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IBM@AtkinsRealis

IBM at AtkinsRealis: Analytics Hosting

AtkinsRealis, an industrials organization in Canada, uses IBM webMethods from IBM to support data platform operations for data engineers.

IBM webMethods sits in the daily path at AtkinsRealis, especially for data engineers.

“From Canada, industrials teams still had to serve customers and internal partners who expected a straight answer.”
“IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
ProductivityHandoffs in data platform operations sit in a shared queue instead of a mailbox trail
Risk and complianceIBM webMethods is the governed place data engineers use for data platform operations
CapabilityNew joiners can see how data platform operations actually runs

Story

AtkinsRealis grew analytics hosting faster than the local tools around it. From Canada, industrials teams still had to serve customers and internal partners who expected a straight answer. Data engineers were the ones stitching the picture together by hand.

Rolling out IBM webMethods put data platform operations on IBM. IBM offers hybrid cloud, AI, and automation software, including watsonx, Red Hat OpenShift, and observability products for large enterprises. AtkinsRealis keeps the product in the path where work already happens, so data engineers do not context-switch into a graveyard system used only for audits.

The visible result is steadier data platform operations. Analytics hosting is easier to inspect, and adjacent groups can join data engineers without a guided tour of someone's desktop.

Value Graph

AtkinsRealis uses IBM, Genesys, Zendesk, Zoom, Autodesk, Cloudflare, monday.com, Qlik, OpenText, Teradata. Shared with ABB, ETAS, Flowpay, Hellmann Worldwide Logistics, Infosys Finnacle. Industry: Industrials. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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