What is data interoperability?

Achieving data interoperability allows an organization to maximize value from its data and overcome the significant challenges posed by distributed data assets.

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.

Unfortunately, standardized data is lacking and the data assets of many companies are often found across a number of on-premises, private cloud, or open cloud locations. Not only is data consolidation a very time-consuming process that requires considerable expertise, it can also be a financial impossibility due to huge capital or ongoing costs.

When an organization can use its data in all analytical situations and across all departments it maximizes the data’s business value. It also lets them overcome a number of information challenges, including more defined data access and governance of their various data formats and sources.