It’s an almost universal truth across industries these days that business models are changing as the pace of digital transformation gains speed. Today’s economy is focused on giving the customer what they want, when they want it, meaning IT teams must be both agile and flexible to support their business and see it succeed.
Applications are the fuel that runs the modern digital business machine. When the
infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, ensuring availability and performance was the responsibility of IT, but in today’s technology landscape the industry needs to evolve and reset the requirements on vendors.
The digital transformation of today’s technology landscape moves at breakneck speed. One of the only things that moves faster, is consumer demand and expectation. Consider this: Before 2007, not a single person in the world had a smartphone – but 13 years later, mobile devices are on track to outnumber the global population four to one. That kind of growth means business leaders need ask themselves, “What if the expectations of our customers exceed what we can do?”
In an industry that requires constant innovation to keep up with the demands of the customer, digital transformation- modernization of the datacenter - is crucial to digital enterprise. In fact, a Forbes Insight survey from 2018 found that 35 percent of executives reported a high degree of competitive disruption within their sector due to the growing number of technology-driven startups and technological innovations.
The digital workplace is in, and the days of Windows’ dominance and employees working from a single, stationary device are out. This new strategy champions flexible, employee-centric technology, and processes to aid productivity and unlock the potential of individual employees, teams, and organizations.
Digital transformation is becoming an increasingly popular course of action for enterprises trying to keep pace with emerging market trends, fluctuating customer demands, and increased competition. But traditional network architectures weren’t built to handle the types of workloads, and complexities, that arise as a result. Even worse, in an attempt to take on the work these architectures – post-digital transformation – can actually compromise business-critical services and network performance.
Digital transformation is fundamentally changing the way organizations view and manage their data, with an estimated 60 percent of data-driven enterprises scheduled to begin digital transformation by 2020. This transformation allows enterprises to use their data to generate revenue and keep a competitive edge – but only if it can be stored accurately and organized in a way that keeps it easily accessible.
Many enterprises are undergoing a digital transformation as they move towards business models that collect and use data as a strategic digital asset. This information is used to drive better insights and improve agility, but as the demands for in-depth collection, analysis, and response grow older, technologies can’t meet the evolving requirements.
While many industry experts are writing about the importance of IT and digital transformation, few are diving into the details of what exactly they should be transforming to. Should the focus be on analytics and big data? The move to the cloud? Mobility?
The rise of cloud technology enabled organizations to shift computing-power and data storage from private data centers to public cloud environments. The transition to the cloud facilitated vast amounts of data to be accumulated and manipulated in a centralized way; however, widespread use of the Internet of Things (IoT) has created new data processing requirements. It does not make sense to centralize massive amounts of raw data gathered by IoT sensors, so edge computing seeks to fill this need by decentralizing and distributing computing resources.
