Looking for the Right MDM / PIM / DQM Implementation Partner

The Disruptive MDM / PIM / DQM List has been running for a couple of years and is now a list of 15 of some of the most innovative and forward looking solutions on the Master Data Management (MDM), Product Information Management (PIM) and Data Quality Management (DQM) market.

The list can be seen as an online MDM / PIM / DQM conference:

The Online MDM PIM DQM Conference

In these times when offline MDM / PIM / DQM conferences are cancelled, I thought it might be useful to uncover if there is an interest among implementation partners in this space to join the list on an adjacent list on the site covering these services, as it besides choosing the right solution is equally important to choose the right implementation partner.

So, if you as an implementation partner are interested, you can register here.

Alternatively, give me a shout here:

10 MDMish TLAs You Should Know

TLA stands for Three Letter Acronym. The world is full of TLAs. The IT world is indeed full of TLAs. The Data Management world is also full of TLAs. Here are 10 TLAs from the data management space that surrounds Master Data Management:

Def MDM

MDM: Master Data Management can be defined as a comprehensive method of enabling an enterprise to link all of its critical data to a common point of reference. When properly done, MDM improves data quality, while streamlining data sharing across personnel and departments. In addition, MDM can facilitate computing in multiple system architectures, platforms and applications. You can find the source of this definition and 3 other – somewhat similar – definitions in the post 4 MDM Definitions: Which One is the Best?

The most addressed master data domains are parties encompassing customer, supplier and employee roles, things as products and assets as well as location.

Def PIM

PIM: Product Information Management is a discipline that overlaps MDM. In PIM you focus on product master data and a long tail of specific product information – often called attributes – that is needed for a given classification of products.

Furthermore, PIM deals with how products are related as for example accessories, replacements and spare parts as well as the cross-sell and up-sell opportunities there are between products.

PIM also handles how products have digital assets attached.

This data is used in omni-channel scenarios to ensure that the products you sell are presented with consistent, complete and accurate data. Learn more in the post Five Product Information Management Core Aspects.

Def DAM

DAM: Digital Asset Management is about handling extended features of digital assets often related to master data and especially product information. The digital assets can be photos of people and places, product images, line drawings, certificates, brochures, videos and much more.

Within DAM you are able to apply tags to digital assets, you can convert between the various file formats and you can keep track of the different format variants – like sizes – of a digital asset.

You can learn more about how these first 3 mentioned TLAs are connected in the post How MDM, PIM and DAM Stick Together.

Def DQM

DQM: Data Quality Management is dealing with assessing and improving the quality of data in order to make your business more competitive. It is about making data fit for the intended (multiple) purpose(s) of use which most often is best to achieved by real-world alignment. It is about people, processes and technology. When it comes to technology there are different implementations as told in the post DQM Tools In and Around MDM Tools.

The most used technologies in data quality management are data profiling, that measures what the data stored looks like, and data matching, that links data records that do have the same values, but describes the same real world entity.

Def RDM

RDM: Reference Data Management encompass those typically smaller lists of data records that are referenced by master data and transaction data. These lists do not change often. They tend to be externally defined but can also be internally defined within each organization.

Examples of reference data are hierarchies of location references as countries, states/provinces and postal codes, different industry code systems and how they map and the many product classification systems to choose from.

Learn more in the post What is Reference Data Management (RDM)?

Def CDI

CDI: Customer Data Integration is considered as the predecessor to MDM, as the first MDMish solutions focused on federating customer master data handled in multiple applications across the IT landscape within an enterprise.

The most addressed sources with customer master data are CRM applications and ERP applications, however most enterprises have several of other applications where customer master data are captured.

You may ask: What Happened to CDI?

Def CDP

CDP: Customer Data Platform is an emerging kind of solution that provides a centralized registry of all data related to parties regarded as (prospective) customers at an enterprise.

In that way CDP goes far beyond customer master data by encompassing traditional transaction data related to customers and the emerging big data sources too.

Right now, we see such solutions coming both from MDM solution vendors and CRM vendors as reported in the post CDP: Is that part of CRM or MDM?

