This is an IBM Automation portal for Cloud Management and AIOps products. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).
Shape the future of IBM!
We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
Search existing ideas
Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updateson them if they matter to you. If you can't find what you are looking for,
Post your ideas
Post an idea.
Get feedback from the IBM team and other customers to refine your idea.
Follow the idea through the IBM Ideas process.
Please use the following category to raise ideas for these offerings for all environments (traditional on-premises, containers, cloud):
Cloud Pak for Multicloud Management
Cloud Pak for Network Automation - including Orchestration and Performance Management
Cloud Pak for Watson AIOps - including Netcool Operations Management portfolio
Edge Application Manager
IBM Observability with Instana
IBM Turbonomic ARM
ITM-APM Products - including IBM Tivoli Monitoring v6 and Application Performance Monitoring v8
Workload Automation - including Workload Scheduler
Tivoli System Automation - including Tivoli System Automation Application Manager (SA AM), Tivoli System Automation for Multiplatforms (SA MP)
ANZ has installed both Turbonomics and Cloud Pak for Data for different purposes
Turbonomic's takes a number of data feeds from multiple IT Systems (e.g. vCentre, HyperV, HP Open View, Storage, OpenShift, Splunk and ServiceNow etc) providing analytics and decision-making for IT Operations
Cloud Pak 4 Data for Data Governance and Quality – takes multiple feeds from a datalake and other sources.
ANZ Bank aim to be using it as a Data Fabric to accelerate its data profiling, data quality, and data governance to help uplift the ServiceNow CMDB
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