Traditional Data Modeling
Conventional data modeling methods do not address designing datasets that are directly interoperable. As such, when conventional data models are instantiated, the resulting datasets are always disparate. These disparate datasets are often characterized as data silos because they lack the ability to share their data without data transformations. Maxxphase developed Compatible Data Modeling to fix this data modeling problem.
Compatible Data Modeling
When datasets are instantiated from compatible data models, these datasets are compatible modular plug-and-play. Compatible datasets can be blended on demand to provide whatever data and information is required.
In Conclusion . . .
Conventional Data Models and their design methods can only create disparate siloed datasets. Since siloed datasets are a recognized hindrance to IT and business, we recommend that disparate data modeling be replaced with Compatible Data Modeling as soon as possible.