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13 reasons for digital transformation failures and real-world examples

13 reasons for digital transformation failures and real-world examples

The rapid adoption of new technologies like AI, cloud computing, blockchain, and quantum computing is constantly shifting. This continuous evolution demands businesses and individuals adapt swiftly to remain competitive.

Businesses are now realizing these technologies’ potential to reshape how things are done. As such, an industry-wide effort is underway to enhance business capabilities and capture new value.

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These digital transformations help businesses innovate and disrupt the market with new products, services, or business models.

Despite this ongoing industry trend, McKinsey research reveals that 70% of digital transformations fail. Luckily, lessons can be learned from these failures, along with methods for mitigating them. 

This article will explore the top causes of digital transformation failures. It will provide real-world examples of companies that haven’t hit the mark to help you avoid common pitfalls. 

Why do digital transformation projects fail?

However well-intentioned transformation efforts can be, innovation attempts typically fail. 

Joint research from Endava and the IDC

Joint research from Endava and the IDC reveals that “one in four finds it difficult to keep up to speed with developments, while every second digital transformation project doesn’t reach its expected outcomes.”

Transformation improves all facets of business through strategic investment in digital technologies. 

When not implemented correctly, these investments have the opposite effect. They create more roadblocks, and operations become stifled. 

This is because of a lack of organizational preparedness and a belief that shiny new technology can be a magic solution. 

Andy Penn, CEO of Australian telecommunications Telstra, says via McKinsey: “If you allow ambiguity to filter into what you’re trying to do, suddenly you lose control of the agenda. Having a very clear strategy and vision, and a few beacons of the progress you are making that you can use to reinforce that vision, is incredibly important.

When we understand what pain points prevent change, we can work to dismantle them and ensure smooth transitions. 

Let’s explore the top reasons why digital transformations fail.

Let’s explore the top reasons why digital transformations fail.
  1. Misaligned strategy & vision

A company’s digital transformation dream can become a nightmare with misaligned goals. 

Imagine the CEO pushing for efficiency, marketing chasing customer engagement, and IT prioritizing security – all worthy aims but at odds with each other. 

Resources are wasted on conflicting initiatives, employees feel lost, and results fall short. Departments pull in different directions, wondering how their work contributes to the broader vision.

Senior leadership needs to unify the organization with a clear and unified vision. This ensures everyone understands the bigger picture. 

Cross-functional collaboration is key, with departments working to define success metrics aligned with the shared goals. 

  1. Inadequate change management

Employees accustomed to comfortable workflows often struggle to adapt to new technologies. This resistance to change can lead to confusion and hinder the successful implementation of digital tools.

Communication breakdowns compound the issue, leaving employees needing clarification about the transformation’s purpose. This is a clear indicator of inadequate change management.

An effective change management plan is needed to ensure a smooth transformation. It helps turn reluctant employees into engaged contributors. This plan should include a clear outline of the transition phases and be open and transparent to keep everyone informed.

A cloud data migration, for instance, can leave employees lost without proper change management. This leads to a productivity dip during the transition. Similarly, adopting a new CRM system can trigger resistance without adequate training. This can hinder customer service and system effectiveness.

Leaders must address employee concerns head-on. They should provide support, and cultivate a culture encouraging learning and experimentation.

  1. Conflicting priorities & resource allocation

Digital transformation thrives on a focused approach. Companies chasing multiple unrelated initiatives at once risk gridlock. 

Marketing teams may want to push a social media campaign while IT pursues upgrades to core infrastructure. This can lead to resource constraints across competing projects, both human and financial.

The consequences ripple outwards. Teams find it difficult to make meaningful progress on any single initiative. Executions become sloppy, and employee morale dips under the weight of juggling conflicting priorities.

The solution lies in clear prioritization and aligned resource allocation. This ensures teams have the necessary tools and support to succeed at each step of the transformation.

  1. Poor technology selections and management 

Shiny new tech can be seductive, but companies often make poor technology choices and resort to band-aid fixes in the rush to digitize. They implement flashy customer portals without considering existing systems. This leads to a fractured user experience across platforms.

This results in dead-end tech investments that don’t align with needs and integration nightmares that create data silos. It also causes ongoing maintenance headaches from inadequate management.

The answer lies in a strategic approach. Opt for solutions that address business goals as a priority. Building expertise and establishing clear management practices optimize technology use and prevent disruptions. 

Companies can ensure that technology isn’t a roadblock through careful selection and management. 

  1. Poor technology adoption and user engagement

Even the most innovative solutions turn into costly burdens without user buy-in. 

When users are actively involved in the planning and implementation stages, they are more likely to become advocates for the new technology.

