How does Data Compatibility support Data-Driven Insights?
Data-Driven insights are difficult to achieve because of unintended technical data-related barriers within an organization. Conventional data systems, as designed, are siloed data systems because they do not directly share their data. This inability to directly share data across data systems is a barrier to data-driven insights.
In contrast, compatible data systems are designed to directly share their data. Each compatible data system’s dataset is a plug-and-play analytics-ready module that supports direct dataset interoperability. Direct dataset interoperability is implemented using our Data Compatibility Standards products to enhance existing siloed datasets noninvasively. These enhanced dataset modules spontaneously form a Compatible Data Fabric, which is an excellent data architecture to support data-driven insights.
Maxxphase Data Compatibility Standards products eliminate technical data-related barriers by providing:
A Standardized Enterprise-Wide Data Strategy – A data strategy where each data system conforms to master data standards, so the data systems seamlessly share their data.
Proper Data Access thru a Compatible Data Fabric – A Compatible Data Fabric appears as a single consistent dataset where business users have access to all data that meet their security certificates.
A Single Version of the Truth – Data is stored once and shared throughout the Compatible Data Fabric. Data is not moved, transformed, or wrangled, and data lineage is no longer a business concern.
Data Quality Improvements thru Extended Data Integrity – Data and metadata integrity is enforced among compatible datasets to remove master data conflicts and confusion.
An Improved Understanding of the Data Content – Data Compatibility links datasets together, and the significance of data within the enterprise is immediately apparent.
Multidimensional Analytics – Compatible datasets are analytics-ready, as is the resultant Compatible Data Fabric, to support business intelligence and analytics across the enterprise.
Significantly Reduced Data Management Expenses – Data Compatibility reduces the complexity of data systems, datasets, and data architectures as well as the work and expense of their implementation and maintenance.
Summary
Conventional data systems are not designed to provide a foundation conducive to data-driven insights. Maxxphase Data Compatibility Standards simply enhance the dataset of each data system to form a compatible dataset. Compatible datasets become the modular plug-and-play components of a single analytics-ready Compatible Data Fabric. Whatever data is needed is available on-demand, in real-time, as a basis for your data-driven insights.