Enterprises are driven by the need to evolve constantly. Even in 2017, as most enterprises undergo the much needed digital transformation, the focus would be on acquiring new information technology that can play a vital role in optimizing the enterprise IT services. However, while having to meet the demands of the future business requirements, enterprises also need to ensure the transformation costs do not surpass the expected returns.
In addition to the challenge of maintaining a check on cost drivers, organizations would have to deploy effective security and compliance mechanism during the transformation process, which can play a vital role in delivering an impressive end-user experience.
In order to achieve a successful transformation of enterprise IT, companies have to thoroughly analyze each business process to the resources are utilized effectively. Some of the avenues that are expected to drive enterprise it in 2017 are discussed below.
Enterprise Crowd sourcing
The knowledge of various service requirements is held by different parties such as designing and delivery teams along with the clients, and the current mechanisms to procure and distribute this information is mostly semi-automated. If digitalization of this process is a key to successful transition, then enterprise crowd sourcing can be the ideal way to utilize the knowledge available with these groups.
The accelerated deployment of access management capability would not only improve operational excellence but can also considerably improve the efficiency of procuring the required knowledge, while simultaneously retaining the focus on compliance. Subsequently, the knowledge networks can be effectively utilized to optimize the overall transformation initiatives.
Matured enterprises in 2017 could identify the value of explicit transformation that enables pay-as-you-go or on-demand resource availability to critical business applications. Having the focus on customer’s perspective, with the capability to deliver the results whenever and where ever they need, would put the impetus on optimizing the Software Defined Networks (SDNs). This would allow the organizations to cater to the contrasting and unique need of each customer and deliver a multi-modal experience.
The influence of Cloud technology as the enabler of Software as a Service (SAAS) is inevitable, while its utility for Infrastructure Service Providers (ISP’s) is also obvious. Hence, enterprises undergoing a transformational phase in 2017 would have to figure out competent methods the meet the challenges that usually arise during the migration of business critical applications and various other critical workloads to the cloud.
Using the Darwin framework, which is an integrated automation capability, migration of workload can be automated to comprehensive levels and can go a long way in minimizing the risks and cost associated with the migration.
Mobile and Wireless Transformation
The mobile platform offers the immense opportunity to develop and deploy effective enterprise solutions that can provide scalable, manageable, capable and secure integration of various IT components. Companies focusing on enterprise IT transition would have to upgrade the conventional wireless networks which are used by mobile devices for communicating, making them much more robust, secure and cost-effective.
However, the development of large-scale enterprise mobile solutions is also required to conform to the high standards of safety and security. In order to achieve this in the context of various industries, the necessary processes and policies would have to be developed, which would require high levels of automation.
Internet of ‘Transformation’
For change-motivated organizations, the focus is no more on the devices being connected through IoT, but has now shifted to the overall ability of IoT to transform their current digital capability. Companies looking to maneuver change through an abstract deployment of devices used merely for sending and receiving non-critical data would have to change their strategy in 2017. As the innovations in IoT, combined with multidimensional data analytics, are capable of revolutionizing overall business models, there is enough motivation for enterprises to focus on the transformational aspect of IoT.