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Fixing Your IT Data Mess Once and for All

0 March 5, 2019

Convert Your Data Silos to Data Sharing Systems

Compartmentalized data is a hindrance to a business’s day-to-day operations. This hindrance is caused by a data mess that starts with operational data systems that do not freely share their data. The business disruption caused by isolated operational data is then compounded by the data integration hairball. This data integration hairball is composed of complex hand-crafted data duplication and transformation software that mires your data infrastructure by forcefully binding together incompatible data systems. So much for your business agility! This data mess is very inefficient, expensive and in no way can it keep up with the rapidly changing data needs of modern businesses.

The IT data mess is caused by data design methods that focus upon the efficient storage and retrieval of data but does not address data sharing. In fact, data sharing across data systems is not even a design consideration in traditional data modeling methods. Therefore, data systems, as designed, are best characterized as data silos. These data silos are the foundation of the IT data mess. This disconnect between the needs for data sharing of modern business and the limited functionality of data silo’s is the point of origin for most of IT’s data problems! No one is suggesting that we need more data silos, yet that is what is being designed with every new or upgraded data system.

Maxxphase Data Compatibility Standards is the product that puts an end to data silo’s and fixes your disparate data at its source. Maxxphase’s innovative design-based approach, converts data silos into directly interoperable data systems. Any combination of directly interoperable data systems may now dynamically form a single virtual data system that allows for unfettered, real time sharing of information throughout organizations, among organizations, or across an industry.

Compatible data is integrated data that eliminates the need for the data integration hairball. Because the data is made sharable at its source there is no longer a need for expensive data transformation software. Data compatibility is very efficient, inexpensive and unlimited in scope. Data compatibility is clean, fast, simple and powerful enough to stay ahead of modern business changing data needs.

Business data needs have outgrown traditional data modeling. Fixing the IT data mess begins with fixing the data design methods that always form data silos. Learn more about the updated data modeling methods needed to design directly interoperable data systems that seamlessly collaborate to provide whatever data and information may be required by your organization.

Traditional data models always form data silos. To fix your data models requires an enhancement to traditional data models. For more detailed information request our “Data Design needs an Upgrade” whitepaper by clicking below.

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