Compatible Data Design:
Integrated Data Models for the 21st Century

Traditional data modeling methods always design and implement disparate data silos. Compatible Data Modeling methods design and implement compatible data systems that are integrated and directly interoperable. These compatible data systems are plug and play components that spontaneously combine into an analytics-ready data fabric.

Compatible data systems begin with compatible data models!

Data Modeling

Traditional data modeling methods are flawed. The data models produced always instantiate data systems best characterized as data silos. Every data system instantiated from a traditional data model does not interact directly with other data systems. There are no data access paths formed among data systems, and data integrity is not enforced among these disparate data systems.

Compatible Data Modeling is a relatively straightforward enhancement of traditional data modeling. This data modeling enhancement results in:

  • Logical data models that can be integrated
  • Logical data models that contain Data Compatibility Standards
  • Physical data models that can be integrated
  • Physical data models designed to instantiate compatible data systems

Compatible data models contain the metadata for Data Compatibility Standards. These standards are designed to form reliable data access paths among the data systems instantiated from the compatible data models. These reliable data access paths support direct data system interoperability and integrate data across data systems.

Why Compatible
Data Modeling?

Maxxphase Data Compatibility is a foundational change for the IT industry and for business data. Compatible Data Modeling is used to design and implement a foundation of compatible data systems. By contrast, traditional data modeling implements a data siloed-based foundation of compartmentalized data, which has long been recognized as a hindrance to businesses.

Compatible Data Modeling results in data models that are integrated. When metadata representing Data Compatibility Standards are included in each data model, these standards provide the metadata commonality required to integrate multiple data models into one consolidated data model. When data systems are instantiated from one or more compatible data models, the data systems are compatible. These compatible data systems are directly interoperable and fit together like the pieces of a jigsaw puzzle. From the business point of view, all data and information are completely accessible from the lowest level business transactions to the highest-level data on the CEO dashboard.

Data compatibility services