By Umme Sutarwala - March 15, 2022 4 Mins Read
Digital transformation is no longer a distant possibility. This unavoidable evolutionary process has become the standard for enterprises all over the world, driven by the ever-growing technology world and shifting customer expectations.
Digital transformation is accelerating at an extraordinary speed, making it the top priority for large firms. Despite the hurdles posed by the COVID-19 pandemic, expenditure on digital transformation techniques, products, and organizations will continue at a steady pace, according to a recent IDC survey.
DevOps holds important lessons about digital transformation for firms. Integration of software development and IT operations exemplifies how business and IT teams may collaborate to develop new systems, new methods of working, and new ideas that will attract and retain customers.
Despite these benefits, DevOps has been difficult to catch on, particularly in industries where many processes are still managed manually. Manual procedures may provide a sense of security, but they also come with the risk of human error and lost time. Technology specialists such as data administrators, network administrators, and application architects are critical, but generalists who understand numerous disciplines and can clearly convey technical challenges with business leaders are just as crucial. This aligns with the goals and processes of business leaders and DevOps teams.
Companies in the tech industry have long realized that having sysadmins battle fires and developers find and repair problems isn’t sufficient. IT departments at the most successful companies are able to be proactive instead of reactive.
Data-driven decisions are required for successful digital transformation. Many businesses fail to recognize that they must first establish a robust data foundation before going forward with transformation. Furthermore, many more are amassing large volumes of data but failing to use it in the development of their company strategy. This is a significant mistake, and without a good data-backed plan, the digital transformation is very prone to failures.
Data is indeed an essential asset. As a result, enterprises must make good use of it. In the digital transformation efforts, businesses must leverage and analyze data collected from industry and customer activity to yield actionable insights and facilitate data-informed decisions. This entails identifying ineffective business operations that need optimization; changing business priorities focusing on greater consumer intelligence; developing new products/services to enter a new market; affect future market strategies to make better strategic decisions. Enterprises should never underestimate the value of data-driven insights in developing a digital transformation strategy.
The business plan and the technology strategy must be in sync. To be sustainable, IT budgeting and software projects must be linked to the overall business strategy. Let’s imagine a company has to acquire certain data as part of its digital transformation. In that instance, businesses should use AI systems to examine all of the data. If the AI solution requires more core processors and the issue is with the system’s current condition, all of the data gathered will be for naught. As a result, the fundamental issue is that the organization has a strategy that works in theory but lacks the technology resources to keep up with business ambitions in practice.
To avoid a digital transformation disaster, businesses should hire a software engineering team to handle the technical aspects of the project.
Umme Sutarwala is a Global News Correspondent with OnDot Media. She is a media graduate with 2+ years of experience in content creation and management. Previously, she has worked with MNCs in the E-commerce and Finance domain
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