Why is Data Integration by Design so different from other data integration methods?

Our interest is in developing an integrated data architecture standard where any data system may be added to a network of integrated data systems and function in integrated harmony with these data systems.  This vision is analogous to integrating a new computer into a technical architecture.  When a new computer is added to an existing technical architecture, it may interface directly with any other computer or devices, such as a printer, on the network. The new computer interacts directly with other computers and devices without special programming because of established technical architecture integration standards.  Current disparate data architectures are clearly inadequate to support this type of data integration functionality.  Most disparate data architectures are ridiculously complex, expensive to construct and maintain, and inadequate in supporting business agility.

Disparate data architectures are designed using a bottom-up design approach.  That is, disparate data architecture components, such as disparate operational data systems, and disparate data warehouse systems, are combined to form a data architecture.  Since only disparate data architecture components were available, a bottom-up design approach is clearly not conducive to the design of integrated data architectures.  Therefore, a top-down design approach appeared to be the proper alternative for designing our integrated data architecture components.

In a top-down design approach, a representation of the ideal integrated data architecture must first be formulated.  This ideal integrated data architecture is the data universe or the totality of data and of metadata.  Deductive reasoning is applied against this data universe to discern the Universal Data Architecture Standards for our integrated data architecture.  From the Universal Data Architecture Standards, integrated data architecture components are then designed and implemented.   Ten Universal Data Architecture Standards have been deduced to date.  Some of the Universal Data Architecture Standards are:

1. There is one and only one universe of data
   
2. It is the natural state of data to exist as an integrated data set; not as islands of disparate data or as information silos
   
3. The data universe is finite and as such has a specific, unchanging boundary of data elements
   

These Universal Data Architecture Standards, along with the others, resulted in Integrated Data Modeling and the concept of data model integration as the precursor to integrated databases.  Additionally, these Universal Data Architecture Standards were used to define the integrated data architecture that incorporates the conversion of disparate data systems into integrated data systems and the design of integrated data architecture components, such as integrated master data management, integrated data warehouses and integrated data federation.

The foundation of our patented Data Integration by Design methods is based upon the Universal Architecture Standards.  We alone are able to offer training for the Data Integration by Design methods, the Universal Data Architecture Standards, the Integrated Data Architecture, Integrated Data Modeling, and the Data Reintegration Methodology.  Contact us today!

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