10 Data Management TLAs You Should Know

TLA stands for Three Letter Acronym. The world is full of TLAs. The IT world is full of TLAs. The Data Management world is full of TLAs. Here are 10 TLAs from the data management world that have been mentioned a lot of times on this blog and the sister blog over at The Disruptive MDM / PIM / DQM List:

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?

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 related to each given classification of products. 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.

DAM = Digital Asset Management is about handling rich media files often related to master data and especially product information. The digital assets can be photos of people and places, product images, line drawings, brochures, videos and much more. You can learn more about how these first 3 mentioned TLAs are connected in the post How MDM, PIM and DAM Stick Together.

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.

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

10 TLA show

CDI = Customer Data Integration, which is considered as the predecessor to MDM, as the first MDMish solutions focussed on federating customer master data handled in multiple applications across the IT landscape within an enterprise. You may ask: What Happened to CDI?

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. 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?

ADM = Application Data Management, which is about not just master data, but all critical data however limited to a single (suite of) application(s) at the time. ADM is an emerging term and we still do not have a well-defined market as examined in the post Who are the ADM Solution Providers?

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. Read more about it in the post What is PxM?

PDS = Product Data Syndication, which 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)?

Combining Data Matching and Multidomain MDM

Data Matching GroupTwo of the most addressed data management topics on this blog is data matching and multidomain Master Data Management (MDM). In addition, I have also founded two LinkedIn Groups for people interested in one of or both topics.

The Data Matching Group has close to 2,000 members. In here we discus nerdy stuff as deduplication, identity resolution, deterministic matching using match codes, algorithms, pattern recognition, fuzzy logic, probabilistic learning, false negatives and false positives.

Check out the LinkedIn Data Matching Group here.

Multidomain MDM GroupThe Multi-Domain MDM Group has close to 2,500 members. In here we exchange knowledge on how to encompass more than a single master data domain in an MDM initiative. In that way the group also covers the evolution of MDM as the discipline – and solutions – has emerged from Customer Data Integration (CDI) and Product Information Management (PIM).

Check out the LinkedIn Multi-Domain MDM Group here.

The result of combining data matching and multi-domain MDM is golden records. The golden records are the foundation of having a 360-degree / single view of parties, locations, products and assets as examined in The Disruptive MDM / PIM / DQM List blog post Golden Records in Multidomain MDM.

Who are the ADM Solution Providers?

ADM MDMAs examined in the post MDM vs ADM there is a sister discipline to Master Data Management (MDM) called Application Data Management (ADM).

While there are plenty of analyst market reports on who are the MDM solution providers, there are no similar ADM solution market reports. Not even by Gartner, who has coined the ADM term.

So, let me try to present three (to seven) examples of who might be some of the leading ADM solutions:

Oracle (CDM Cloud and Product MDM Cloud)

Oracle was thrown out of the latest Gartner Magic Quadrant for MDM Solutions as their approach reflects an exclusively ADM approach to MDM, thus meeting the associated Gartner defined exclusion criteria.

This indicates that you can use Oracle technology to underpin data management encompassing master data and other critical application data as long as these data are managed in an Oracle application or brought from somewhere else into the Oracle application before the data management capabilities are applied.

SAP ECC, S/4HANA, MDG

A lot of master/application data management takes place inside SAP’s ERP application which was called ECC and is now being replaced by S/4HANA. As SAP ERP do not provide much help for master data management, there are third-party applications that helps with that. One example I have worked with is it.mds.

SAP has introduced their newest MDM solution called SAP MDG (Master Data Governance). While this MDM solution in theory may be a solution that embraces all master data within an enterprise, it is, as I see it, in practice used to govern master data that sits in SAP ECC or S/4HANA as the core advantage of SAP MDG is that it fits with the SAP ERP data model and technology set up.

Semarchy xDM

The Semarchy solution is called xDM, implying that x can be everything as M for MDM, R for RDM (Reference Data Management) and A for ADM. In this approach the data management capabilities as data governance, hierarchy management and workflow management are applied in their Intelligent Data Hub™ regardless of the brand of the source (and target) application.

xDM from Semarchy is one of the featured solutions on The Disruptive MDM / PIM / DQM List. Learn more her.

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

The People Behind the MDM / PIM Tools

Over at the sister site, The Disruptive MDM / PIM List, there are some blog posts that are interviews with some of the people behind some of the most successful Master Data Management (MDM) and Product Information Management (PIM) tools.

People behind MDM tools

CEO & Founder Upen Varanasi of Riversand Technologies provided some insights about Riversand’s vision of the future and how the bold decisions he had made several years ago led to the company’s own transformational journey and a new MDM solution. Read more in the post Cloud multi-domain MDM as the foundation for Digital Transformation.

