{"id":26231,"date":"2022-05-12T20:07:26","date_gmt":"2022-05-12T20:07:26","guid":{"rendered":"https:\/\/whatfix.com\/blog\/?p=26231"},"modified":"2026-07-24T14:58:55","modified_gmt":"2026-07-24T14:58:55","slug":"digital-maturity","status":"publish","type":"post","link":"https:\/\/whatfix.com\/blog\/digital-maturity\/","title":{"rendered":"What Is Digital Maturity? Models, Levels, and Assessment"},"content":{"rendered":"

Global technology investment continues to climb as organizations move more operations, decisions, and core business workflows into enterprise software.<\/span>\u00a0<\/span><\/a><\/p>\n

Gartner forecasts worldwide IT spending will reach $6.31 trillion in 2026<\/span><\/a>, including more than $1.44 trillion in software spending. Yet purchasing and deploying new technology does not, in itself, drive business outcomes. Organizations need a people-first approach that prepares users, manages change, reinforces processes, supports employees during live work, and continually optimizes workflows.\u00a0<\/span><\/p>\n

What Is Digital Maturity?<\/b><\/h2>\n

Digital maturity is an organization\u2019s ability to use technology, data, people, processes, and governance together to consistently improve business performance. A digitally mature organization aligns technology investments with strategic goals, prepares employees for change, enables users to complete workflows correctly, integrates reliable data across systems, measures adoption and performance, and continuously improves how digital work is executed.<\/span><\/p>\n

Digital maturity should be viewed as an evolving organizational capability rather than a final destination. New technologies, regulations, customer expectations, workforce needs, and business models continuously change what effective digital operations require.\u00a0<\/span><\/p>\n

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Digital Maturity vs. Digital Transformation, Readiness, and Adoption<\/b><\/h2>\n

Digital maturity, digital transformation, digital readiness, and digital adoption describe related parts of an organization\u2019s technology strategy, but concept answers a different business question.<\/span><\/p>\n\n\n\n\n\n\n\n
Concept<\/b><\/td>\nDefinition<\/b><\/td>\nCore question<\/b><\/td>\n<\/tr>\n
Digital maturity<\/b><\/td>\nThe organization\u2019s current ability to create value through technology, data, people, processes, and governance<\/span><\/td>\nHow effectively can the organization operate and improve in a digital environment?<\/span><\/td>\n<\/tr>\n
Digital transformation<\/b><\/a><\/td>\nCoordinated changes to business models, systems, processes, experiences, and ways of working through digital technology<\/span><\/td>\nWhat should the organization change to improve performance?<\/span><\/td>\n<\/tr>\n
Digital readiness<\/b><\/td>\nThe organization\u2019s preparedness to introduce or absorb a particular technology, system, or process change<\/span><\/td>\nAre the people, workflows, data, and systems prepared for the change?<\/span><\/td>\n<\/tr>\n
Digital adoption<\/b><\/a><\/td>\nThe extent to which users can use digital tools and workflows correctly, consistently, and independently<\/span><\/td>\nAre employees using the technology effectively enough to produce the intended outcomes?<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Core Dimensions of Digital Maturity<\/b><\/h2>\n

Digital maturity requires coordinated progress across several organizational pillars. Here are the key components that make up an organization\u2019s digital maturity:<\/span><\/p>\n\n\n\n\n\n\n\n\n
Digital maturity dimension<\/b><\/td>\nWhat it includes<\/b><\/td>\n<\/tr>\n
Strategy and governance<\/b><\/td>\nBusiness alignment, investment priorities, leadership sponsorship, ownership, decision rights, risk controls, and performance accountability<\/span><\/td>\n<\/tr>\n
People and culture<\/b><\/td>\nDigital skills, <\/span>user readiness<\/span><\/a>, leadership behavior, collaboration, incentives, change release management, performance support for successful task completion, and capacity for continuous learning<\/span><\/td>\n<\/tr>\n
Processes and operations<\/b><\/td>\nWorkflow design, standardization, <\/span>documentation<\/span><\/a>, <\/span>governance<\/span><\/a>, automation, process ownership, compliance, service delivery, and continuous improvement<\/span><\/td>\n<\/tr>\n
Technology and architecture<\/b><\/td>\nEnterprise applications, infrastructure, platforms, integrations, security, scalability, resilience, and technical debt<\/span><\/td>\n<\/tr>\n
Data and AI<\/b><\/td>\nData accessibility, quality, governance, analytics, knowledge architecture, AI readiness, permissions, and decision support<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

