Achieving data interoperability allows an organization to maximize value from its data and overcome the significant challenges posed by distributed data assets.
Creating a virtualized interoperable layer can create a common denominator for data usage.
While big data has been celebrated as a gamechanger for operational efficiency and business intelligence, large-scale data collection, storage, and analysis can be fraught with issues. Most organizations have diverse data assets, distributed across multiple data layers, on-premises data warehouses, or within multiple cloud services.
Gaining analytical or actionable data insights can be hampered by the fragmented nature of data storage. This can have a number of negative outcomes.
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