Skip to Main Content
IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. 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 updates on them if they matter to you. If you can't find what you are looking for,


Post your ideas

Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,

  1. Post an idea

  2. Upvote ideas that matter most to you

  3. Get feedback from the IBM team to refine your idea


Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com


ADD A NEW IDEA

All ideas

Showing 15137 of 15137

Automated Reference Data Synchronization with Datalake HIVE Tables

Problem Statement: Currently, synchronizing Reference Data with Datalake and accessible from Hive Tables is a manual process involving data export from IKC and manual transfer to the Azure cloud platform. This approach is inefficient and error-pro...
12 days ago in Cloud Pak for Data / Cloud Pak for Data System 0 Submitted

Automated Reference Data Synchronization with Azure Databricks Delta Tables

Problem Statement: Currently, synchronizing Reference Data with Azure Databricks Delta Tables is a manual process involving data export from IKC and manual transfer to the Azure cloud platform. This approach is inefficient and error-prone. Propose...
12 days ago in Cloud Pak for Data / Cloud Pak for Data System 0 Submitted

Enhanced Data Export File Format Support for Reference Data

Problem Statement: Currently, Reference data export functionality is limited to CSV format, restricting its versatility and usability for various data destinations. Proposed Solution: Expand Reference data export capabilities to support a wider ra...
12 days ago in Cloud Pak for Data / Cloud Pak for Data System 0 Submitted

Enhanced Data Import File Format Support for Reference Data

Problem Statement: Currently, Reference data import functionality is limited to CSV format, restricting its versatility and usability for various data sources. Proposed Solution: Expand RDM's data import capabilities to support a wider range of co...
12 days ago in Cloud Pak for Data / Cloud Pak for Data System 0 Submitted

Automated RD Type Modification with Data Migration

Problem Statement: Currently, modifying RD Types in IBM-RDMs requires creating new RD Sets and RD Types, which can be inefficient and error-prone. Additionally, handling reference data during RD Type modifications involves manual steps, leading to...
12 days ago in Cloud Pak for Data / Cloud Pak for Data System 0 Submitted

Automated MAPs/SETs Update with Reference Data Handling

Problem Statement: Currently, updating MAPs/SETs in IBM requires a manual process of exporting reference data, updating MAPs/SETs, publishing new MAPs/SETs, and loading data back. This process is time-consuming and error-prone. Proposed Solution: ...
12 days ago in Cloud Pak for Data / Cloud Pak for Data System 0 Submitted

Multiple IMS connection support by DVM

Currently, one DVM server can connect to single IMSsubsystem only. Therefore, when multiple IMS subsystems exist in 1 LPAR, we must configure multiple DVM servers for each IMS subsystem to access data in all IMS subsystems.If DVM can support conne...
about 1 month ago in Data Virtualization Manager for z/OS 0 Under review

Multiple TCPIP stack support by DVM

Currently, one DVM server can support single TCPIP stackonly. Therefore, when multiple TCPIP stacks exist in 1 LPAR, we must configure multiple DVM servers for each TCPIP stack to use all network connections.If DVM can support multiple TCPIP stack...
about 1 month ago in Data Virtualization Manager for z/OS 0 Under review

Customizable Table Naming in IBM Cognos Dataset Store

I have a suggestion for enhancing the Dataset Store feature in IBM Cognos, which automatically creates a table in DB2 upon uploading a CSV file. Currently, the table names are generated with a pattern that includes a prefix 'Cog' followed by two s...
2 months ago in Cognos Analytics / Data Access and Modelling 0 Submitted

Db2 native and RACF security consistency requirement

This is especially important for shops like ours where for years DB2 native security and migrate to RACF security to be complaint with security audit and policies, and also new mainframe applications standards. There is multiple areas where curren...
8 months ago in Db2 for z/OS 2 Not under consideration