Issue: Data Silos and Hundreds of Software Systems
Every large corporation nowadays suffers from too many poorly interconnected IT systems, databases, and platforms.
Even from the end-user perspective, this situation is quite stressful and energy-consuming. But if we look at it holistically, we’ll see large business performances considerably impacted by these dozens or even hundreds of platforms and systems with their respective databases.
Lack of interoperability is the most apparent issue. Still, there is another one behind it: data silos, multiple copies of similar data without clear understanding which version is the most recent.
This data silos automatically implies that there is no control over data quality and that your technical teams spend lots of effort to interconnect all these often almost incompatible systems and to coordinate their incoherent ontologies. Last but not least, it negatively affects data transmission outside the company, including both communications with its clients and all interactions with its suppliers and contractors.
All these issues constantly keep too many human resources busy, consume too much energy, and result in underperformance of the whole business
Connecting platforms with APIs: Inefficient Problem Solving
The aforementioned problems have been a headache for a few generations of system administrators and software engineers. Hundreds of “quick API integration” startups and millions lines of custom code later, perfect compatibility of multiple applications and databases is still a dream: links amongst them remain unstable, every change in each of them might require some adjustments in APIs, scripts, other databases, etc.
Basically, despite all these continuous efforts (including international initiatives and standards, such as IDS or Gaia-X), different systems – especially when there are hundreds of them – don’t really understand each other, and the case seems to be hopeless.
It is hopeless because an interconnection (even with a standard API like IDS suggests) may help to solve only one issue: it will open information flow from one system to another. But it will not even try to resolve the remaining problems:
Web 3.0 Data Space: A Fully Decentralized Alternative
And yet we believe that the ultimate solution exists. Instead of connecting platforms with APIs our Web 3.0 Data Space architecture allows every software system to interact with the same original data, stored separately for every subject or object (and not for each software system).
Corporate data doesn’t have to fit Procrustean beds of a multitude of different databases. Instead, it can be stored in a universal and fully machine-readable Linked Data format on separate secure virtual servers – we call them PODs – for each object you interact with. Each machine or piece of equipment you use, each client or contractor you are connected with, can have such a POD with every single piece of data related to them stored there.
As a result, the Web 3.0 Data Space addresses all issues mentioned above and brings numerous benefits which we have never dreamed of:
New Era of Enterprise Data Management
Our Web 3.0 Data Space approach brings enterprise IT systems to the new era by transforming the very way people and machines interact with data.
Things impossible yesterday despite all the IoT development, now become real through our solutions: