Current datasets used in business do not freely interact and are therefore data silos. Siloed datasets have hindered business and IT for over three decades. Conversely, our universally interoperable datasets enable seamless interaction across enterprises, industries, and on a global scale as required. Our Universal Dataset Interoperability provides the data solution that IT departments, businesses, and industries have long sought. In theory, you can enrich all datasets to be universally interoperable.
Universal Dataset Interoperability ensures that all datasets are implemented to work together seamlessly, facilitating data unity, sharing, and collaboration across various platforms and systems.
These universally interoperable datasets are:
Our independent research indicates that the secret to Universal Dataset Interoperability lies in the data context of each dataset. The data context of a dataset refers to the shell of master data that encapsulates each dataset. Siloed datasets, due to their inconsistent data contexts, lack the data integrity necessary for interoperability. Conversely, compatible datasets reside within a universal dataset context that ensures data integrity, thereby facilitating interactions between compatible datasets. All compatible datasets interact repeatedly and reliably through their universal data contexts. These compatible datasets are meticulously crafted to be analytics-ready, modular, plug-and-play datasets. Our compatible datasets are a clear game-changer for business and IT.
Typical data architectures are based on siloed datasets. These disparate data architectures are fragmented, disjointed and filled with redundant data of poor quality that lack data integrity. Conversely, our universally interoperable datasets offer unlimited potential for compatible data architectures, wherein all compatible datasets collaborate seamlessly to meet any data requirements.
In Figure 1, we illustrate a distributed data fabric architecture designed specifically to support modern technologies, such as AI/ML and Knowledge Graph. We create all the datasets in our Distributed Golden Data Fabric to be universally interoperable and analytics-ready. Additionally, we incorporate domain-specific master data golden record modules into the fabric, as depicted in Figure 1. With the implementation of Compatible Golden Records, we substantially enhance the quality of data shared across the fabric. We can combine selected compatible plug-and-play datasets of the fabric, either dynamically or physically materialized, to fulfill specific use case needs. We illustrate materialized compatible datasets in the Compatible Use Case Sandbox of Figure 1.
Figure 1: Maxxphase’s Distributed Data Fabric Architecture with Golden Data Records Modules
Compatible data fabrics are also universally interoperable, allowing datasets to be combined across fabrics, provided the proper hardware connections and security permissions have been established.
Universally interoperable datasets establish a contemporary data foundation that revolutionizes both IT and business. Easy and low cost of development, flexibility, reliability, scalability, and time to market all favor universal interoperability over conventional data integration methods. Use cases that are not possible or even practical for data integration methods are easily achieved with universal interoperability. The universal interoperability of datasets now enables use cases for intricate industries, such as supply chain management and healthcare, by ensuring seamless interoperability and functionality across diverse datasets and data fabrics.
Maxxphase is the sole provider of our patented, universally interoperable datasets and distributed data fabrics. For inquiries, comments, or to discuss use cases, please don’t hesitate to contact us.