How to Assess Each Aspect of Digital Maturity<\/span><\/h3>\n

Digital maturity assessments should therefore examine how these dimensions interact inside real business processes. The central measure is whether the organization can execute, adapt, and improve its most important workflows.<\/span><\/p>\n

Weakness in one dimension can restrict progress across the others. An organization may invest in advanced AI tools while lacking the governed data, employee skills, workflow consistency, and operating controls required to apply them effectively. Another organization may have modern cloud infrastructure while employees continue to rely on spreadsheets and offline workarounds.<\/span><\/p>\n

Benefits of a Digital Mature Organization<\/b><\/h2>\n

Digitally mature organizations can scale technology beyond initial <\/span>software rollout<\/span><\/a> or pilot programs. Their <\/span>people, process, and technology<\/span><\/a>, along with their operating capabilities. work together to produce repeatable outcomes across teams, locations, and applications.<\/span><\/p>\n

Here are key business outcomes organizations can benefit from when their digital maturity is high:<\/span><\/p>\n

1. Higher returns from technology investments<\/b><\/h3>\n

Digitally mature organizations connect application deployments to user adoption, workflow performance, and business results. This creates stronger visibility into whether technology is reducing costs, improving productivity, increasing revenue, strengthening compliance, or accelerating service delivery.\u00a0<\/span><\/p>\n

In a study of approximately 2,300 organizations, BCG found that 66% of the most digitally mature companies achieved returns of at least 10% on digital projects, compared with only 36% of digital laggards.<\/span><\/p>\n

2. More efficient and consistent workflows<\/b><\/h3>\n

Mature organizations define approved process paths, clarify ownership, eliminate unnecessary handoffs, automate appropriate tasks, and reinforce execution inside enterprise applications. Employees spend less time interpreting disconnected procedures or asking colleagues how to complete a task. This reduces rework, errors, delays, process variation, and dependency on tribal knowledge.<\/span><\/p>\n

3. Faster user proficiency<\/b><\/h3>\n

Digital maturity gives organizations reusable capabilities for preparing employees to use new applications and workflows. Role-based training, <\/span>application simulations<\/span><\/a>, readiness assessments, <\/span>in-app guidance<\/span><\/a>, and embedded support help users build proficiency faster and apply knowledge during real work.\u00a0<\/span><\/p>\n

These capabilities are especially important for complex or high-risk workflows where errors create financial, compliance, safety, or customer consequences.<\/span><\/p>\n

4. Greater capacity for continuous change<\/b><\/h3>\n

Software releases, new AI features, acquisitions, policy updates, and process redesigns create a constant flow of operational change.\u00a0<\/span><\/p>\n

Digitally mature organizations can segment affected users, communicate changes in context, update <\/span>user training<\/span><\/a> and guidance, monitor behavior, and adjust interventions based on adoption data. <\/span>Change management<\/span><\/a> becomes an ongoing operating capability rather than a separate activity created for every project.<\/span><\/p>\n

5. Stronger data and AI readiness<\/b><\/h3>\n

Reliable data and centralized organizational knowledge provide the foundation for analytics, automation, and AI. Mature organizations establish ownership, quality standards, access rules, shared definitions, and integration practices across their data sources. They also maintain accurate policies, procedures, and support content that employees and AI systems can retrieve during work.<\/span><\/p>\n

6. Better employee and customer experiences<\/b><\/h3>\n

Digitally mature organizations reduce the effort required to complete tasks, find information, resolve issues, and move between systems. Employees encounter fewer confusing workflows and receive support when they need it. Customers benefit from faster service, more consistent interactions, fewer processing errors, and better-informed employees.<\/span><\/p>\n

7. Greater organizational resilience<\/b><\/h3>\n

Connected data, defined ownership, adaptable workflows, and continuous measurement help mature organizations identify disruption earlier and respond more quickly. Teams can reallocate resources, update processes, retrain users, and introduce new controls without rebuilding the entire operating model each time market or business conditions change.<\/span><\/p>\n

What Do Digitally Mature Companies Do Differently?<\/b><\/h2>\n

Here\u2019s how mature companies treat technology as part of an integrated operating system for the business and achieve higher levels of digital maturity compared to their less tech-savvy peers:<\/span><\/p>\n

