adesso Blog

There is still very little data sharing going on in today’s insurance industry. Obstacles to this include strict and often unclear regulations, reluctance to share data or the difficulty involved in calculating the value of data in advance. Gaia-X offers insurance providers enormous potential. I will explain what that potential is in my blog post.

The German Federal Network Agency published adjustments to the MaKo 2022 on 1 October 2021 (part 1) and 15 October 2021 (part two). These changes cover three areas in particular: EDIFACT data formats, XML data exchange and decision tree diagrams. We explain what this means in detail in our blog post.

The core task of insurance sales is to generate new customers and to ensure existing customers remain loyal to the company in the long term by providing ongoing consultancy and managing their needs. The key to success is to individualise each customer to the greatest extent possible through deliberate actions and recommendations. In our blog article, we show how this can be achieved and why insurers need to be proactive.

In recent months, there have been many innovations in the market for self-service BI tools. In this way, innovative software products are making it possible to expand the user base of analytics applications. Our customers have also become aware of this development, which has led to us being commissioned to carry out a corresponding tool comparison. In our blog post, we would like to briefly describe the procedure used for this tool evaluation and then present the data preparation tools from the shortlist (Alteryx, Trifacta and Microsoft Power BI Dataflows) in more detail.

Data is the new gold of the digital age. So why not own as much as possible? The answer to this question is presented in the third part of my ‘privacy in software development’ blog series. I’ll also introduce you to the principle of data minimisation in more detail.

As a result of the digital transformation, companies now generate and collect huge amounts of data. The potential of data to transform previous business models often falls by the wayside in many areas. So in this blog post, we explain how companies can integrate data as a key resource into day-to-day operations as well as business strategy with the help of the DDBMI process model.