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Maximize Cloud Adoption Benefits with a Well-Architected Organizational Culture
Organizational culture, often described as the “personality” of an organization, determines how people work, interact, and respond to change and challenges. There is strong recognition,
However, while everyone agrees that organizational culture exists and shapes employee behavior, it is subjective and intangible. Can organizational culture be thoughtfully designed and constructed with intention, just like a well-architected system? In this blog, we will provide best practices to purposefully build the right organizational culture that accelerates cloud adoption to meet your business outcomes.
Why is the right organization culture important for cloud adoption?
The cloud offers a myriad of benefits, including cost reduction, improved business agility, operational resilience, and staff productivity. Despite the cloud’s rapid growth and widespread adoption, some organizations have been more successful than others at realizing the value of cloud services.
Our customers say their biggest challenge in driving enterprise digital transformation using the cloud is non-technical, especially cultural change. Every organization has an existing culture. Some aspects of culture are conducive to cloud readiness; some are neutral; and others are in conflict. Successful companies accelerate cloud adoption by using cultural levers to identify and address potential friction points.
For example, successful cloud adoption requires an open and collaborative culture as the focus is on self-service and reuse. The cloud encourages companies to prioritize speed over perfection. Decisions are not overanalyzed for every possible outcome. Experimentation is actively encouraged, allowing employees to learn by
Architecting organization culture
By default, or by design, every organization has a culture. Successful corporate cultures are not the result of accidents; rather, they are carefully and purposefully constructed. While culture does have a certain level of spontaneity and unpredictability, it can also be influenced and shaped by intentional actions.
Culture of customer-centricity. Cloud platforms provide ready-made building blocks for building business solutions. They promote a customer-centric culture as teams can focus on business value and innovation rather than IT internals as they take away “
Culture of leadership by example. CEOs often implement a set of principles that define their company’s culture, values, and long-term objectives. These principles help galvanize employees with a unified purpose. But to be truly effective, these principles can’t only be stated; they need to be practiced at every level of the organization. Leaders should communicate defined, measurable, and expected business outcomes while clearly articulating “Why cloud?”. In setting and communicating a cloud strategy, transformative leaders signal to their enterprise that “this is our future; we have a roadmap to get there, and we will equip you with the resources you need to be successful in this journey.” By fostering trust, providing resources, and promoting autonomy and collaboration, leaders empower employees to take ownership and drive positive change. They also promote an open and safe environment for employees to escalate without fear of retribution.
Culture of data-driven decision making. Today, decision-making requires real-time analysis of next steps and future prospects, not just static operational information. The cloud provides powerful artificial intelligence (AI) and machine learning (ML) tools for businesses to process vast amounts of data to inform strategic decision-making. A data-driven decision-making culture that emphasizes using data to inform, prioritize, and guide decision-making is necessary to maximize cloud adoption benefits. For example, manufacturing companies can use cloud-based AI and ML tools to analyze sensor data to predict and schedule maintenance to minimize downtime and reduce cost. By implementing a data-driven decision-making culture, the company can use insights from predictive maintenance analytics to prioritize maintenance tasks and allocate resources efficiently.
Culture of agility, innovation, experimentation and risk-taking. Cloud computing is well suited for an agile development culture. It thrives on the principles of experimentation, flexibility, and incremental delivery. Cloud-native technologies support fast and frequent changes to systems without impacting service delivery. The agile development approach emphasizes speed over perfection. There is value in knowing what not to do when an undesirable result occurs. For example, at Amazon, we use mental models to help guide and execute against our
Culture of continuous learning. This means organizations must prioritize employee training and education to ensure they have the skills and knowledge to navigate the cloud landscape. This includes technical training on cloud services and soft skills such as communication and collaboration. Learning should be built as a muscle and cannot be event-driven. There should be measurement and reward mechanisms for constant learning across organizations. Beyond training, internal mentorship programs can be set up where experienced cloud employees can guide newer team members.
Culture of reuse. Reuse of software assets is required to accelerate the value of the cloud. Reuse allows organizations to leverage existing, proven, and reliable software components, improving efficiency, cost savings, and time-to-market. For example, traditionally, software developers often spend time figuring out infrastructure resource intricacies, which takes time away from building software that delivers business value. In the cloud, using
Culture of automation and self-service. Cloud adoption involves leveraging the cloud’s powerful automation tools and self-service capabilities to provision, manage, and use resources. Self-service requires a cultural change where employees are trusted and empowered to take ownership and are accountable for their tasks. For example, in on-premises environments, application teams normally raise tickets with IT infrastructure teams to provision infrastructure. In the cloud, teams provision infrastructure on their own (self-service) through automated processes. This allows developers to be agile and spend more time delivering business value instead of waiting on someone to address tickets. Cloud adoption requires focused and organized effort, which a
Culture of security and compliance. Cloud adoption introduces new security and compliance considerations. Organizations must prioritize data protection, privacy, and regulatory compliance in the cloud environment. A culture that places a strong emphasis on security and compliance, with a
Culture of governance. Cloud services have become easier to subscribe to, but enterprise cloud adoption is more complex. Without the right governance in place, cloud usage can quickly spin out of control. In the cloud, infrastructure capacity shifts from “fixed” to “unlimited” capacity and scale. The cost model shifts from fixed to variable (pay-as-you-go). Although this provides much-needed agility in delivering value, it can occasionally result in shadow IT and unexplained costs. This is where a culture of cloud governance becomes important. It is the set of policies, procedures, and processes that an organization puts in place to manage and control its cloud usage. It is implemented through automated, real-time, continuous “guardrails” to ensure agility without sacrificing control.
Final Thoughts
It is well understood that each enterprise is complex and unique, and culture will vary. Organizational culture is important for transformation as it shapes the mindset, engagement, collaboration, change adoption, and resilience of employees. By fostering a culture that supports and aligns with transformation goals, organizations can increase the likelihood of successful and sustained transformation outcomes. At Amazon, our approach to innovation relies on a set of methodologies, concepts, and tools that stretch from culture to process to technology.
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