Tie technology investments to business outcomes<\/b><\/h3>\n

Mature organizations define why a technology investment matters before measuring deployment activity. Each initiative is connected to specific operational, customer, workforce, financial, or risk outcomes.\u00a0<\/span><\/p>\n

These organizations establish baseline metrics and accountable owners before implementation. Application usage is then evaluated alongside proficiency, workflow completion, errors, cycle time, data quality, support demand, and business performance.<\/span><\/p>\n

Organize transformation around critical workflows<\/b><\/h3>\n

Digitally mature companies identify the workflows that create business value and use them to guide technology decisions. Applications, integrations, policies, training, controls, and analytics are designed around the successful execution of processes. This workflow-centered approach gives application owners and technology enablement teams a practical unit for prioritization.\u00a0<\/span><\/p>\n

Build connected technology and data foundations<\/b><\/h3>\n

Mature companies reduce unnecessary application fragmentation, maintain dependable integrations, manage technical debt, and create reliable access to shared data. They develop platform and architecture strategies that allow systems to exchange information and support end-to-end processes across departmental boundaries.<\/span><\/p>\n

Prepare users before launching new technology<\/b><\/h3>\n

Digitally mature organizations prepare employees for real tasks rather than relying primarily on feature demonstrations or static training. Users receive role-based instruction, <\/span>hands-on application practice<\/span><\/a>, <\/span>AI scenario training<\/span><\/a>, and readiness assessments before entering a live production environment.<\/span><\/p>\n

Pre-launch system preparation<\/span><\/a> also helps transformation leaders, application owners, and enablement teams test the human side of a workflow. Teams can identify confusing steps, knowledge gaps, likely errors, and inefficient process paths while there is still time to correct them.<\/span><\/p>\n

Support users during live work<\/b><\/h3>\n

Training retention declines when employees cannot immediately apply what they learned. Mature organizations reinforce knowledge with<\/span> in-app guidance<\/span><\/a>, contextual help, embedded documentation, validation, and self-service support inside enterprise applications.<\/span><\/p>\n

This approach reduces the distance between learning and execution. Employees can access assistance at the exact step where they encounter uncertainty, improving process consistency while reducing dependence on support teams and subject matter experts.<\/span><\/p>\n

Establish cross-functional ownership and governance<\/b><\/h3>\n

Digital maturity requires coordination among business leaders, IT, application owners, process owners, technology enablement teams, change management, L&D, data teams, security, compliance, and operations. Mature organizations define which teams own the system, workflow, data, user experience, training, and the intended outcome.<\/span><\/p>\n

Measure behavior and improve continuously<\/b><\/h3>\n

Mature companies analyze what users do inside enterprise applications, including the paths they take, the features they use, the steps they abandon, the errors they encounter, and the support content they search for. This behavioral data is evaluated alongside qualitative feedback and business performance.<\/span><\/p>\n

Teams use these insights to improve workflows, interfaces, policies, training, and in-app guidance. Measurement becomes part of a closed improvement loop rather than a post-implementation retrospective report.<\/span><\/p>\n

Levels of Digital Maturity\u00a0<\/b><\/h2>\n

Although maturity model terminology varies, most frameworks describe a progression from fragmented digital activity toward integrated, measured, and adaptive operations.<\/span><\/p>\n\n\n\n\n\n\n\n\n
Digital maturity level<\/b><\/td>\nTypical characteristics<\/b><\/td>\n<\/tr>\n
1. Initial<\/b><\/td>\nDigital initiatives are reactive, fragmented, and heavily dependent on individual teams or leaders<\/span><\/td>\n<\/tr>\n
2. Developing<\/b><\/td>\nThe organization has pilots, growing investment, and an initial strategy, but coordination and measurement remain limited<\/span><\/td>\n<\/tr>\n
3. Defined<\/b><\/td>\nStandards, owners, platforms, governance structures, and repeatable processes exist across major functions<\/span><\/td>\n<\/tr>\n
4. Managed<\/b><\/td>\nConnected data, workflow analytics, adoption measures, and business KPIs guide decisions and improvement efforts<\/span><\/td>\n<\/tr>\n
5. Adaptive<\/b><\/td>\nDigital capabilities are embedded across the operating model and continuously evolve with changing business conditions<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Digital Maturity Models<\/b><\/h2>\n

