… not only for toilet paper
Interoperability
Always use and manage data the same way, even in different standards
Over the years your data structures have grown. And you have very individual requirements that must be met. Now new requirements arise and you have to exchange data in a very specific standard, such as XRechnung, ZUGFeRD, GS1, VDA, WCO or UN/CEFACT.
We help you to successfully map your requirements and easily identify gaps.
Immediately available international standards from GEFEG provide the basis for more interoperability and better quality in your company data for the electronic global supply chain.
Collaboration
Simply implement or develop standards together.
Whether at global level, national level, in your own industry or in your own company: New requirements, standards and application recommendations are emerging constantly and everywhere.
A uniform working environment is essential, especially when standards are being developed across companies. It must be ensured that the required expertise can be easily brought in. At the same time, however, the requirements of existing systems must also be taken into account. In addition, it is sometimes necessary to adapt the (industry) standard to your own requirements.
Collaboration means for us to be able to do exactly that. Collaboration within or between organisations is supported, even across sectors and countries.
Data Harmonisation
Clearly define and reuse data structures.
Despite sophisticated standards, the integration of new partners is still costly and error-prone. Standards are interpreted and implemented differently.
Often even departments within the same company do not have the same terms for the same term. For example, what is the estimated time of arrival (ETA)? Is it the time when the delivery passes the factory gate or when the delivery arrives at the receiving warehouse? There could be 60 minutes between those places – which would be really problematic with Just-In-Time delivery … If organisations with different national languages work together, it may become even more difficult.
Harmonisation begins with the creation of a uniform, common understanding. Whether it is a simple glossary or the harmonisation of entire data structures up to processes in the value chain: Based on uniform semantics, systems can exchange data more easily and reuse data structures.
Data Governance
Ensure compliance with applicable rules and design interfaces flexibly yet at the same time.
Rules are everywhere. And rules are becoming increasingly important. Whether they are rules for the correct taxation of an invoice, the determination of the net wage or the customs regulations for import and export. But rules are also applied in companies about how systems should communicate with each other. So it’s stupid if the rules and regulations impede implementation instead of supporting it.
The subject of maintenance also plays an important role. For example, in a complex system of applications, how can it be easily recognised what effects a rule change has? And how can this be implemented transparently?
By Convenient Data Governance we understand the approach that on the one hand rules can be clearly defined by the persons responsible. On the other hand, the business users and the implementers should be able to develop freely within the set of rules without having to constantly check the rules themselves. For example, the rules are applied in the respective context of the department or organisation.
Quality Management
Ensure valid data structures as early as during development.
Hardly anything is more expensive than changing essential data structures in an existing system. And how do you deal with the fact that new requirements are added very late in a project or that they only arise during the test phase?
Or how can it be ensured that appropriate documentation is produced – for the experts, for developers and for the users’ experts? How do you deal with different versions and how can you use the knowledge gained efficiently? And how can the developer and the user be supported in implementing the requirements in a high-quality manner?
If such issues are taken into account already during the development and implementation phase, immense cost and efficiency gains can be achieved. Target group-oriented, even multilingual documentation at the push of a button supports quality management. Users and business partners are supported in the onboarding process. Validation portals ensure that the data structures are validly implemented already at design time.
Curious?
Please contact us or have us call you back.
We look forward to seeing you!