No One Wants More Data Silos
Today’s digital data is disparate and compartmentalized in data systems best characterized as data silos. Data silos are defined as data systems efficient at storing and retrieving data, but that do not directly share their data with other data systems. Data silos have been a recognized hindrance to both IT and business for at least three decades.
Next-generation data systems result from a relatively simple enhancement to siloed data systems. This enhancement makes data systems compatible. Compatible data systems are plug-and-play modular data systems that are integrated, directly interoperable, and analytics-ready. Any compatible data systems can be directly harmonized on-demand without data transformations, preparation, or wrangling. A set of compatible data systems is best characterized as a Compatible Data fabric.
The Business Perspective
The next-generation data systems, compatible data systems, are designed to work together. Each compatible data system is a plug-and-play module that is directly interoperable with other compatible data systems. As a result, any group of compatible data systems appears to function as a single data system or a single Compatible Data Fabric.
Since data is integrated across compatible data systems, it can be retrieved from any number of compatible data systems whenever needed and without IT involvement. Compatible data is stored once and shared with any other compatible data systems. Since data integrity is also enforced across compatible data systems, there is no longer a reason to question the validity of the data nor its lineage.
Compatible data systems remove the barriers that exist between siloed data systems. Overall, IT becomes far more efficient, and your entire business can become data-driven with this transformation from siloed data to compatible data.
The Technical Perspective
All data systems that do not directly share their data are best characterized as data silos. Data silos can not directly share their data because they lack the required master data and metadata commonality. Maxxphase Data Compatibility Standards are data products added to noninvasively enhance siloed data systems. Maxxphase Data Compatibility Standards add the required master data and metadata commonality to make data systems seamlessly share their data directly.
The Data Compatibility Standards form the dataset of each data system into a modular compatible dataset. These standards encapsulate each dataset in standardized master data and metadata to create reusable dataset modules. By using our patented methods, master data integrity is now enforced among all compatible datasets. These modular compatible datasets become directly interoperable as multiple data access paths are formed on-demand among these datasets. In essence, each compatible dataset module becomes a federated extension of every other compatible dataset. Each modular dataset becomes a plug-and-play component that can be temporarily harmonized with other modular components on-demand. The result is best characterized as a Compatible Data Fabric – a single, seamless, consistent dataset formed from multiple physical data systems.
Summary
The next generation of digital data needs to share data seamlessly across data systems directly. Compatible data is integrated data, so all your data fits together like the pieces of a jigsaw puzzle. The result is best characterized as a Compatible Data Fabric that provides a 360ᴼ view of all your data.