A digital maturity model is a structured framework for assessing an organization\u2019s current digital capabilities, identifying gaps, defining a desired future state, and prioritizing improvement initiatives. Most models divide maturity into dimensions such as strategy, technology, operations, people, culture, data, and customer experience.<\/span><\/p>\n

Here are two popular digital maturity models to help organizations improve their tech literacy and turn software investments into workflow outcomes and empowered people:<\/span><\/p>\n

Deloitte\u2019s Digital Maturity Model<\/b><\/h3>\n

Deloitte and TM Forum<\/span><\/a> originally collaborated on a Digital Maturity Model designed to assess transformation across five organizational dimensions: customer, strategy, technology, operations, culture, people, and organization.\u00a0<\/span><\/p>\n

Each dimension contained subdimensions and assessment criteria that organizations could use to benchmark their existing capabilities and identify improvement priorities.<\/span><\/p>\n\n\n\n\n\n\n\n\n\n
Model dimension<\/b><\/td>\nWhat it evaluates<\/b><\/td>\n<\/tr>\n
Customer<\/b><\/td>\nHow effectively the organization creates connected, trusted, and valuable customer experiences across digital and physical channels<\/span><\/td>\n<\/tr>\n
Strategy<\/b><\/td>\nHow digital priorities are integrated into business strategy, investment decisions, market positioning, innovation, and competitive advantage<\/span><\/td>\n<\/tr>\n
Technology<\/b><\/td>\nWhether applications, platforms, infrastructure, architecture, integrations, and security can support digital business needs at scale<\/span><\/td>\n<\/tr>\n
Operations<\/b><\/td>\nHow digital technology improves processes, services, automation, decision-making, efficiency, quality, and operational resilience<\/span><\/td>\n<\/tr>\n
Culture, people, and organization<\/b><\/td>\nWhether leadership, governance, talent, skills, collaboration, incentives, and organizational structures support transformation<\/span><\/td>\n<\/tr>\n
Data<\/b><\/td>\nHow the organization governs, integrates, shares, analyzes, and applies data to decisions, automation, AI, and business performance<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The model provides a broad organizational view and can help leaders establish a common language for transformation. It is especially useful when teams need to examine the connections among technology, organizational structure, data, customer experience, and operations.<\/span><\/p>\n

\"Deloitee<\/a><\/p>\n

BCG\u2019s Digital Acceleration Index<\/b><\/h3>\n

Boston Consulting Group\u2019s Digital Acceleration Index<\/span><\/a>, or DAI, benchmarks an organization\u2019s digital maturity on a scale from 0 to 100. Organizations assess their maturity across multiple digital capabilities using guided scoring, and BCG aggregates the results to compare performance across companies and industries.<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
DAI assessment area<\/b><\/td>\nWhat it examines<\/b><\/td>\n<\/tr>\n
Digital strategy and ambition<\/b><\/td>\nHow clearly the organization connects digital investment with competitive strategy, growth, customer value, and operating outcomes<\/span><\/td>\n<\/tr>\n
Digital core<\/b><\/td>\nThe maturity of applications, architecture, cloud infrastructure, platforms, APIs, cybersecurity, data, and analytics<\/span><\/td>\n<\/tr>\n
Business and technology investment<\/b><\/td>\nWhether investments are balanced across technology, data, workforce skills, and scalable organizational capabilities<\/span><\/td>\n<\/tr>\n
Leadership and governance<\/b><\/td>\nOwnership, decision rights, funding, accountability, executive sponsorship, and coordination across business units<\/span><\/td>\n<\/tr>\n
Workforce capabilities<\/b><\/td>\nDigital skills, AI training, talent strategies, role design, learning, and the organization\u2019s capacity to adopt new ways of working<\/span><\/td>\n<\/tr>\n
Operating model and ways of working<\/b><\/td>\nCross-functional teams, platform operating models, agile delivery, collaboration, and the ability to scale digital solutions<\/span><\/td>\n<\/tr>\n
Human-technology augmentation<\/b><\/td>\nHow effectively automation, analytics, AI, and human judgment are combined inside operational processes<\/span><\/td>\n<\/tr>\n
Business value and performance<\/b><\/td>\nRevenue growth, ROI, cost reduction, enterprise value, market share, customer satisfaction, and operational performance<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Digital Maturity Model by Google and the Boston Consulting Group<\/h3>\n

Google\u2019s digital maturity framework has four stages that focus on marketing and sales efforts.<\/p>\n