Momentum Digital Transformation

The Road from Cloud Storage to Knowledge Management

Estimated Reading Time: 3 Minutes



by Dr. Olaf Holst

People working in see-through building

According to a study conducted by the Borderstep Institute for Bitkom e.V., the IT performance of “data centers in Germany” grew by 84 percent from 2010 to 2020. An increase of a further 30 percent is expected by 2025.

This development is primarily due to increasing digitization and the growth potential in the area of cloud computing. Stephanie Schuldes has explained the fundamental issues very well.

The cloud can be more than just online storage

Anyone who initially thinks of the cloud as simply being used for additional storage space is not entirely wrong. After all, the creation of an account with Google, Microsoft, Apple, etc. is usually accompanied by the addition of a few gigabytes of space for storing any content. Additional volume can be booked conveniently on-demand at the click of a mouse, paid for conveniently on a monthly basis, and can be canceled just as easily. In addition, the providers often supply tools for analyzing and categorizing the uploaded content and its metadata. This makes it much easier to search for a specific image or document. This is the first rudimentary step towards knowledge management.

Professional knowledge management for companies

The requirements of companies go beyond this automated – and therefore per se limited – approach. Compared to private users, there are millions or even billions of data records to be processed. Professional knowledge management therefore requires the use of modern technologies that – such as yuuvis® Momentum – rely on a combination of Big Data, Data Analysis and Machine Learning (AI) as well as high scalability. Another difference to the convenience functions for private users is that at the important key point between the data stock and the knowledge claim, the expert view of a human is required first. This is because professional knowledge management involves finding out on a customer-specific basis how the historical, current and future data material is to be recorded, processed and made available.

Moving toward an open knowledge base

For a company-wide knowledge platform, an appropriate technical framework must be created first, which is filled with adequate information and assessed by a data analyst. The analyst’s job is to tell the system how it should work and, of course, to correct any errors that occur. This approach gives companies a new form of data quality and takes the leap from pure cloud storage to an open knowledge base. By building a bridge between the existing information and concrete usage scenarios, employees in the company, at distributed locations and also in the home office can benefit from this.