Def ADM

ADM: Application Data Management is about not just master data, but all critical data that is somehow shared between personel and departments. In that sense MDM covers all master within an organization and ADM covers all (critical) data in a given application and the intersection is looking at master data in a given application.

ADM is an emerging term and we still do not have a well-defined market – if there ever will be one – as examined in the post Who are the ADM Solution Providers?

Def PXM

PXM: Product eXperience Management is another emerging term that describes a trend to distance some PIM solutions from the MDM flavour and more towards digital experience / customer experience themes.

In PXM the focus is on personalization of product information, Search Ingine Optimization and exploiting Artificial Intelligence (AI) in those quests.

Read more about it in the post What is PxM?

Def PDS

PDS: Product Data Syndication connects MDM, PIM (and other) solutions at each trading partner with each other within business ecosystems. As this is an area where we can expect future growth along with the digital transformation theme, you can get the details in the post What is Product Data Syndication (PDS)?

One example of a PDS service is the Product Data Lake solution I have been working with during the last couple of year. Learn why this PDS service is needed here.

When Can We Expect the Next Major MDM/PIM/DQM Market Report?

When selecting a solution for Master Data Management (MDM), Product Information Management (PIM) and Data Quality Management (DQM) buyers and their advisers are using the market reports from the acknowledged analyst firms operating in these markets.

The latest such ones are:

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. Let us see when the next ones are published and what news they bring.

MDM PIM DQM Solutions

PS: You can check out many of the included solutions on The Disruptive MDM / PIM / DQM List.

It Is Black Friday and Cyber Monday All the Time at the Disruptive MDM / PIM / DQM List

The upcoming Black Friday and Cyber Monday are synonymous with good deals.

At the Disruptive MDM / PIM / DQM List there are good deals all the days.

As a potential buyer on the look for a solution covering your Master Data Management (MDM), Product Information Management (PIM) and/or Data Quality Management (DQM) needs you can use the free service that based on your context, scope and requirement selects the best fit solution(s). You can start here.

Black Friday

As a solution provider you can against a very modest fee register your solution here.

Happy Black Friday and Cyber Monday.

MDM / PIM / DQM List September 2019 Achievements

September 2019 were in many ways a record month for the sister site – The Disruptive MDM / PIM / DQM List.

The number of visitors has doubled compared to last month and increased three times compared to last year’s average – and so have the page views.

Number of LinkedIn page followers has increased 27 % since last month.

The new Select your solution service has got a good debut with 16 requests for a tailored list of solutions fit for your context, scope and requirements.

A new solution has entered the list: Check out Reifier here.

MDMlist stats 2019 09

Thanks to all visitors, followers, solution selectors and registrants.

Data Quality Tool Market Musings

There is a market for data quality tools and most of the tools on this market have been operating since before year 2k either still by an independent data quality tool provider or now as part of a data management suite.

The prominent market reports telling about the market with generic ranking of the solutions are from Gartner and Information Difference (and earlier on from Forrester, who though have not published a report on data quality tools for years now).

The latest Gartner report from March 2019 was examined in the post Data Quality Tools are Vital for Digital Transformation. Information Difference has their report available here: The Data Quality Landscape – Q1 2019.

As told in the post DQM Tools In and Around MDM Tools there are three main ways of providing Data Quality Management (DQM) capabilities: As an independent data quality tool, as part of a data management suite or inside an MDM platform. The data quality tool market reports encompasses the first two of three options (while the MDM solution market reports encompasses the latter two of three).

DQ Tool Market

The data quality tools represented in the above-mentioned DQ markets reports are:

