Tag Archives: master data
Last week, I posted this blog: Logitech MDM Case Study: Seven Lessons for Mastering Product and Customer Data (Part I of II) which shares highlights from recent webinar. Logitech’s Severin Stoll, Senior Business Engagement Manager of Global IT Solutions spoke with David Decloux, MDM technical lead in EMEA about Logitech’s Global MDM implementation, in which they are mastering product, customer and consumer data.
In this blog, I’ll share some of the highlights of the Q&A I led and results from two polls. (more…)
Logitech’s Severin Stoll, Senior Business Engagement Manager of Global IT Solutions participated in a webinar with David Decloux, MDM technical lead in EMEA about Logitech’s Global MDM Implementation.
Severin shared the business challenges that led the global electronics company to pursue an MDM program, their business requirements, and the seven lessons for mastering product and customer data. Their next step is mastering consumer data.
In the next two blogs I’ll share some of the highlights from the discussion, the Q&A session and the poll results from this popular webinar which attracted more than 800 registrants. (more…)
Recently Aaron Zornes and I hosted a webinar on the “Top 10 Best Practices for Successful MDM Implementations.” Almost 700 people registered for it – one of the highest number of registrations I’ve seen for a webinar, ever! This number tells me that many practitioners are eager to learn the best ways to ensure that their Master Data Management (MDM) implementations are successful.
Master Data Management (MDM) has been used by companies for more than eight years to address the challenge of fragmented and inconsistent data across systems. Over the years we’ve compiled quite a cadre of uses cases across industries and strategic initiatives. I thought this outline of the 30 most common MDM initiatives may be of interest to those of you who are just getting started on your MDM journey. (more…)
Given a list of data domains that were critical to the success operation of a set of business processes, we start to get a picture of the interdependence of many applications on the same conceptual data. In our last discussion, we came to the conclusion that a top-down consideration of the value of quality data to specific activities would result in a list of dependent data domains for each activity.