A Game-Changing Compatible Data Foundation for Business

0 February 28, 2024

The Siloed Data Foundation

 
Ever since the dawn of digital data, datasets have been disparate – unable to interact with other datasets directly. We often characterize these disparate datasets as siloed datasets because they lack direct dataset interoperability. Organizations have used a wide variety of data management methods in their attempts to correct the siloes dataset effects. The most popular solution has been to consolidate disparate datasets. However, businesses realize that data integration of disparate datasets is very complex, expensive, takes an inordinate amount of time, and is often not a trusted solution. In any event, the shortcomings of the disparate data foundation are a well-known hindrance to businesses.

We believe that disparate data foundations for IT will soon become obsolete. The volume and variety of data have increased dramatically, and IT has struggled to keep pace with evolving business needs. Compounded by the emergence of newer technologies such as AI/ML, a digital data foundation based on direct dataset interoperability is more essential than ever.
 

The Compatible Data Foundation

We are excited to introduce a directly interoperable data foundation that is more in tune with modern business needs. Directly interoperable datasets provide a seamless foundation of distributed datasets that collectively function in a manner indistinguishable from a single consistent dataset. We characterize the resultant data foundation as a modular plug-and-play data fabric that is analytics-ready. Each compatible dataset is a plug-and-play component of the data fabric proactively designed to provide all the data functionality needed by modern businesses.

The compatible data foundation has several important advantages over any disparate data foundation. First, data integration projects are no longer needed as direct dataset interoperability efficiently replaces cumbersome data integration. Secondly, direct interoperability provides end-to-end data integrity across datasets that is woefully missing from any disparate data foundation. This data integrity across datasets improves your data quality, accuracy, and trust in your data results. Thirdly, compatible datasets require far less work to develop and maintain. Compatible datasets provide a highly reusable dataset interface for great dataset scalability where the amount of work effort remains constant as the number of datasets increases. From a business intelligence and analytics perspective, compatible datasets support slice and dice with roll-up and drill-down dataset functionality. So, with all typical data warehouse functionality and direct dataset interoperability, any compatible datasets can be data blended on demand eliminating the need for cumbersome conventional data warehouse projects.
 

The Transition

The transition from a disparate data foundation to a compatible data foundation requires minimal investment as disparate datasets are made compatible by the noninvasive addition of our patented Data Compatibility Standards. These standards can be independently retrofitted to any dataset.
 

If your data is a mess, or the volume of data is too great to handle or too costly, or if you need a directly interoperable data foundation with high-quality and accurate data to support advanced technologies like AI/ML, the compatible data foundation is the only logical solution.