Harmonize your Data with Direct Data Sharing
It is a data design methodology flaw that causes digital data systems to be incompatible. The interactions between data systems were never adequately addressed in the data design phase. This design flaw is the real cause of data silos. Data systems that are incompatible cannot directly share their data with other data systems. Maxxphase Data Compatibility Standards correct the data design problem making your data systems compatible. As such, your data systems' data is integrated in-place, and your data systems are now directly interoperable. The result is a seamless Compatible Data Fabric that provides a 360ᴼ view of your data.
Today's business data ecosystem is comprised of many different types of data systems, such as databases, presentations, spreadsheets, and the like. Some data systems contain structured data, while other data systems contain semi-structured data or unstructured data. No matter what types of data are considered, all data has a master data context that encapsulates the data content. It is the compatibility of the master data context that determines when data systems can be harmonized directly. Since all master data contexts can be made compatible, all data types can be harmonized.
The Business Perspective
Data compatibility is a previously unrecognized property of digital data. Digital data that is compatible is directly interoperable and blends seamlessly. Our goal is to deliver digital data that does not require data preparation, data wrangling, data transformation, or data movement to support your informational needs. Maxxphase Data Compatibility is a revolutionary approach where entire data systems are enhanced in-place to become compatible with any other so enhanced data systems.
Conventional data systems contain conflicting or disparate master data representations that prevent direct data interoperability. Maxxphase Data Compatibility Standards are used to correct the conflicting master data for each data system. These standards establish common data interfaces for connecting data systems to seamlessly share data.
Our Data Compatibility Standards products are designed to standardize the master data context of any type of data system. When a data system's master data context is standardized, that data system is now compatible. These compatible data systems, whether structured, semi-structured, or unstructured, can be harmonized. As such, any type of compatible data systems can be directly incorporated into a single Compatible Data Fabric.
The Technical Perspective
Information technology rightfully targets master data as the culprit that isolates data systems. Master Data Management is an attempt to correct the data incompatibility between data systems, but it still fails to make data systems compatible. Conventional Master Data Management can not resolve the master data context conflicts between data systems with simple master data synchronization. Data transformation software is still required to correct the conflicts completely. Unfortunately, data transformations do not support data integration across data systems nor direct data interoperability between data systems. Therefore, the data systems are still characterized as data silos.
Maxxphase Data Compatibility is a simple enhancement to conventional Master Data Management, where Data Compatibility Standards result. These standards, when associated with a data system, standardize the data system's master data context. Data systems that all have a standardized master data context are directly interoperable. Since all types of data systems can have a standardized master data context, these different types of data systems can now be woven into the Compatible Data Fabric.
Summary
Maxxphase Data Compatibility is a comprehensive data management approach that addresses all types of data systems. As such, all types of data systems fit together to provide a 360ᴼ view of your data. Your data is efficiently harmonized in a Compatible Data Fabric without data preparation, data wrangling, data transformations, or data movement.