Imagine sales ops teams adopting a new and complicated CRM. Digital adoption becomes harder with clunky interfaces and new features that demand steep learning curves. This typically stems from poor design, inadequate training, and unclear benefits.

Focus on user-centered design. Involve salespeople in choosing a CRM that fits their workflow. Then, bridge the gap with a digital adoption platform (DAP). These tools provide digestible, in-context training that guides users on the job. 

Empower, don’t overwhelm. This approach turns hesitant clickers into confident users, helping to drive effective transformations.

  1. Customer blind spots

Customer blind spots derail digital transformations. If focused internally, companies may fail to gauge how customers interact. 

A new banking app may offer features that speed up loan approvals but overlook user-friendly features that explain complex terms. This creates solutions for internal problems, not customer-facing needs. 

At its core, digital transformation should be about creating better customer experiences. Tech investments are only useful if they make interacting with your offerings easier. 

This wastes resources and stagnates customer satisfaction. Uncover customer blind spots – their pain points and preferences – to deliver a transformation that prioritizes their needs.

  1. Skills gap and lack of training 

The digital revolution demands a skilled workforce. A lack of training and an employee skills gap can trip up companies embarking on transformations. 

This is about more than technical expertise in new technologies. It’s about adapting to new workflows, embracing data-driven decision-making, and collaborating effectively in a digital environment. 

Companies can implement solutions their employees can use or maintain with proper training and investment in reskilling the workforce. 

Bridging the gap between employees and new technologies is crucial for digital transformation. Implementing programs that help employees navigate digital spaces empowers companies to participate and benefit from these changes.

  1. Operational rigidity

Companies clinging to outdated and hierarchical structures find it difficult to adapt to the speed and complexity digital transformation requires today.

These outdated processes and siloed structures act as roadblocks, slowing down the flexibility and agility key for success.

How can you effectively pivot strategies or learn from missteps if approvals and red tape bog down your teams? Take Blockbuster, for instance. Their rigid adherence to a brick-and-mortar rental model left them ill-equipped to compete with the onset of streaming.

Companies need to ditch the armor to embrace digital transformation and become more agile. Empowering employees, breaking down silos, and allowing more fluidity in decision-making creates a nimbler organization.

  1. Data disconnect

A data disconnect is a critical yet often overlooked culprit behind digital transformation failures. This occurs when the organization’s data and the data it needs to steer its transformation strategy effectively diverge. 

In the ideal scenario, data serves as the lifeblood of the transformation. It should inform crucial decisions, measure progress, and guide adjustments. 

However, siloed, inaccurate, or incomplete data can lead to flawed plans, misdirected resources, and a stalled or failed transformation.

Harvard Business Review research reveals that less than half of organizations leverage less than half their structured data for decision-making, with a mere 1% of unstructured data analyzed

This data inefficiency impedes progress. Imagine crafting a strategic roadmap with incomplete information; that’s the challenge companies face without a holistic data approach. 

A unified data strategy is key to closing the data gap. Data fuels more tactile transformations by integrating siloed information and deploying advanced analytics.

  1. Security oversights

Today’s fast-paced transformations can introduce significant security risks if safeguards aren’t prioritized. Companies eager to innovate may need to realize implementing new technology creates new threat vectors. 

This creates vulnerabilities that hackers can exploit, leading to devastating data breaches, operational disruptions, and reputational damage. The financial losses from such incidents are significant, but the erosion of customer trust can be even more detrimental. 

With new technology, new approaches to ensuring regulatory compliance are a must. New tech can inadvertently collect or expose sensitive customer data in ways not previously considered. This lack of awareness raises major data privacy and protection concerns and ethical considerations.

Businesses must ensure that they adhere to laws and regulations that inform them of the responsible use of technology.

  1. Unrealistic timelines & outcomes

Setting unrealistic timelines and expecting overnight success is a common pitfall in digital transformations. Companies underestimate the complexity and scope of such projects. This leads to rushed implementations, insufficient testing, and inadequate training. 

This haste can result in costly delays, operational disruptions, and employee frustration. It ultimately undermines the initiative. Organizations should adopt a phased approach to avoid this. Do this by setting achievable milestones and celebrating small victories. 

A realistic timeline allows for thorough planning, testing, and employee adoption. This ensures the transformation is sustainable and delivers long-term value. 

12. Silos & communication gaps

In organizations troubled by silos and communication gaps, departments often operate in isolation. This lack of collaboration hinders the flow of information and shared understanding of digital transformation goals. 

A 2023 FlexOS study reveals a concerning trend in managing hybrid and remote teams. Employees awarded their managers a middling seven out of ten for effectiveness. Even more troubling, a third of respondents were frustrated over unclear communication from superiors.

