Most data lives in silos: functional, technological, or departmental. Critical data needed by your decision makers is often locked in functional applications with proprietary reporting platforms. Enterprise data warehouse projects try to bridge these barriers, but they have slow time to value and high maintenance costs. In today’s constantly evolving environment, many organizations have multiple, competing data warehouse investments. None of them complete. None of them authoritative.
Adding new big data initiatives and data lakes only heightens the fragmentation and isolation.
These siloed solutions never satisfy the long-term requirements of organizations' data management plans or user needs. Far worse, they make collaboration and decision-making difficult and often leave out critical factors because the complementary data is behind an arbitrary wall in another system.