Maxxphase Data Compatibility is a very innovative and different approach to designing and utilizing digital data that vastly improves the business use of data, information, and knowledge. Prior digital data approaches form siloed datasets that isolate the data and have been a recognized hindrance to IT and business for over three decades. Our patented Data Compatibility Methods seamlessly link datasets on-demand, providing organizations with a 360ᴼ view of all their data!

We have proven that disparate data systems and their datasets are merely incomplete as designed. They lack the master metadata and data commonality needed to make datasets compatible. Adding Maxxphase Data Compatibility Standards to any dataset completes the dataset and makes it compatible with any other so enhanced datasets.

The data from compatible datasets fit together like the pieces of a jigsaw puzzle. Any compatible datasets from any data source can be harmonized on-demand to form a comprehensive, seamless virtual dataset. Data compatibility is highly scaleable and gives IT and businesses great agility instantly and efficiently.

Disparate Data vs. Compatible Data

What is compatible data? Compatible data is metadata and data content that is consistent across datasets. The following depiction compares disparate data to compatible data for the address master data domain. In each case, address data is shown from three different datasets. The challenge is to determine which address data records represent the same physical address.

Without data transformations, preparations, or wrangling, a computer cannot calculate which disparate address data records represent the same addresses. In contrast, a computer can rapidly and reliably calculate which data records are related when the data is compatible. As such, compatible data is easy to join across datasets. The compatible datasets are data integrated and directly interoperable because of the direct dataset joins.

Data Compatibility Features and Benefits (Click links for details):

An enhanced data modeling methodology - Integrated Data Modeling

A scalable and more efficient method of Data Integration – Standards-Based Data Integration

A new approach to share data across data sources without data transformations – Direct Dataset Interoperability

A standard interface for linking compatible data systems – Modular Plug-and-Play Datasets

An on-demand plug-and-play business intelligence environment – Compatible Business Intelligence and Analytics

The Next-Generation Data Architecture – The Compatible Data Fabric

Begin your data compatibility journey today!