exploiting both internal and external data monetization 

pathways, organizations can secure a competitive edge, leveraging data as a strategic 

asset. 

• Enhanced Revenue Streams: The framework opens up new avenues for revenue 

generation, both by optimizing internal operations and by creating value-added 

offerings for external stakeholders. 

• Operational Efficiency: Internally focused data monetization efforts can significantly 

reduce costs and improve efficiency, leading to leaner, more agile operations. 





• Innovation and Growth: Exploring new business models through external data 

monetization can drive innovation and facilitate entry into new markets or segments. 

• Data-Driven Culture: Implementing a structured approach to data monetization 

encourages a data-driven culture within the organization, aligning teams around the 

value of data. 

Overall, the Pathways to Data Monetization framework provides a comprehensive guide for 

organizations to unlock the full potential of their data, transforming it from a passive asset into 

a powerful driver of growth and efficiency. 

View the full presentation here: https://flevy.com/browse/flevypro/pathways-to-datamonetization-5245 

Related Management Topics: Agile, Cost Reduction, Data Monetization, Revenue Growth 





7. Artificial Intelligence Strategy: Top Priorities 

The Artificial Intelligence Strategy: Top Priorities framework outlines essential focal points for 

organizations aiming to navigate the complexities of AI implementation and leverage AI to 

become industry leaders. This framework is built on insights from PwC's 2020 Research, which 

highlights the challenges organizations face in scaling and industrializing AI applications. It 

reflects a strategic shift necessary for overcoming the hurdles of AI integration, focusing on 

preparation, ethical considerations, and innovative practices. 

To effectively employ this framework, organizations should concentrate on the following 5 key 

priorities: 

1. Boring AI: Emphasizes the importance of integrating AI into everyday business 

processes and operations to enhance efficiency and productivity, rather than focusing 

solely on groundbreaking or disruptive AI innovations. 

2. AI-ready Workforce: Highlights the need for training and developing the workforce to 

be proficient in AI technologies, ensuring that employees are equipped to work 

alongside AI and maximize its potential. 

3. Responsible and Ethical AI: Underlines the necessity of implementing AI in a way that 

is ethically responsible, transparent, and respects privacy and data 

protection standards, addressing societal and ethical implications. 

4. AI Operationalization: Focuses on the practical aspects of incorporating AI into the 

organizational fabric, ensuring that AI technologies can be deployed at scale and 

integrated smoothly with existing systems and workflows. 

5. Business Model Innovation (BMI): Encourages organizations to rethink their business 

models through the lens of AI capabilities, exploring new value propositions, revenue 

streams, and ways of delivering products or services. 

Adopting the best practices in this consulting framework offers several benefits and 

advantages: 

• Strategic Alignment: Aligns AI initiatives with broader business goals, ensuring that AI 

deployment contributes meaningfully to organizational objectives. 

• Enhanced Competitiveness: Positions organizations as AI leaders by focusing on 

comprehensive, sustainable AI integration rather than isolated or sporadic projects. 

• Workforce Empowerment: Builds an AI-ready workforce capable of leveraging AI 

technologies to their full potential, fostering innovation and efficiency. 

• Ethical Leadership: Promotes a culture of responsibility and ethical consideration in AI 

usage, enhancing brand reputation and customer trust. 





• Innovative Growth: Stimulates business model innovation, allowing organizations to 

explore new markets, products, and services enabled by AI technologies. 

Overall, the Artificial Intelligence Strategy (Top Priorities) framework provides a structured 

approach for organizations aiming to overcome the challenges of AI implementation, ensuring 

readiness, ethical responsibility, and innovation at the heart of their AI strategies. 

View the full presentation here: https://flevy.com/browse/flevypro/artificial-intelligence-aistrategy-top-priorities-5883 

Related Management Topics: Artificial Intelligence, Value Proposition, Business Model 

Innovation, Best Practices, Data Protection 





8. Robotic Process Automation (RPA) 

The Robotic Process Automation (RPA) framework outlines a transformative approach to 

automating business processes through software robots and Artificial Intelligence (AI) workers, 

marking a shift from traditional automation methods where humans are assisted by technology 

to ones where robots perform activities independently in most cases. 

