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


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Status Submitted
Workspace Cloud Pak for Data System
Created by Guest
Created on Sep 9, 2024

RELATED IDEAS

Automated Data Mapping for RDM Data Imports

Problem Statement: Currently, IKC-RDM requires manual mapping of data elements to their corresponding column names and data types when importing data from files like CSV, XML, or JSON. This can be time-consuming and error-prone, especially for datasets with many columns.

Proposed Solution: Implement an automated data mapping feature that can intelligently map data elements to their corresponding column names and data types based on data characteristics and schema information.

Function Requirements:

  • Header-Based Mapping: Automatically map data elements to column names based on the header row of a CSV file.

  • Schema-Based Mapping: Leverage schema information (e.g., XML schema, JSON schema) to map data elements to their corresponding fields.

  • Data Type Inference: Automatically infer the data type of each data element based on its value and context.

  • Manual Overrides: Allow for manual overrides of the automated mapping if necessary.

Benefits of Automated Data Mapping:

  • Efficiency: Significantly reduce the time and effort required for data mapping.

  • Accuracy: Improve data accuracy by minimizing manual errors.

  • Consistency: Ensure consistent mapping across different datasets.

  • Productivity: Enable users to focus on data analysis and transformation rather than manual mapping tasks.

Needed By Quarter

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