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Data Sharing Examples
As explained earlier, the portion of data that exists outside an enterprise will grow exponentially. Whether from IoT data or from any other form of external data, when combined with an organization’s own internal data, insights never before possible will reveal themselves.
Here are just a few of the new business opportunities that modern cloud data sharing makes possible:
» Data sharing to eliminate data silos: Develop a single source of truth for all your internal data and sharing it among thousands of data consumers across hundreds of business units within a single enterprise.
» Data sharing for business efficiencies: Share live data with your business partners to optimize costs, streamline operations, and provide superior customer service.
» Data sharing as a product: Provide live and direct access to slices of your data as a monetized service so your data consumers can enrich their own existing data.
» Data sharing as a product differentiator: Software-as-a- service (SaaS) providers can offer direct access to the petabytes of data generated from their business-to-business (B2B) subscribers’ activity. Those subscribers can then perform deeper analysis on more of their data — analysis that was previously unavailable to them.
Capitalizing on these opportunities requires data sharing capabilities with uncommon speed, power, security, governance, and simplicity. These capabilities are not available with tradi- tional data sharing methods.
How Organizations Share Data
Traditional approaches require laborious efforts to stitch together a patchwork of disparate tasks to share and move data. These processes are costly, create manual overhead, and limit how much data an organization can actually share:
» Email: A data file is emailed from provider to consumer.
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