The Digital Revolution These Four Skills Are Essential for Digitalization Projects
IT architectures, databases, business intelligence and IT security: How well equipped are professionals to handle the challenges?
The mass amounts of data and devices, business models and digitalization projects mean IT professionals have to make sure they stay fit, especially in the fields of IT architectures, databases, business intelligence and IT security.
According to a survey conducted by MSG in which more than 700 IT professionals across Germany were interviewed, three of those four skills are well covered – it is merely business intelligence that has been left behind.
“We have been advising companies on their digitalization projects for years. Core topics are the four mentioned above. Even if business intelligence used to be just a buzz word, it is still extremely relevant,” states Ralf S. Engelschall, Head of MSG Applied Technology Research. “Business intelligence is commonly, and incorrectly, considered unimportant. Data and the analysis thereof are the oil fields of the future.”
The Four Skills for Digitalization Projects
1. IT Architectures: Infrastructures are becoming increasingly complex – whether as a result of hybrid cloud infrastructures or complex networks involving billions of devices in the Internet of Things. In order to stem the burden of growing workloads and to be among the service elite in a digitalized company, it is essential for IT professionals to master IT architectures. Both the established layer architecture and modern approaches such as micro services play a decisive role here.
2. Databases: Today’s personalized services must deliver data in real-time – not to mention the access it must enable, both internal and external, whether from Internet of Things (IoT) devices or simultaneous saving and processing. Those wanting to generate a profit from digital products and services will have to master modern data storage and be part of the progressing development. Decisive in such efforts will clearly be establishing a symbiosis between traditional relational data storage and NoSQL approaches.