There is no escaping it: job openings for all kinds of roles are flying past you. How many vacancies have you seen today alone? If you pay attention, you will notice that the demand for data experts, engineers, and analysts is high – and that is just the tip of the iceberg.
Companies are facing a critical shift in the labor market. The shortage is already noticeable, but the biggest wave of aging is yet to come. Many companies are insufficiently prepared for the loss of knowledge caused by the outflow of experienced employees. And it is not just about preserving knowledge; the same amount of work will soon have to be done by a smaller group of employees. This requires better processes, the right tools, and above all the right experts in the right place. In other words: not just a digital transformation, but the necessity to become hypereffective.
Hypereffectiveness Is a Must
Digital transformation is a must to stay competitive in the market, but hypereffectiveness is what truly makes your company attractive – not only to customers, but also to current and potential employees. But what exactly does hypereffectiveness mean? It may sound like a buzzword, but it is about much more than just efficiency. Hypereffective means doing the right things at the right moment. And doing them extremely well. Then you are automatically efficient too.
With hypereffectiveness, you deploy data so that it works for you, rather than the other way around. With the right algorithms, you can optimize processes based on real-time information. Decisions are made based on predictions that are immediately available, and tasks that used to take hours or days can be completed in minutes.
You can only achieve this when your data is properly managed and analyzed, and when you embrace AI and automation. That is how you stay competitive. Think of the news: whoever reports it first gets the most attention. The same goes for companies that deploy AI – they stay ahead, with all the competitive advantages that come with it.
The Aging Challenge
The aging workforce, which is already underway, poses major challenges for companies. Experience and knowledge are disappearing, and the influx of new talent is limited. Moreover, many new employees do not want to work full-time. How much has your organization already invested in training new employees? But perhaps more importantly: how many of those new employees stay longer than a year? Turnover among younger employees is often high.
Solutions for Companies
Fortunately, there are solutions to these challenges. The first step is getting your data governance and data management in order. This allows you to make the transition to a data-driven organization, which is essential for preserving the knowledge that is at risk of being lost. This does require an investment: your existing employees need to be trained and developed in new technologies. But this makes your company more attractive, both for current and future employees. Development opportunities are often seen as an important secondary benefit. Moreover, people want to work with the latest technologies.
Automating tasks and processes and deploying AI not only helps to compensate for the staffing shortage, but also makes the work more interesting. The boring, repetitive tasks disappear, and what remains is more challenging and meaningful work.
Real-World Example: VVV Texel
A good example is the recent collaboration with VVV Texel. Through the use of automation, they can perform the same amount of work with fewer people. This demonstrates that with the right streamlining of data, you can make your organization not only hypereffective, but also competitive – both in the market and in the labor market.
Ready for the Future?
Are you also facing these challenges and do you want to know how digital transformation can help your company? Or are you curious how you can automate more processes with AI? Schedule a consultation – we would love to show you how your company can benefit from these technological developments!