This framework is applicable across various organizational functions such as Finance, 

Accounting, Marketing, Customer Service, Compliance, and IT/MIS. It emphasizes that the 

adoption of RPA often leads to employee redeployment towards more fulfilling roles, rather 

than layoffs, highlighting RPA's potential to enhance job satisfaction by eliminating mundane 

tasks. 

Organizations can implement the RPA framework through a structured 6-phase approach to 

ensure effective deployment: 

Source: https://flevy.com/browse/flevypro/robotic-process-automation-rpa-2746 

1. Define RPA Perimeter: Identify and delineate the processes that are suitable for 

automation through RPA. 

2. Optimize Existing Processes: Before automation, streamline and optimize processes to 

maximize efficiency. 





3. Choose the Appropriate RPA Solution: Select the RPA technology that best fits the 

organization's specific needs and process requirements. 

4. Define the Required Span of Control: Establish governance and oversight mechanisms 

for managing RPA operations. 

5. Study Impacts on the Target Operating Model (TOM): Assess how RPA 

implementation will affect the overall operating model of the organization. 

6. Build a Deployment Plan: Develop a comprehensive plan for deploying RPA solutions, 

including timelines, resource allocation, and expected outcomes. 

The adoption of RPA brings about significant benefits, categorized into 3 core areas: 

1. Improved Employee and Customer Satisfaction: Automating repetitive and timeconsuming 

tasks allows employees to focus on higher-value activities, enhancing job 

satisfaction. Customers benefit from faster, more accurate service delivery. 

2. Accelerated Productivity Gains: RPA enables 24/7 operation without the fatigue and 

errors associated with human labor, leading to substantial increases in productivity. 

3. Enhanced Compliance: Software robots can be programmed to follow regulatory and 

compliance requirements precisely, reducing the risk of non-compliance. 

Overall, RPA offers a fast, cost-effective way to automate routine business processes, delivering 

immediate, measurable, and significant improvements in efficiency, employee engagement, 

and compliance. This makes RPA an attractive option among Digital Transformation initiatives, 

providing organizations with a clear pathway to realize tangible benefits from automation 

technologies. 

Related Management Topics: Digital Transformation, Customer Service, Target Operating 

Model, Artificial Intelligence, Employee Engagement, Customer Satisfaction 





9. Digital Organization Design 

The Digital Organizational Design framework addresses the profound impact of digital 

technologies on organizational structures and operational models. It emphasizes the shift 

towards more open, flexible, and decentralized approaches to management and decisionmaking, 

driven by the need for agility and rapid response to market changes. 

This framework suggests that traditional organizations should consider experimenting with and 

incorporating elements of digital native structures, which often lack defined hierarchies and 

management titles but offer increased responsiveness and engagement. 

Organizations looking to navigate the digital landscape can use this framework to explore and 

potentially adopt one of the 4 operating models tailored to fostering digital innovation and 

agility: 

Source: https://flevy.com/browse/flevypro/digital-organizational-design-3189 





1. The Tactical Model: Focuses on specific, targeted digital initiatives to enhance certain 

aspects of the business, without a full-scale organizational transformation. 

2. The Centralization Model: Involves creating a centralized digital unit responsible for 

driving digital initiatives across the organization, ensuring consistency and leveraging 

synergies. 

3. The Champion Model: Empowers leaders within different departments to drive digital 

initiatives, fostering a culture of innovation across various parts of the organization. 

4. The Business As Usual (BUA) Model: Integrates digital into every aspect of the 

organization's operations, making digital practices and thinking a standard part of daily 

activities. 

Implementing the Digital Organizational Design framework offers several advantages: 

• Enhanced Agility and Responsiveness: By adopting flatter and more decentralized 

organizational structures, organizations can respond more swiftly to market changes 

and technological advancements. 

• Improved Communication and Collaboration: Open cultures and candid 

communication facilitate better decision-making and foster a sense of mutual trust and 

rapport among employees and management. 

• Increased Innovation: Different operating models encourage innovation by 

empowering employees at all levels to contribute ideas and lead digital initiatives. 

• Digital Maturity: The framework provides a pathway for traditional organizations to 

evolve and become more digitally savvy, crucial for sustaining competitiveness in an 

increasingly digital world. 

Additionally, the Digital Readiness Diagnostic Framework included in this approach allows 

organizations to assess their digital readiness and maturity across 5 key areas: Strategy and 

Leadership, Customer Engagement, Products and Services, Organization and Talent, and Digital 

Operations. This diagnostic tool aids in identifying strengths and areas for improvement, 

guiding strategic planning and implementation efforts towards achieving Digital Excellence. 

