When it comes to lending, banks are increasingly harnessing the power of machine learning to drive targeted campaigns. But to offer the right loan at the right time, you need to understand how customers behave.
As of June, the bank identity system can also be used in the private sector. One of the companies that has already started using BankID is Česká spořitelna – penzijní společnost, a.s., where BankID has been implemented by Profinit. Read the interview with ČSPS’s IT…
In June, the race Gin Czech Open 2021 took place in the Krkonoše Mountains, announced as the Czech XC Paragliding Championship. A total of 70 pilots participated, one of whom represented Team Profinit. Read the interview with Profinit’s Patrik Faistaver. How did you get into…
“In God we trust. All others must bring data.” — W. Edwards Deming Making decisions based on data is a sensible idea now accepted by the vast majority of managers. There is also a fairly broad consensus on the prerequisites for data-driven decision-making in companies.
What does it mean to start using cloud services efficiently? From a business perspective, the most important thing is to gain added value compared to on-premises solutions. That’s what my last post was about. In this post, I will discuss several areas that are…
The cloud is cool. How can it be leveraged to get maximum added value? We live in the cloud age. Most of the internet services I use run on the cloud. The business applications our customers use are also mostly on the cloud—and not just…
Data mesh is such a new concept that it doesn’t even have its own Wikipedia page yet (in May 2021). Despite this, or maybe because of this, it’s good to know what it’s for. Data mesh is a data management approach for specific data…
Is it really worth replacing your legacy system? Before you take the plunge, you should know there are three common misconceptions business decision-makers often have about replacing the whole legacy system. To manage these unrealistic business expectations, a couple of key areas need to be addressed first.
When building data management enterprise solutions, we often encounter a requirement to combine the agile approach with a guaranteed fixed scope, budget, etc.
Investing in something you don’t need right now seems to be a reasonable decision. However, if your company addresses only the most immediate problems, inevitably the day comes when your old core system run amok and action will have to be taken quickly. Changing a legacy core system is a complex process and continuous modernization is the right answer to it.
