Today, we live in a world which is highly driving towards digital transformation. Digital Transformation is more than just a buzzword - it's a process of using technology to radically change your business.
Why is digital transformation so important and topical? Quite simply, if your organisation is not modernising then you'll be left behind, and the threat of disruption becomes very real. So, now you have known the importance, here are six skills required for companies to drive success in Digital transformation.
1. Big Data Analytics
Big data allows companies to make meaningful, strategic adjustments that minimize costs and maximize results. If you know what consumers and employees are doing currently, you can create projections for what they will do in the future, and start implementing changes to address their needs and your goals. A digital transformation isn't complete unless a business adopts big data.
Building a chatbot is impossible without UX designers. Once a business case has been established, you will need UX designers to help figure out how the product will look and feel. Many UX experience designers can code, though their main role is shaping how end users will consume the product.
Mobility is an essential enabler of Digital Transformation. However, when it comes to enterprise mobility management (EMM), there is a lack of strategic planning among many businesses. Organizations are focused on the broader digital revolution for improved efficiencies, revenues, and profits, but few are prioritizing mobility management in their plans.
Cloud computing and Digital Transformation go hand-in-hand. Cloud services, which effectively offer unlimited and dynamic IT resources, form the foundation of Digital Transformation and can facilitate rapid business change. But it is also clear to more organizations that Digital Transformation strategies serve to directly enhance the effectiveness and benefits of Cloud implementations.
As businesses start on their journey to Digital Transformation, they must make cybersecurity a top priority. Organizations need to maintain confidentiality, integrity, and availability of data in all these contexts: on premises, in the cloud, and in hybrid environments. Both the value and the volume of data have never been higher, and end points are more vulnerable than ever.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. According to a survey from Tech Pro Research, just 28% of companies have some experience with AI or machine learning, and more than 40% said their enterprise IT personnel don't have the skills required to implement and support AI and/or machine learning.