One challenge here is how to extend the capabilities in MDM / PIM / DQM solutions that are build for Business-to-Business (B2B) and Business-to-Consumer (B2C) use cases. Doing B2B2C requires a Multidomain MDM approach with solid PIM and DQM elements either as one solution, a suite of solutions or as a wisely assembled set of best-of-breed solutions.In the MDM sphere a key challenge with B2B2C is that you probably must encompass more surrounding applications and ensure a 360-degree view of party, location and product entities as they have varying roles with varying purposes at varying times tracked by these applications. You will also need to cover a broader range of data types that goes beyond what is traditionally seen as master data.
In DQM you need data matching capabilities that can identify and compare both real-world persons, organizations and the grey zone of persons in professional roles. You need DQM of a deep hierarchy of location data and you need to profile product data completeness for both professional use cases and consumer use cases.
In PIM the content must be suitable for both the professional audience and the end consumers. The issues in achieving this stretch over having a flexible in-house PIM solution and a comprehensive outbound Product Data Syndication (PDS) setup.
As the middle B in B2B2C supply chains you must have a strategic partnership with your suppliers/vendors with a comprehensive inbound Product Data Syndication (PDS) setup and increasingly also a framework for sharing customer master data taking into account the privacy and confidentiality aspects of this.
Any implementation of a Master Data Management (MDM), Product Information Management (PIM) and/or Data Quality Management (DQM) solution will need a business case to tell if the intended solution has a positive business outcome.
Prior to the solution selection you will typically have:
Identified the vision and mission for the intended solution
Nailed the pain points the solution is going to solve
Framed the scope in terms of the organizational coverage and the data domain coverage
Gathered the high-level requirements for a possible solution
Estimated the financial results achieved if the solution removes the pain points within the scope and adhering to the requirements
The solution selection (jump-starting with the Disruptive MDM / PIM / DQM Select Your Solution service) will then inform you about the Total Cost of Ownership (TCO) of the best fit solution(s).
From here you can, put very simple, calculate the Return of Investment (ROI) by withdrawing the TCO from the estimated financial results.
The report also measures how happy the end customers are with the vendors: “The happiest customers based on this survey were those of Datactics, followed by those of Syncsort and Active Prime, closely followed by those of Innovative Systems and Melissa Data, then Experian. Congratulations to those vendors.”
Also, this time it strikes again that the mega vendors (IBM, SAP, Informatica) are not in this crowd.
The Disruptive MDM / PIM / DQM List has an interactive service that can help you jumpstart in your tool selection for a Master Data Management (MDM), Product Information Management (PIM) and/or Data Quality Management (DQM) solution.
The selection model is based on the context, scope and requirements for your solution.
The context includes the geographical reach and the industry where your organization operates.
The scope includes the number of entities as for example consumers (B2C customers), companies (B2B customers, suppliers and other business partners), products and digital assets as well as the organizational reach.
The requirements are those that differentiate the MDM / PIM / DQM solutions on the market.
The solution capabilities considered in the selection process are those of who are:
On this Disruptive MDM / PIM / DQM Solutions List or
Gartner MDM Magic Quadrant or
Forrester MDM Wave or Forrester PIM Wave or
Information Difference MDM Landscape
These two sets of information are compared in a continuously supervised learning algorithm – also known in marketing as machine learning and artificial intelligence (AI).
Filling in the information usually takes less than 15 minutes. You will get your solution list within 1 to 48 hours.
The outcome is:
The best fit solution for a Proof of Concept
Two more solutions to be in a shortlist
Four more solutions to be in a longlist
If fit, a couple of more solutions to be considered as alternatives or supplements
During the half year this service has been online, more than 100 end user organizations or their consultants have received their solution list.
This service is free. No information is shared with anyone unless requested. Are you ready? Start with step 1 here.
One of the major players on the data quality market, Experian, do a yearly survey of the current data management trends. This year is no exception and I just had the chance to read through the 2020 report.
This year’s report revolves around trusted data, data debt and the skills gap in the light of data literacy. As always, the report holds some good percentage take away you can use in your data quality evangelism.
My favourite this year is a bit tricky:
I think this one shows a challenging side of data quality evangelism. While operational efficiency is a bit ahead of other reasons to improve data quality, there are many good reasons to improve data quality. And advocating for every kind of goodness is often harder than being able to pinpoint one absolutely good reason.
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.
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 list is ready to be scaled up. The new sections being launched are:
The Service List: In parallel with the solution providers it is possible for service providers – like implementation partners – to register on The Service List. This list will run besides The Solution List. For an organization on the look for an MDM / PIM / DQM solution it is equally important to select the right solution and the right implementation partner.
The Resource List: This is a list – going live soon – with white papers, webinars and other content from potentially all the registered tool vendors and service providers divided into sections of topics. Here end user organizations can get a quick overview of the content available within the themes that matters right now.
The Case Study List: The next planned list is a list of case studies from potentially all the registered tool vendors and service providers. The list will be divided into industry sectors. Here end user organizations can get a quick overview of studies from similar organizations.
If you have questions and/or suggestions for valuable online content on the list, make a comment or get in contact here:
Analyst firms occasionally publish market reports with solution overview for Master Data Management (MDM), Product Information Management (PIM) and Data Quality Management (DQM).
The publication schedule from the analyst firms can be unpredictable.
Information Difference is an exception. There have during the years every year been a Data Quality landscape named Q1 and published shortly after that quarter and an MDM landscape named Q2 and published shortly after that quarter. However, these reports are relying on participation from relevant vendors and not all vendors prioritize this scheme.
Forrester is quite unpredictable both with timing and which market segments (MDM, PIM, DQM) to be covered.
Gartner is a bit steadier. However, for example the MDM solution reports have been coming in varying intervals during the latest years.