The transformation of traditional data analysis
What are the differences between big data, business intelligence and business analytics and how do I move from a sea of data to added data value in the company? Data intelligence plays a central role here, as it bridges the gap between pure data collection and intelligent, automated value
Data management
Unstructured data – i.e., text, videos, images, social media posts, and more – makes up the bulk of the world’s data, with 80-90% of all data falling into this category. As such, it represents a virtual gold mine of insights, just hiding and waiting to give savvy businesses a
In the rapidly changing IT landscape, companies need flexible data integration tools.
The integration of cloud and on-premises systems in real time is becoming increasingly important.
Five key functions ensure a successful, future-proof data strategy.
Efficient analyses
If data is the oil of the 21st century, most companies are sitting on huge deposits that they can no longer extract on their own.
In order to gain truly valuable insights from the growing masses of data, they need efficient analyses – such as data mining.