Today, many businesses have an adverse view of data architecture projects because past data architecture projects have failed, causing the organization to view them as costly with undetermined value.
One of the main reasons data architecture projects fail is a lack of research into what the organizations need precisely or even the time spent identifying potential risks ahead of implementation.
Another problem implementing a new data architecture is that because the benefits spread across different areas within an organization's information management practice, not all can see where it has had any effect or understand its value.
Modern data environments are anchored in fit-for-purpose data architectures in tomorrow's insights-driven enterprises. These new systems have a larger purpose than simply providing operational BI (business intelligence) as they now focus on untapped big-data to provide game-changing information.