When you use business intelligence, passive data becomes active, usable knowledge. Systematic helps companies and organisations create an overview and transform their data into valuable management information and decision support.


Data is one of the strongest tools we have


In our digitalised working and leisure lives, most of the things we do are linked to data-generating technology. Whether it is which books we borrow from the library, or the times at which most citizens are admitted to the local A&E department.

All data can potentially make us smarter and make things cheaper, better and more efficient if we manage to process it correctly. Using business intelligence, seemingly immeasurable amounts of data can be transformed into useful knowledge which can support decision-making in real time, but it can also be used to make accurate predictions based on large volumes of accumulated data.

“Data is one of the strongest tools we have, because it is effectively facts – and because business intelligence gives you an overview of the data, and enables you to extract the most valuable knowledge from it. It is possible to identify patterns that enable us to predict a number of outcomes before they happen, and we can also see when something deviates from the norm – all on the basis of data,” says Erik Søndergaard Andersen, Senior Manager in Business Development, who heads Systematic’s business intelligence and data science team.

At Systematic, business intelligence and data science is an area witnessing significant development. Business intelligence is a strong tool for providing decision support – especially in critical situations, where data can show what the situation looks like now, how the situation has developed over time, and how it looks compared to relevant benchmarks.

Business intelligence is used, for example, for management information, budgeting and settlement in municipal social care. Data can also be modelled and used to generate prognoses within health and care, and make it possible to estimate which combination of services will give citizens the most effective treatments and rehabilitation.

In the library sector, citizens and librarians can see which books attract the greatest interest. Citizens can be recommended particular books, which might interest them based on what people with similar borrowing patterns have borrowed. In this way, libraries obtain a factual data basis for creating a better experience while supporting users’ wishes and needs.

In the healthcare sector, it is possible to monitor and predict how patient flow and bed capacity will evolve on a hospital ward over a 24-hour period. Common to all these examples is that Systematic uses data to increase the value of its software while transforming data into insight and decision support for the benefit of customers and citizens alike.

“Business intelligence holds huge potential for basically all business areas – both public and private. And the companies that manage to use data to plan, develop and optimise their processes and products will be those that win in the long term,” says Erik Søndergaard Andersen.