Business models are constantly evolving as enterprises undergo digital transformation – an inevitability as industry moves towards the on-demand service that customers look for today. Last week we explored how HPE GreenLake can help build a custom solution for your business’s storage needs. Today, we’re diving into why it makes financial sense, too.
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.
Nearly every enterprise is in the process of expanding their use of cloud. This makes a lot of sense; the cloud enables IT teams to speed up the delivery of services while reducing operational costs. The process is far from easy, however. Cloud implementation has become complex and difficult for businesses to handle without seeking qualified advice outside their internal IT resources—and without the right expertise of cloud-native automation, companies risk losing the benefits that prompted their cloud investment in the first place.
Digital transformation is reinventing the IT infrastructure. Enterprises are shifting to software-defined data centers and the new technology that comes with them. AI and machine learning (ML), cloud utilization, and software-defined storage are just a few of the many new tools that organizations now employ to help them harness the power of their data. As a result, IT infrastructure management has become increasingly complex. IT staff can no longer be expected to manage every part of the infrastructure. However, the answer to this issue is simple: let technology manage itself. AI/ML intelligent data platforms can provide comprehensive data management throughout the infrastructure.
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.
April 22nd is Earth Day, but in the face of a rapidly changing world, one day to focus on being environmentally friendly isn’t enough. That’s why WEI continues to embrace its corporate responsibility and weave sustainable practices into the framework of the business.
As the trend toward the digital enterprise surges forward companies of all sizes are facing their respective challenges adapting to the pace of change. The expansion of mobile, social and the Internet of Things means a hike in the demand of IT as a trusted partner more than ever before.
Software as a service and many other digital business models have never been the same since the possibility of leveraging hybrid IT. Thanks to it, an organization can deliver services in a more optimized, balanced, automated, granular, and flexible fashion.
The idea economy (a term coined by HPE) represents a new paradigm, where a company (of any size) can add value and disrupt the market faster than ever—thanks to the advancement of the public cloud, mobile devices, social media, and big data analytics. Transforming your data center into an agile, hyper-connected enterprise IT environment that can handle the challenges of the idea economy will require some investment. But that investment is probably less than you might think and there are multiple ways to approach financing that won’t break the bank.
