Digitalisation as an Opportunity for Businesses - An Overview

Digitalisation has become a central driver of change in the business world. Technological advancements are influencing almost all aspects of corporate management, creating both opportunities and risks for companies. Selected opportunities of digitalisation for companies are presented below in an overview.

Improving efficiency and saving costs

One of the most significant opportunities that digitalisation offers businesses is the potential for increased efficiency and cost savings. Through process automation, the use of data analytics, and the transition to cloud computing platforms, companies can improve their operational performance while simultaneously reducing costs. Cloud computing typically refers to the provision of IT infrastructure and IT services (e.g. servers, storage space, or application software) as a service over the internet (cloud). Benefits of cloud computing can include faster deployment of innovations, more flexible resources, and the achievement of economies of scale. Furthermore, users of cloud computing incur no capital expenditure, and the "products" can be provided on demand and as a self-service.

Opportunities for innovation

The integration of new technologies such as artificial intelligence (AI) and the Internet of Things (IoT) opens up innovative opportunities for businesses. The development of new products and services based on these technologies enables companies to differentiate themselves in a competitive market and strengthen their competitiveness. Artificial intelligence, in this context, refers to a certain number of modern mathematical-statistical methods with the aim of creating a technical equivalent to human intelligence, thereby enabling automatic decisions to be made based on available information. The Internet of Things (IoT) refers to the increased networking between everyday objects or machines in an industrial environment, both with each other and with the internet. In other words, IoT is a network of various objects or an interface between the virtual and real world.

Improved customer experience

Digitalisation allows companies to create personalised customer experiences. By analysing customer data, tailor-made offers and services can be provided, thereby increasing customer satisfaction and strengthening customer loyalty. It should be borne in mind that digitalisation means customers not only gain experience with a brand or company when purchasing a product or service but can also come into contact with marketing, sales, or customer service even during advertising. In conjunction with this, digitalisation also facilitates market development. Online platforms and global networking offer the opportunity to offer products and services across geographical borders, thereby maximising the potential for revenue growth. Companies can thus more easily expand into new markets and acquire satisfied customers.

Increased flexibility and agility

Digital technologies create increased flexibility and agility within companies. The ability to react quickly to market changes and introduce new business models is facilitated by digitalisation. This is crucial in a world that is constantly evolving. Agility in companies and, relatedly, agile project management methods are fundamentally defined by four central aspects. These are speed, adaptability, customer focus, and mindset. For companies, speed and adaptability mean that organisations must react quickly and dynamically to changes and adapt rapidly. Aspects such as shorter cycles and iterations, proceeding in small steps and the ability to react quickly and specifically to customer wishes characterise the focus on ever-increasing customer centricity. Finally, the agile mindset encompasses various factors of employee behaviour. An appreciative approach to one another is important here, enabling interaction on an equal footing.

In relation to project management, the classic method (of project management) differs from the agile method in particular in that classic project management focuses on processes, whereas agile project management focuses on people. Furthermore, agile project management methods are characterised by minimal documentation, little planning and iterative processes – management in an agile organisation is self-managed and decentralised. In contrast, within the framework of the classic project management method, documentation is comprehensive, planning is intensive and processes are linear. Management acts centrally here and the organisation is administrative. Typical advantages of agile project management are the strong sense of teamwork and self-organisation. Through continuous improvement processes, it should also be possible to learn effectively from past experiences and adapt priorities.

Big Data

Digitalisation, in conjunction with the buzzword "Big Data," offers the possibility of providing better information as a basis for decisions. Big Data refers to the high volume, transmission speed, and heterogeneity of data typical of the digital age. Big data analyses are innovative and cost-effective analytical methods that are intended to take these data characteristics into account, thereby enabling a better decision-making basis. This, in turn, can contribute to the improvement of corporate strategy.

When analysing big data, companies must overcome several challenges. The most well-known are IBM's "4 Vs" – Volume, Velocity, Variety, and Veracity. Volume refers to the increasing amount of data that companies need to manage in order to extract meaningful information. This is primarily about the efficient management of data volumes. Variety expresses that data exists in many formats, and a challenge can already lie in making data from different sources compatible with each other. An important goal is to make the different types of data evaluable in order to recognise specific patterns or formulate statements. Velocity refers to the speed at which current data is available and shows that analysis as soon as possible is essential. Real-time evaluations are important for companies as they determine the quality of the analysis and often conclusions – for example, in risk management or for predictive maintenance – are required in a matter of seconds. Finally, Veracity refers to data quality. This is crucial for deriving added value from the existing data, as incomplete, erroneous, or unreadable data can negatively impact calculation results and complicate analyses. Ideally, the use of big data leads to achieving competitive advantages, generating savings potential, optimising business processes, and creating or improving existing business models. From a practical perspective, companies can adjust to competition as efficiently as possible and react to market changes more quickly.

Image: © Adobe Stock - Alexander Limbach