High-quality data is the engine of modern business management. Whereas raw data used to be fragmented and difficult to interpret, artificial intelligence and predictive analytics now make it possible to translate data into strategic insights. With technologies such as reporting, analytics and AI, you gain razor-sharp insights into business processes, discover patterns and bottlenecks, and can even map out future trends. This allows companies to steer their growth in a targeted manner thanks to correct data.
It is becoming clearer every day that data-driven business management is becoming an indispensable pillar for modern organisations. It gives leaders the tools to make informed decisions and work more efficiently. But is the Belgian business world ready for this transformation? In this blog, we discuss the five biggest challenges of a data-driven approach and how best to tackle them.
1. Technology follows strategy
For a long time, technology was seen as an end in itself. Companies wanted to ‘surf the digital wave’ and invested without a clear strategy or tangible added value. Those days are over. Nowadays, technology is a means that must perfectly match the objectives of your organisation. Therefore, always start by focusing your priorities and ambitions, and then choose the tools that make this possible.
In addition, it is important to not only invest in solutions that work in the short term, but also in technology that offers sufficient flexibility for innovation and growth in the long term. As an account manager at Ctac, Thijs Paepen consciously looks beyond the technical specifications when designing data infrastructures: ‘Analyse the situation strategically: how does the infrastructure support the business objectives, maximise that value and open doors to future opportunities?’ This strategic mindset is the basis of Ctac’s approach.