Expecting to find the Gartner® Research: “Follow Oil and Gas Digitalization Best Practices to Drive Digital Value at Scale”? This report is no longer available. Instead, we are offering the latest from Gartner® Research: “Get Ready For Data Management at the Edge: Key Considerations and Actions”
Data volume and diversity are on the rise, with IoT devices driving this data influx within manufacturing.
“This is where edge computing comes in, supporting the demand for computing environments residing closer to assets in the physical world and outside IT’s typical purview, with the goal of enabling distributed, local data and analytics capabilities.”*
Edge computing presents immense opportunities to manufacturers of all sizes. But for companies looking to add more Edge devices into their architecture, the shift away from centralized Cloud data centers can generate more questions than answers.
The right strategies and planning can ensure that Edge solutions are successfully implemented and yield a positive ROI. We believe that this research from Gartner can help IT and Data and Analytics leaders build successful Edge strategies.
In the latest research by Gartner®, “Get Ready for Data Management at the Edge: Key Considerations and Actions,” we believe IT and Data and Analytics leaders will learn how to:
- effectively plan and strategize for successful Edge computing solutions
- balance Cloud/data center requirements with Edge environments
- minimize risk and improve governance in Edge environments
To read this report from Gartner®, please fill out the form.
*Gartner, Get Ready For Data Management at the Edge: Key Considerations and Actions, Ted Friedman, 24 September 2021
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Self-service analytics removes the data literacy barrier, helping process and subject matter experts, executives, and the shop-floor alike use real insights to improve what is happening within the factory.
In this ebook, you’ll learn more about self-service Edge analytics strategies that bring new insights and cost savings that ensure ROI.
Edge solutions enable your teams to process data off your line and immediately put it to use. This low latency data helps your shop floor better adapt its strategies on the fly.
Applications designed for Edge data give your teams real-time snapshots of what is happening.
If you have Edge data, you need Edge analytics. It’s no longer enough to collect data: you must find diverse use cases and examples for Edge analytics across your manufacturing organization.
Explore some key Edge analytics use cases in CPG, Paper and Packaging, and Beverage production.