Industry
Consumer Discretionary
All Consumer Discretionary customer value stories (1465)
Zoom@
Fanatics Holdings
Fanatics Holdings folded Zoom Meetings into documentation so specialists and new hires share one view of institutional knowledge.
AWS@
Fast Retailing
Teams at Fast Retailing moved workload migration onto AWS after local tools started to collide.
Datadog@
Fast Retailing
Fast Retailing folded Bits AI into detection engineering so detection engineers share one view of security telemetry.
Infor@
Fast Retailing
When financial close outgrew homegrown tracking, Fast Retailing brought in Infor.
Cisco@
Fast Retailing
Fast Retailing standardized edge delivery on Cisco instead of keeping parallel copies.
CrowdStrike@
Fast Retailing
Fast Retailing standardized inbound threat mail on CrowdStrike instead of keeping parallel copies.
OpenAI@
Fast Retailing
Ops and platform teams at Fast Retailing review task agents in Assistants API rather than in personal files.
Intuit@
Fast Retailing
Fast Retailing folded Credit Karma into planning and forecasting so FP&A share one view of financial planning.
Appian@
Fast Retailing
In Japan, Fast Retailing relies on Appian for shared services.
Ansys@
Ferrari
When product design outgrew homegrown tracking, Ferrari brought in Ansys.
Red Hat@
Ferrari
Ferrari runs applied AI delivery on Red Hat so ownership is obvious when work stalls.
DocuSign@
Ferrari
Ferrari folded Notary into program management so project and operations leads share one view of cross-team delivery.
Shopify@
Ferrari
In Italy, Ferrari relies on Shopify for omnichannel retail.
AWS@
Ferrari
AWS Lambda became the place Ferrari uses to keep critical services recoverable across regions instead of a single room of servers.
Coupa@
Ferrari
Ferrari standardized financial close on Coupa instead of keeping parallel copies.
SentinelOne@
Ferrari
Ferrari folded Singularity XDR into security operations so SOC analysts share one view of endpoint detection.
OpenText@
Flight Centre
Specialists and new hires at Flight Centre review institutional knowledge in IT Operations rather than in personal files.
MongoDB@
Flight Centre
Flight Centre folded Atlas Stream Processing into applied machine learning so data scientists and ML engineers share one view of feature pipelines.
Sage@
Flight Centre
Flight Centre asked for a cleaner operating picture of supply and production planning. Sage is what they run.
NVIDIA@
Flight Centre
Flight Centre asked for a cleaner operating picture of internal knowledge work. NVIDIA is what they run.
HashiCorp@
Flight Centre
Flight Centre runs environment provisioning on HashiCorp so ownership is obvious when work stalls.
SAP@
Flight Centre
SAP SuccessFactors sits in the daily path at Flight Centre, especially for procurement and AP.
Red Hat@
Flight Centre
Red Hat is how Flight Centre keeps workload migration visible to people who have to act on it.
Akamai@
Floor and Decor
In the United States, Floor and Decor relies on Akamai for network operations.