Proper data management — with clean, consistent data that can be accessed and shared across business systems — is key to a successful Internet of Things framework.
For many companies, especially those with large databases or data warehouses, data management (including definitions, classifications, and integrity) is often reduced over time after an initial data project is under way. This can create significantly more complex challenges and requires more powerful data cleansing, filtering, and analysis tools to convert data into useful information.
Industrial IoT could generate more than $3 trillion for the global economy, thanks to about 50 billion devices that will be deployed by 2020, estimates McKinsey & Co.
Data management for manufacturing
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