  • Informatica, who acquired the veteran DQ service SSA-Name3, Similarity Systems and other DQ services, now part of the Informatica data management suite
  • Experian, who acquired among others veteran DQ service QAS and also offers other solutions mainly related to credit check and fraud prevention
  • Syncsort, who acquired veteran DQ service Trillium, recently also Pitney Bowes and also have some other data management services
  • IBM, who acquired DQ services as Ascential now being part of a data management suite with several overlapping services
  • SAP, who bought several DQ services now being part of the huge ERP/data management suite
  • SAS Institute, who acquired Dataflux that now is part of the BI focused suite
  • Talend, as part of a data management suite
  • Oracle, who acquired veteran DQ service Datanomic and other DQ services now being part of the ERP/data management suite
  • Information Builders, as part of a data management and BI suite
  • Ataccama, together with MDM services
  • Melissa, a veteran company in DQ
  • Uniserv, a veteran company in DQ
  • Innovative, a veteran company in DQ
  • Datactics, a veteran company in DQ
  • MIQsoft
  • RedPoint Global
  • BackOffice Associates, as part of a data governance focused solution

However, there are a lot of other data quality tools on the market.

PS: If you represent a vendor providing DQM capabilities as an independent data quality tool, as part of a data management suite or inside an MDM / PIM solution, you are welcome to register your solution on The Disruptive MDM / DQM List here.

First Experiences with the MDM / PIM Solution Selection Service

As announced 3 weeks ago here on the blog I have started a service for MDM / PIM solution ranking based on your context, scope and requirements.

It has been good to see that the first 2-digit number of people have requested their solution list based on their specific requirements. A few have also provided the feedback, that they actually already had made a list. In these cases, I am happy that the responses were, that the result from the automated selection process corresponded very well with their traditional and (I guess) time and money consuming selection project.

The set of requirements I have processed have been very varying and thus the solution lists have also been somewhat different encompassing a lot of solution vendors both being on The Disruptive MDM / PIM List as well as those recognized by Gartner, Forrester and Information Difference.

Anyone else who would like to jumpstart a tool selection? Start here.

Select your solution process

Longlist, Shortlist and Proof of Concept

When selecting a tool for a Master Data Management (MDM) / Product Information Management (PIM) / Data Quality Management (DQM) solution you can:

  • Select a longlist of 5 to 10 solutions that you after some research narrow down to a shortlist and after some more thorough research you will from this select a solution for a PoC / contract.
  • Select a shortlist of 3 to 5 solutions and after some research select a solution for a PoC / contract.
  • Directly select a solution for a Proof of Concept (PoC) and Business Case.

How would you – or did you – select a tool?

 

By the way: There are also some different approaches to get the work done:

Longlist shortlist PoC

Welcome Reifier on the Disruptive MDM / PIM List

The Disruptive MDM / PIM List is list of solutions in the Master Data Management (MDM), Product Information Management (PIM) and Data Quality Management (DQM) space.

The list presents both larger solutions that also is included by the analyst firms in their market reports and smaller solutions you do not hear so much about, but may be exactly the solution that addresses the specific challenges you have.

The latest entry on the list, Reifier, is one of the latter ones.

Matching data records and identifying duplicates in order to achieve a 360-degree view of customers and other master data entities is the most frequently mentioned data quality issue. Reifier is an artificial intelligence (AI) driven solution that tackles that problem.

Read more about Reifier here.

New entry Reifier

Syncsort Nabs Pitney Bowes Software Solutions

Today it was announced that Syncsort acquires Pitney Bowes Software Solutions. In the announcement it is said that “The acquisition, Syncsort’s largest ever, brings to the company best-in-class location intelligence, data enrichment, customer information management and customer engagement solutions that are highly complementary to its existing portfolio”.

Pitney Bowes has offered a data quality oriented suite called Spectrum. Back in the 00’s Pitney Bowes acquired pioneer data quality tool vendor Group1 (and intended to buy FirstLogic).

Syncsort has its data quality tool from the Trillium Software acquisition.

Both Pitney Bowes and Syncsort were well positioned in the latest Gartner Magic Quadrant for Data Quality Tools as reported in the post Data Quality Tools are Vital for Digital Transformation.

Pitney Bowes has also been recognized as a MDM platform vendor by Forrester as mentioned in the post Several Sources of Truth about MDM / PIM Solutions.

Will be exciting to see how long Syncsort will move into the data management space. Will Syncsort stay with name and address data quality and customer data or will they, as many other vendors on the market, move towards a multidomain MDM and more comprehensive data management offering?

Syncsort Pitney Bowes Group1 FirstLogic Trillium