In a recent interview FX Nicolas, VP of Products at Semarchy, tells about his MDM journey and explains how the Semarchy Intelligent Data Hub™:

  • Extends the scope of data available via the data hub beyond core master data
  • Takes an end-to-end approach for the data management initiative
  • Transparently opens the initiative to the whole enterprise

Read the full interview here.

I hope to be able to present more people behind successful solutions on The Disruptive MDM / PIM List Blog.

Movements in the Constellation Research MDM Shortlist

One of the not so often mentioned analyst MDM market reports is the Constellation Shortlist™ Master Data Management.

The Q3 2018 version was mentioned here on the blog in the post Making Your MDM Vendor Longlist and Shortlist.

The Q3 2019 version has these changes compared to the shortlist a year ago:

  • Orchestra Networks is renamed to Tibco EBX
  • Oracle CDM Cloud is joined by Oracle Product MDM
  • Stibo Systems is a new entry

Constellation MDM ShortlistTwo observations:

  • At analyst firms Gartner and Forrester, Oracle is not considered as a (major) MDM market player anymore.
  • SAP MDG is the only megavendor solution not reaching this generic shortlist

PS: If you need a shortlist tailored to your context, scope and requirements, you can get it on The Disruptive MDM list here.

When Vendors Decline to Participate in Analyst Research

In the Master Data Management (MDM) and Product Information Management (PIM) space there are some analyst market reports with vendor rankings used by organizations when doing a tool selection project.

These reports are based on the analyst’s survey at their customers and perhaps other end user organizations as well as the analysts research in corporation with the solution vendor. However, sometimes the latter part does not happen.

One example was the Gartner late 2017 Magic Quadrant for MDM solutions where IBM declined to participate as reported in the post Why IBM Declined to Participate in The Gartner MDM Magic Quadrant.

Another example is the Forrester and Informatica dysfunctional relationship. In the Forrester 2019 MDM Wave it is stated that “Informatica declined to participate in our research. This was also apparent in the Forrester 2018 PIM Wave where Forrester’s placement of Informatica as a Germany-based vendor didn’t reflect movements (and perhaps achievements) since 2012 as told in the post MDM Alternative Facts.

Both Gartner and Forrester have though positioned IBM and Informatica in their plot with the note that the research did not include interaction with the vendor.

Analyst Relationship

Information Difference has taken another approach and does not include nonparticipating vendors as discussed in the post Movements in the MDM Vendor Landscape 2019.

This challenge is a bit close to me as I am running a list of MDM / PIM / DQM vendors where there now also is a ranking service based on individual context, scope and requirements. Here I have chosen to include vendor solutions on the three above analyst reports and the list itself as noted in select your solution step 4.

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

Why Multienterprise MDM will Underpin Digital Transformation

I read (and write) a lot about why Master Data Management (MDM) is a core capability you need to succeed in digital transformation.

Over at the Profisee blog there is a post about that, extending the capability to be multidomain MDM. The post is called The Role of Multi-Domain MDM in Digital Transformation.

Also, at the Reltio blog as part of the #ModernDataMasters series, Tony Saldanha, author of the book  Why Digital Transformations Fail, explains: “Look at master data in terms of the entire virtual company – the total supply chain including your clients and suppliers – and create an ecosystem to drive standards across that.”

Tony continues: “The investment in master data within ecosystems is going to increase dramatically. People are going to realise that most of the waste that happens is at the seams of large organisations – not having a common language between the accounts payable of one company and the accounts receivable of another company means both companies are wasting resources and money.”

Multienterprise MDM Digital Transformation

This way of looking at MDM as something that goes beyond each organization and evolves to be ecosystem wide is also called Multienterprise MDM.

In my eyes this is a very important aspect of using MDM within digital transformation. This theme is further examined in the post Why is Your Digital Ecosystem and MDM the Place to Begin in Digital Transformation?

MDM / PIM solution ranking based on your context, scope and requirements

Popular Master Data Management (MDM) and Product Information Management (PIM) market reports with solution vendor rankings as the Gartner MDM Magic Quadrant, the Forrester MDM / PIM wave and the Information Difference MDM Landscape are generic, meaning they are not based on the specific context, scope and requirements that every organization on the look for a solution has.

So, no organization can just pick the solution positioned in the top right corner at their favourite analyst firm, neither make a shortlist with the solutions being most top-right or even a longlist with the well positioned solutions. They will need own research or consultancy from the report makers or consultancy firms – or yours truly.

Well, until now.

At The Disruptive MDM / PIM List there is a new service that, based on information about your context, scope and requirements, will provide a solution list that is fit for you.

Your solution list

Curious? Go to select your solution here.