Related Management Topics: Organizational Design, Strategic Planning, Organizational 

Transformation, Organizational Structure 





10. Digital Platform Strategy 

The Digital Platform Strategy framework outlines a transformative approach for traditional 

companies looking to navigate the shift towards the Sharing Economy, enabled significantly by 

the proliferation of sensors and the Internet of Things (IoT). 

As billions of smart devices become interconnected, new consumption ecosystems emerge, 

offering organizations the opportunity to create value through digital platforms. These 

platforms act as plug-and-play business models, facilitating interactions between producers 

and consumers, thereby enabling the exchange of value in diverse and innovative ways. 

This framework guides business leaders and managers through the process of leveraging 

digital platforms, starting with an understanding of the five types of digital platforms: 

1. Supplier to Digital Platforms: Platforms that connect suppliers directly with 

consumers, enhancing the efficiency of distribution and reducing intermediaries. 

2. Collaborative Tethered Platforms: Platforms that encourage collaboration among 

users, leveraging collective contributions to create value. 

3. Enabled Tethered Platforms: Platforms that empower users by providing tools and 

services that enhance their capabilities or experiences. 

4. Fully Tethered Platforms: Highly integrated platforms that offer a seamless and 

comprehensive suite of services and interactions. 

5. Hybrid Tethered Platforms: Platforms that combine elements of the above types to 

offer a versatile and multifaceted value proposition. 

Further, the framework emphasizes three key strategic considerations essential for developing 

a robust platform strategy: 

1. Sensor Strategy: Developing a strategy for integrating sensors and IoT technology to 

collect data, enhance user experiences, and create additional value. 

2. User Acquisition Strategy: Strategies for attracting and retaining users, both 

consumers, and producers, to the platform. 

3. Digital Platform Strategy: Overall strategic planning for the development, launch, and 

growth of the digital platform, ensuring it aligns with the company's broader business 

objectives. 

Building a Digital Platform Strategy provides several advantages: 





• Access to New Markets: Digital platforms open up new avenues for competition and 

collaboration, allowing organizations to access new markets and customer segments. 

• Enhanced Value Creation: By facilitating direct interactions between producers and 

consumers, platforms can significantly enhance the value created and exchanged within 

the ecosystem. 

• Innovative Business Models: The framework encourages organizations to explore 

innovative business models that leverage digital technology to meet evolving consumer 

needs. 

• Competitive Differentiation: Through strategic use of sensors and IoT, organizations 

can differentiate their platform offerings, delivering unique and enhanced user 

experiences. 

By understanding and applying the principles outlined in the Digital Platform Strategy 

framework, organizations can position themselves to thrive in the burgeoning Sharing 

Economy, leveraging technology to foster connections, collaboration, and value creation on a 

global scale. 

View the full presentation: https://flevy.com/browse/flevypro/digital-platform-strategy-5144 

Related Management Topics: Strategic Planning, Value Proposition, Value Creation, User 

Experience, Acquisition Strategy, Platform Strategy, Internet of Things 





Additional Consulting Tools for Digital 

Transformation 

Unsurprisingly, we see there is a strong focus on Artificial Intelligence, with the top ranked 

framework being on ChatGPT. Here are links to additional consulting resources related 

to Digital Transformation and Artificial Intelligence: 

• Top 100 Digital Transformation best practices on Flevy 

• Top 100 Consulting Frameworks on Flevy 

• More Digital Transformation consulting frameworks 

• All the FlevyPro Digital Transformation documents 

• Digital Transformation best practices on Flevy 

• Digital Transformation Strategy best practices on Flevy 

• Artificial Intelligence best practices on Flevy 

Every competitive organization is pursuing a Digital Transformation Strategy right now. After all, 

we are living in a point in history where AI is rapidly disrupting nearly every facet of society. 

Digital Transformation frameworks serve as invaluable blueprints for consultants and clients 

alike in navigating today's complex digital world. By offering structured methodologies and 

clear priorities, these frameworks provide a roadmap to innovate and adapt, ensuring that 

digital initiatives are aligned with overarching business strategies.

Cracking the Consulting Code: Top 10 Digital Transformation Frameworks

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