“Data Architecture Management” is …
… the backbone of scalable innovation.
… the key to unlocking business insights.
… where strategy meets structure.
… the bridge to seamless integration.
… essential for tomorrow’s success.
… transforming complexity into clarity.
… empowering your digital ecosystem.
Ask yourself if you can answer the following with confidence …
Can you show me an overview of the current complete system landscape?
Can you show me where specific Information is created and where it is integrated to?
What needs to happen if a specific system needs to be swapped?
Codoflow introduces a complete new methodology based on a pragmatical bottom-up approach
Our key METHOD aspects are …
“Bottom only” Design approach
Rather than analyzing business processes and the system landscape from the top down—a method that, in our experience, often leads to endless meetings—our approach is to focus on one system and its interfaces at a time.
In essence, we take a bottom-up approach, starting at the most detailed level: the data level, where comprehensive information is consistently available.
Embed Data Architecture Change Management
A key aspect of this method is the proactive monitoring of changes and the management of approval workflows, ensuring that no side effects are overlooked during architectural adjustments.
This approach minimizes the risk of data corruption and interface disruptions, delivering an unprecedented level of reliability for data and integration processes.
Want to know more?
Codoflow key features are …
True Bottom-Up Support
Designed to optimally support the methodology, Codoflow requires active architectural design efforts solely at the lowest level—the Object Attribute layer. All other elements are automatically generated to align with the specific use case in the most effective way.
For instance, system landscapes are not manually constructed but are instead derived from the system and interface information at the lower levels. And that is just one of many benefits of that approach.
Realtime Collaboration
Data Architecture Management is often seen as a documentation task aimed at keeping the landscape’s data set up to date. Our approach, however, focuses on creating a framework and process for actively designing and managing the data architecture.
Real-time collaboration is a cornerstone of this approach, which is why Codoflow is built around this concept.