The COVID-19 outbreak has had major impacts on the way business is done, and how patients are cared for. The virus has forced organizations across the globe to re-evaluate their digital transformation plans and adjust what it means for projects to be considered “critical.”
Eggplant Blog
In a recent piece on how organizations are grappling with the pandemic, CIO’s Clint Boulton wrote, “As the COVID-19 coronavirus rattles industries, it’s more important than ever for IT leaders to ensure employees have the tools they require to work remotely and securely.” This is certainly true, but it’s equally important that business continuity plans include strategies for ensuring that customers and partners are able to receive the digital products and services they rely on throughout the pandemic’s duration.
In the previous post in our series on the business implications of the coronavirus pandemic, we explored the importance of performance and scalability testing. Today, we’re examining a related topic: namely, how automation can enable workforce agility and reliable technology even as global teams are working remotely for an indefinite period of time.
In a recent column in MIT Sloan Management Review, Thomas H. Davenport and Andrew Spanyi wrote, “The evidence is piling up that organization-wide digital transformation is challenging for many organizations.” The authors go on to list many of the factors that are causing companies to struggle with digital transformation—among them, numerous legacy systems, too much technical debt and a large number of functional and business unit data silos to overcome.
2019 was a banner period for technology innovations, with the rise of 5G networks, increased adoption of biometrics, advances in robotics, and new regulations paving the way for more widespread drone deployments among the year’s milestones. It was also a busy time at Eggplant, as we focused on enhancing our solutions to give companies unparalleled testing precision and helping more organizations realize the power of intelligent, AI-driven testing.
A recent ZDNet article by Joe McKendrick states, “Business leaders are losing patience…they are leaning on their IT departments harder and harder, pressing for more and faster delivery of software that will keep their companies in the digital race. They like what IT is delivering, but the challenge for IT managers is to step up the pace of delivery with as few glitches as possible.”
“The collapse of Thomas Cook, one of the most high-profile company failures in the history of the travel industry, will be pored over by analysts for years to come.” This according to an article by PhocusWire’s Kevin May but it’s a sentiment shared by countless other media members, Thomas Cook employees, and the 150,000 people stranded by the company’s disintegration.
Digital transformation is a top enterprise buzzword—and for good reason. As companies across every sector embrace cloud, AI, machine learning, the IoT and other technologies, it’s clear that the future belongs to those who can effectively harness digital technology to drive business outcomes.
Lack of communication is often cited as the biggest problem Business have when implementing DevOps. This would be communication between co-located teams where the team just doesn’t talk, teams across geographies where time zones come into play, even where the IT and Business just will not discuss things. Indeed, there are many places where a lack of communication can cause DevOps to fail.
Daniel Priestly points to “Illusion of Limited Resources” as the number one limiting factor to holding you back from becoming a Key Person of Influence. It is the same fallacy that holds organizations back from progress.