Transform Enterprise Data into Business Intelligence. Make intelligent business decisions armed with rich insights from your data.
Read Architecting enterprise intelligenceTransform Enterprise Data into Business Intelligence. Make intelligent business decisions armed with rich insights from your data.
Read Architecting enterprise intelligenceWant to stay clued in on the latest trends of MDM? You’ve landed in the right place.
Product Information Management is a subset of MDM that enables the creation of a master copy of product information that is useful in addressing strategic business initiatives. In this edition of the IBM MDM User Group Meeting, our panel of experts discuss the different parameters essential for building a consistent PIM solution, and offer insights on best practices for a successful PIM roadmap and implementation.
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The IBM MDM User Group includes End Users, Consultants, and Developers from all around the world, who regularly meet to share their experiences and best practices. Launched in September 2020, the group meets virtually to discuss their product knowledge, implementation experience, product updates and offers a panel discussion on trending topics. There is also an MDM online group within IBM’s DataOps online community with an active discussion forum. We regularly share the event schedule, presentations, meeting recordings, and resources there.
We are now seeing the second wave of MDM, and here are some essential tips for implementing MDM based on the learnings from the first wave – both successes and failures.
Processing large volumes of data might cause performance issues during the Batch Processing stage, thus bringing down the TPS. Here are some potential root causes that influence the Batch Processor performance and its remedies.
Conducting an ROI assessment of your MDM project is critical to ensuring that your company can get the most out of its MDM implementation.How do you demonstrate an ROI for an MDM solution to manage customer data?
In today’s world, there is greater awareness concerning MDM than ever before. MDM technologies have matured over the years. Cloud infrastructures have become mainstream with advancements in supporting technologies, reduction in bandwidth costs, and improved security. These factors are contributing to much buzz around MDM, particularly about MDM on the cloud.
Adopting the cloud model is a major decision, as it requires careful planning covering areas such as strategy, architecture, implementation, and sustainment. Are you considering cloud as an option for your MDM deployments? How is the cloud factor influencing decisions today, and how will this movement shape the future?