Have you seen real estate listings that describe a
house as architect-designed? It adds a lot to the asking price, but
aren't all houses designed by architects? Most are, but they're then
rather generically churned out by a construction company. If your house
counts as architecture, though, someone designed it for specific needs
and tastes.

In the same way, your organization stands to benefit
when your data architecture is put together based on your particular
data management and analytics needs. But often, we inherit many of the
generic components and integrations from the product designs of our
technology vendors. If we've customized some of the structure of data
architecture, that may have happened ad hoc, over a long time.

Within a successful data architecture, a conceptual design based on the
business process is the most crucial ingredient, followed by a logical
design that emphasizes consistency, integrity, and efficiency across all
the databases and data pipelines. Once the data architecture is
established, the organization can see what data resides where and ensure
that the data is secured, stored efficiently, and processed accurately.
Also, when one database or a component is changed, the data
architecture can allow the organization to assess the impact quickly and
guides all relevant teams on the designs and implementations. Lastly,
the data architecture is a live document of the enterprise systems,
which is guaranteed to be up-to-date and gives a clear end-to-end
picture. In summary, a holistic data architecture that reflects the
end-to-end business process and operations is essential for a company to
advance quickly and efficiently while undergoing significant changes
such as acquisitions, digital transformation, or migration to the
next-gen platform.

Derek Doel
https://www.linkedin.com/in/derekdoel/

The Data Standard
https://datastandard.io/
https://www.linkedin.com/company/the-data-standard/
https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q