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What is the best approach to creating an enterprise data model?

why you need a strategy

Back in the 1990s and into the 2000s, everyone was worried about Y2K, the infamous year 2000 bug that was going to stop the world in its tracks. Because most legacy systems were written with a two digit indicator of year, the thinking was when we flipped over to 2000, the “00” in code would cause all kinds of systems to stop functioning. This gave rise to enterprise resource applications (ERP) led by the likes of SAP, Oracle, PeopleSoft, JD Edwards and Lawson. These enterprise applications were built on their own data model and offered end to end functionality. An enterprise data model was not necessary.

Over the last 25 years, we have seen the proliferation of point solutions across the enterprise. eCommerce, Time Entry, Warehouse Management and many others expanded across our businesses creating islands of technology and data. Thus, the need for a data strategy.
There are many tools and technologies that enable this type of software solution. We have experience with integration architecture, data lakes and tools that enable data interoperability across the enterprise.

Give us a call or explore our website at www.pri.solutions.com to see how we can deliver this kind of software outsource project for you.

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