Finally, a Practical Data Integration Solution
The data integration problem reveals itself when data from two or more data systems is required to support some business needs. The root cause of the data integration problem is the lack of designed data compatibility between data systems. Established data modeling methods function very well for designing individual data systems, however, these established data modeling methods were never engineered to form multiple data systems that are completely compatible. In fact, established data modeling methods do not even address most of the variables needed to support data integration across any set of databases.
Whether a set of databases is designed using a set of data models or a single enterprise-wide data model, each and every database formed is an information silo and a data integration nightmare in waiting. Attempts to remediate the data incompatibility across a set of information silos by using ETL type data transformations, are very tedious, very expensive, and results in additional unnecessary data architectural complexity often referred to as the “integration hairball”.
Our patented Data Integration by Design methods provides the “silver bullet” for data integration! We enhanced the established data modeling methods to design integrated data models that address all variables needed to support data integration. A set of integrated databases that are instantiated from one or more integrated data models are completely compatible. So if data integration headaches are a problem you don’t need or if your data integration efforts are busting your budget, you need to take a serious look at our Data Integration by Design methods.
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