The divide is further evident among remote employees. 36% of whom are less likely to perceive their managers as effective at maintaining connections.

When teams don’t communicate effectively, misalignment and conflicting priorities emerge. This impedes progress and coordination. Breaking down these silos improves operations and creates a unified vision for the transformation.

13. Resource constraints

Due to financial constraints, organizations may struggle to invest in essential technologies. This lack of investment can also limit their ability to provide adequate employee training programs. The lack of skilled professionals proficient in new technologies hinders the adoption of digital solutions.

Overcoming resource constraints requires a multifaceted approach. Careful planning and prioritization are essential, alongside a willingness to explore creative solutions. To maximize the value of limited resources, prioritize high-impact projects with clear ROI. Explore innovative financing options like phased implementations or revenue-sharing agreements with technology partners.

Real-world examples of digital transformation failures


Boeing’s ambitious pursuit of digital innovation hit turbulence when the Maneuvering Characteristics Augmentation System (MCAS) development for its 737 MAX aircraft went awry

Designed to improve the new plane’s handling characteristics, this software became the focal point. A series of tragic accidents followed, raising concerns about its functionality and safety.

Boeing’s MCAS software development was reportedly flawed. It lacked the rigorous testing typically applied to flight-critical systems. This oversight resulted in vulnerabilities that played a role in the crashes. Communication silos within Boeing hindered the identification of risks associated with the MCAS software. These silos existed between Boeing’s engineering teams, regulatory bodies, and airlines. It exacerbated the issue and delayed necessary mitigation efforts.

Reason for failure: The combination of inadequate software development and communication breakdowns led to a critical oversight in the digital transformation process. Ultimately, it compromised safety and caused devastating consequences.

Lesson learned: Boeing’s experience emphasizes integrating responsible practices into digital initiatives. This includes robust testing protocols, open communication channels with all stakeholders, and a relentless focus on safety when implementing new technologies in aviation.

General Electric (GE)

General Electric (GE) poured immense resources into Predix, their cloud-based industrial internet platform. They aimed to reimagine industrial equipment operations, predicting failures and optimizing performance through data analytics. 

However, Predix failed to deliver on its promises. GE’s massive investment of over $6 billion did not yield the expected returns. The platform struggled to attract customers and generate significant revenue. 

In 2018, GE wrote off a staggering $22 billion from its power business, largely due to the Predix failure.

Reasons for failure: Predix’s overly ambitious goal to be an all-encompassing platform proved detrimental. The platform’s complexity hindered development and adoption. GE’s initial vision lacked focus, making catering to specific customer needs difficult. Technical difficulties plagued the development and deployment of Predix. These issues led to delays and inflated costs, ultimately failing the platform.

Lesson learned: GE learned the value of starting small. They focused on specific projects and iterated based on customer feedback. They recognized the importance of clearly identifying target markets and tailoring solutions accordingly. Above all, they understood that prioritizing technical execution and delivering tangible results is key to the success of any digital initiative.


Revlon embarked on an ambitious digital transformation, implementing a new SAP enterprise resource planning (ERP) system in 2018. The aim was to streamline operations, enhance efficiency, and gain a competitive edge in the cosmetics industry. However, the implementation quickly went awry, leading to disastrous consequences.

The company experienced significant disruptions in its supply chain. This resulted in an estimated $64 million lost sales due to unfulfilled orders. In addition, $53.6 million in incremental charges were incurred to remediate the decline in customer service levels. The fallout was severe, leading to a drop in Revlon’s stock price. An investor lawsuit followed, alleging that the company had misrepresented the risks of the SAP implementation.

Reasons for failure: Revlon’s new SAP system was launched prematurely. This led to insufficient testing and training, confusion, and disruptions. They underestimated the system’s complexity and failed to manage the organizational change effectively.

Lesson learned: This experience highlights the importance of careful planning, preparation, and change management. These factors are crucial to ensure a successful large-scale digital transformation.

What can we do to ensure successful digital transformations?

Digital transformation, like any change, comes with challenges. From technical issues to employee resistance, these case studies show that hitting obstacles is inevitable, 

However, the rewards are too significant to ignore. These include increased efficiency, improved customer experience, and a competitive edge. According to Grand View Research, the global market for digital transformation was valued at roughly $880 billion in 2023 and is projected to grow rapidly, at a rate of 27.6% annually, through 2030.

Businesses must prioritize a clear vision, preempt roadblocks, and get stakeholders on their side if their transformations succeed. 

With the right approach, digital transformation can lead to a brighter future, not a dead end. 

The key is to learn from others’ missteps and embrace change as an opportunity, not a threat.

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