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Skills Training for the Digital Economy: A Role-Based Approach

Introduction

We are today firmly within the Fourth Industrial Revolution (4IR). Where steam drove the First Revolution, electricity drove the second, and digital computing drove the third, the Fourth Industrial Revolution is driven by interconnectivity and rapidly changing technologies. According to the World Economic Forum:

“The technologies that define the Fourth Industrial Revolution (4IR) include artificial intelligence, machine learning, robotics, data science, cloud computing, and the internet of things. In turn, these technologies have powered other new technologies like genetic engineering, which has transformed agriculture and medicine, and blockchain, which is transforming commerce.”

Various pressures have compounded the pace of technological change, including the Covid-19 pandemic, which has changed how people socialise, work, and conduct business. These pressures have also accelerated 4IR’s pace – particularly here in Africa, where new and emergent technologies are driving rapid innovation across many sectors.

To survive in today’s business landscape, companies must increase their use of digital technologies, transform their operations and processes, and reduce their dependence on in-person interactions.

To thrive, business models and operations must be reimagined and rebuilt to take full advantage of 4IR technologies. In these times of stretching and growing, one thing is clear: the organisations that will thrive are the ones with the necessary talent to navigate the transition successfully.

“The Fourth Industrial Revolution can be described as the advent of ‘cyber-physical systems’ involving entirely new capabilities for people and machines. While these capabilities are reliant on the technologies and infrastructure of the Third Industrial Revolution, the Fourth Industrial Revolution represents entirely new ways in which technology becomes embedded within societies and even our human bodies.”

To survive in today’s business landscape, companies must increase their use of digital technologies, transform their operations and processes, and reduce their dependence on in-person interactions. To thrive, business models and operations must be reimagined and rebuilt to take full advantage of 4IR technologies. In these times of stretching and growing, one thing is clear: the organisations that will thrive are the ones with the necessary talent to navigate the transition successfully. WEF “The Fourth Industrial Revolution can be described as the advent of ‘cyber-physical systems’ involving entirely new capabilities for people and machines. While these capabilities are reliant on the technologies and infrastructure of the Third Industrial Revolution, the Fourth Industrial Revolution represents entirely new ways in which technology becomes embedded within societies and even our human bodies.”

The digital transformation movement has caused companies worldwide and across industries to invest in intelligent systems and software to automate their processes and optimise their business models. However, what separates the digital transformation successes from the failures is access to talent that can apply new skills in relevant digital technologies successfully. Deviare takes a role-based approach. Here’s what this means: 1. Identifying the critical roles in an organisation to successfully deliver digital transformation goals throughout the different business areas. 2. Ensuring that each role has the right mix of skills to push the company’s digital transformation goals forward. 3. Creating an integrated learning path for each role, which delivers both digital skills and practical experience in application to business use-cases. This role-based approach contrasts with the skills-based approach taken by many learning libraries, where the focus is more on a large course collection and each course focusing on one skill. Developing the skills base of your organisation by choosing training courses from a catalogue as the need for that skill arises may seem a simple and effective approach, but this is a reactive method. It leaves you with crucial skill gaps while employees are being trained. Our comprehensive role-based approach to skills training was developed through a rigorous process: • Research and map industry trends. • Identify and list critical roles, and skills needed for each. • Develop learning paths that deliver these skills and the ability to apply them successfully

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Research and map industry trends In order to develop a clear picture of the business models and operation transitions influencing industries, trends must be mapped out and understood. This provides clarity on the skills and roles needed to bring digital transformation to each. In the development of our role-based approach, four major global industries were mapped in detail: • Banking, Financial Services, and Insurance (BFSI). • Consumer Packaged Goods (CPG) and Retail. • Telecommunications. • Technology and Consulting.

 

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Identify critical roles and skills needed for each


Using deep insights into how companies in these industries operate and what trends there are in each sector, we’ve worked alongside our learning and technology partners to identify the critical roles that
drive these companies. They fall into four broad categories, namely Digital
Business, Digital Operations, Data and AI, and Technology. Collating the different organisational

structures across companies and industries, the critical roles identified have been simplified into a framework that can serve most organisations.
Do note that different organisations may name these roles slightly differently. The functions they cover do however comprehensively cover the talent needs of most organisations looking at digitally transforming their business.

37 Critical Roles Driving Organisations Through the 4th Industrial Revolution

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Each role has a specific set of skills that is essential to success in that role. Our skill mapping for each is based on the skills that drive successful outcomes across different organisations and is continuously updated as technologies change
The example below maps Data Science skills for
Data Science roles. Similar skills mapping has been
done for each of the critical roles.
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Develop learning paths for specific roles

With the skills for each role identified, learning paths for each were created. The learning paths teach and validate the skills required and ensure practical hands-on experience through industry projects and capstone projects. This makes digital up-skilling both outcome-oriented and easy to map to any organisation’s needs. The aim is to ensure that each critical role is filled with well-rounded talent and that they have all the skills needed in order to deliver results.
Deviare’s learning paths build skills in a specific, logical order, starting with foundational skills for the role’s area of competence. The foundational skills for a Data Scientist are the statistical tools used in data analysis. The initial courses in the Data Scientist learning path thus introduce the real- life uses of data science, the statistical methods needed to do the work, and skills in using the R programming language.
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Following this, learners build on the foundation and learn intermediate skills that prepare them for the specialised phase. These include advanced R skills, Python programming skills, and skills in applying Python to data science work. Mastering these skills gives learners the opportunity to understand and thrive in specialised courses and complete the learning path’s Capstone project.
The learning path may also include skills from other areas of competence related to the role. Deviare understands the need for a workforce with a well- rounded skills base. In addition to developing the necessary depth and expertise in their domain of specialisation, learners acquire selected skills across all categories of Digital Business, Technology, Digital Operations, and Data and AI.
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Case Study

Skills Training for the Digital Economy: A Role-Based Approach

Skills Training for the Digital Economy: A Role-Based Approach

Introduction We are today firmly within the Fourth Industrial Revolution (4IR). Where steam drove the First Revolution, electricity drove the second, and digital computing drove the third, the Fourth Industrial Revolution is driven by interconnectivity and rapidly changing technologies. According to the World Economic Forum: “The technologies that define the Fourth Industrial Revolution (4IR) include artificial intelligence, machine learning, robotics, data science, cloud computing, and the internet of things. In turn, these technologies have powered other new technologies like genetic engineering, which has transformed agriculture and medicine, and blockchain, which is transforming commerce.” Various pressures have compounded the pace of technological change, including the Covid-19 pandemic, which has changed how people socialise, work, and conduct business. These pressures have also accelerated 4IR’s pace – particularly here in Africa, where new and emergent technologies are driving rapid innovation across many sectors.

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