It is high season for painting Easter eggs now.
This egg is featuring:
as well as:
Check out the 10 data management TLAs on this list here.
Last week The Resource List went live on this site.
The rationale behind the scaling up of this site is explained in the article Preaching Beyond the Choir in the MDM / PIM / DQM Space.
These months are in general a yearly peak for conferences, written content and webinars from solution and service providers in the Master Data Management (MDM), Product Information Management (PIM) and Data Quality Management (DQM) space. With the covid-19 crises conferences are postponed and therefore the content providers are now ramping up the online channel.
As one who would like to read, listen to and/or watch relevant content, it is hard to follow the stream of content being pushed from the individual providers every day.
The Resource List on this site is a compilation of white papers, ebooks, reports, podcasts, webinars and other content from potentially all the registered tool vendors and service providers on The Solution List and coming service list. The Resource List is divided into sections of topics. Here you can get a quick overview of the content available within the themes that matters to you right now.
The list of content and topics is growing.
Check out The Resource List here.
PS: The next feature on the site is planned to be The Case Story List. Stay tuned.
This site was launched in the late 2017.
Here the first innovative Master Data Management (MDM) and Product Information Management (PIM) tool vendors joined the list with a presentation page showcasing the unique capabilities offered to the market.
The blog was launched at the same time. Since then, a lot of blog posts – including guest blog posts – have been posted. The topics covered have been about the list, the analysts and their market reports as well as the capabilities that are essential in solutions and their implementation.
In 2019 the MDM and PIM tool vendors were joined by some of the forward-looking best-of-breed Data Quality Management (DQM) tool vendors.
The Select Your Solution service was launched at the same time. Here organizations – and their consultants – who are on the look for a MDM / PIM / DQM solution can jumpstart the selection process by getting a list of the best solutions based on their individual context, scope and requirements. More than 100 hundred end user organizations or their consultants have received such a list.
Going into the 20es the site is ready to be scaled up. The new sections being launched are:
If you have questions and/or suggestions for valuable online content, make a comment or get in contact here:
Within Master Data Management (MDM), Product Information Management (PIM) and Data Quality Management (DQM) one of the critical data elements that needs to be governed is the product name (product description).
Usually the product name is held in two forms:
The data quality dimensions that applies to the product name are namely:
The most common sub elements in a product name are:
It is a challenge to implement data governance around product names within a single organization. Even more it is a challenge to rely on / be depended on your trading partners when governing product names in business ecosystems as told in the post Toilet Seats and Data Quality.
In data management disciplines as Master Data Management (MDM), Product Information Management (PIM and Data Quality Management (DQM) the context has a lot say for data that fundamentally are the same. One example is fashion vs work clothes as it applies to PIM and data quality measures required .
Clothes for private (and white collar) use and work clothes are as products quite similar. You have the same product groups as shoes, trousers, belts, shirts, jackets, hats and so on.
However, the sales channels have different structures and the product information needed in sales, not at least self-service sales as in ecommerce, are as Venus and Mars.
Online fashion sales are driven by nice images – nice clothes on nice models. The information communicated is often fluffy with only sparse hard facts on data like fabrics, composition, certificates, origin. Many sales channel nodes only deal with fashion.
Selling work clothes, including doing it on the emerging online channels, does include images. But they should be strict to presenting the product as is. There is a huge demand for complete and stringent product information as we know it in B2B (online) sales.
Work clothes are often sold in conjunction with very different products as building materials, where the requirements for product information attributes are not the same. Work clothes comes, as fashion, in variants in sizes and colors. This is not so often used, or used quite differently, when selling for example building materials.
One challenging area here is where we have work clothes and building materials in the same data pool or in other means of Product Data Syndication (PDS).
The Disruptive MDM / PIM / DQM List 