“Data is the new raw material of the digital age.” This statement has long since become a standard mantra in the modern business world. But a closer look reveals a paradoxical problem: Many companies are literally drowning in a flood of information while simultaneously starving of genuine knowledge. The sheer amount of available data is growing exponentially, yet the potential it holds often remains untapped. Why is this? Why do so many projects fail that were actually intended to be drivers of innovation?

The challenge: Data as a raw material, not as a valuable commodity
In our presentation, we want to shed light on precisely this discrepancy. We will demonstrate why comparing data to a commodity like oil, while apt, falls short. Raw materials are worthless until refined – and this is precisely where the biggest hurdle lies for many organizations.

Together, we will examine the challenges that shape the daily work of many departments and IT teams:
● The silo trap: Data is stored in isolation in different systems – be it in sales, accounting, or production. Without a unified data strategy, no real connections can be established.
● The quality dilemma: True to the principle of “garbage in, garbage out”, incomplete or outdated data sets mean that even the most modern analysis tools deliver only unusable results.
● Infrastructure complexity: Legacy systems built for a different era are reaching their limits with today's data load. At the same time, storage and computing costs are exploding, often before any real added value has been generated.

The human in the center
However, this presentation will not only cover technology, architecture, and compliance issues. A significant part of our discussion will focus on the "human factor." Even the most advanced technology is of little use without the expertise to interpret the results.
We explore why "data literacy"—the ability to understand data and use it as a basis for decisions—is more important today than ever before. Success often hinges on the interface between business and IT, where the "translators" who speak both languages ​​are lacking.