Gartner Group provides a vendor targeted comparison,
where IBM hits the ground with IBM MDM Server V11.3.
PSC IT Consulting provides Training for this product since 2009.
This Gartner Group Paper is focussed on the Customer Data MDM
Domain.
Actually IBM MDM Server V11.3 is a multi-domain hub product - linked primarly to Customer Domain AND Product Domain and other related Subdomains.
Source:
Have a tour through a document Gartner Consulting has
published in 10/2014.
Gartner's Magic Quadrant offers insight into the part of the packaged MDM solution market that focuses on how organizations master and share a "single version" of customer data with multiple views of it across their organizations — achieving a single version of master data is a key initiative for many organizations. In the latest report*, published October 30, 2014, IBM was once again positioned as a leader.
Vendors were measured on the ability of their products to support the following MDM of customer data solution capabilities:
- Data modeling
- Information quality management / semantic
- Business services, integration and synchronization
- Business process management (BPM) and workflow design and management
- Performance, scalability, availability and security
- Stewardship support and services
- Technology and architecture considerations
- Information governance support
VIEW SUMMARY
Vendors' integrations of acquired business process management software have progressed modestly over the past year, and functionality to integrate MDM and big data, though unproven, is now the norm. This Magic Quadrant will help information management leaders find the right vendor for their needs.
Market Definition/Description
Master data management (MDM) of customer data solutions are software products that:
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Support the global identification, linking and synchronization of customer information across heterogeneous data sources through semantic reconciliation of master data
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Create and manage a central, persisted system of record or index of record for master data
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Enable delivery of a single customer view to all stakeholders, in support of various business benefits
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Support ongoing master data stewardship and governance requirements through workflow-based monitoring and corrective-action techniques
For the product master data domain, we publish a separate "Magic Quadrant for Master Data Management of Product Data
Solutions."
MDM of customer data implementations, and their requirements, vary in terms of:
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The instantiation of the customer master data, ranging from the maintenance of a physical "golden record" to a more virtual, metadata-based, indexing structure
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The usage and focus of customer master data, ranging across use cases for design (information architecture), construction (building the business), operations (running the business) and analytics (reporting the business)
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Different organizations' structures, ranging from small, centralized teams to global, distributed organizations
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The latency and accessibility of the customer master data, ranging from real-time, synchronous reading and writing of the master data in a transactional scenario between systems, to message-based, workflow-oriented scenarios of distributed tasks across the organization, and legacy-style batch interfaces moving master data in bulk file format
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The complexity of the business environment and hence the use cases they need to satisfy; these need appropriate levels of governance, risk management and controls to be established
Organizations use MDM of customer data solutions as part of an MDM strategy, which in itself should be part of a wider enterprise information management (EIM) strategy. An MDM strategy
potentially encompasses the management of multiple master data domains, such as customer, product, asset, person or party, supplier and financial masters.
As the name suggests, MDM of customer data focuses on management of the data domain relating to customers, though the solutions can be used to govern other "party"-type data (for example,
supplier master data). By contrast, MDM of product data technology focuses on the domain relating to "thing" data (see "Magic Quadrant for Master Data Management of Product Data Solutions").
There are no discrete Magic Quadrants for other master data domains, and nor is there is a "multidomain MDM" Magic Quadrant. At present, we believe such Magic Quadrants would be premature,
because MDM needs are very diverse (see "The Five Vectors of Complexity That Define Your MDM Strategy"), leading to different market segments, and most evaluation and buying activity still
focuses on initiatives for specific master data domains. In addition, different functional requirements result in some vendors having multiple MDM solutions in the same data domain, which can
result in multiple dots in this Magic Quadrant (see the Multiple Products section below). In this year's survey of reference customers, while 45% of respondents voiced interest in noncustomer
domains, only 20% actually formally evaluated those capabilities in vendor solutions prior to purchase.
Furthermore, although many MDM solutions are marketed as "multidomain MDM," they do not always conform to our definition of multidomain MDM technology (see Note 1), and we find that they have many gaps in their capabilities for, and experience of, handling every data domain (see "MDM Products Remain Immature in Managing Multiple Master Data Domains" and "Why You Will Probably Need More Than One Master Data Management Vendor"). We continue to encourage MDM vendors to embrace and progress a cohesive and comprehensive vision for multivector MDM (see Note 1).
This Magic Quadrant provides insight into the segment of the constantly evolving packaged MDM system market that focuses on managing customer data to support CRM and other customer-related strategies. It positions relevant technology providers on the basis of their Completeness of Vision relative to the market, and their Ability to Execute on that vision.
Magic Quadrant
Figure 1. Magic Quadrant for Master Data Management of Customer Data Solutions
MDG-C = Master Data Governance for Customer; MDM = Master Data Management; UCM = Universal Customer Master
Source: Gartner (October 2014)
The Gartner Paper goes through different vendors and their strength and weaknesses (cautions).
Let us focus in our discussion on IBM MDM (Customer Domain):
IBM (InfoSphere MDM Advanced Edition)
IBM is based in Armonk, New York, U.S. InfoSphere Master Data Management Advanced Edition (AE) version 11.3 achieved GA in June 2014. IBM's total software revenue from MDM of customer data solutions in 2013 was $222.8 million (estimated), of which $145 million came from AE for customer data. IBM's total license count for MDM of customer data solutions in March 2014 (estimated) was 660, of which 280 were for AE for customer data.
Strengths
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Broad IM strategy: MDM is central to IBM's much larger big data and information management (IM) strategy and platform. This is attractive for organizations looking for a range of IM capabilities from a single vendor.
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Product strategy: AE is the lead IBM product for customer and multidomain MDM, and the basis of its reference data management product. IBM also positions it as a critical product for big data implementations involving customer data.
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Robust data model and services: AE has an extensible party-centric data model. It includes an extensive set of data integration services and a probabilistic matching engine.
Cautions
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Sales momentum: IBM's MDM software revenue increased by an estimated 10% in 2013, which was less than the MDM of customer data market segment's estimated growth of 12.2%.
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Perceived as complex: Our interactions with users reveal that they often see AE as having a larger technical footprint and longer time to value than competing products.
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Reference survey concerns: AE received mostly average scores from the surveyed reference customers, and below-average scores for total cost of ownership (TCO), data stewardship support, data quality reporting, and ease of implementation and deployment.
IBM (InfoSphere MDM Standard Edition)
IBM is based in Armonk, New York, U.S. InfoSphere Master Data Management Standard Edition (SE) version 11.3 achieved GA in June 2014. IBM's total software revenue from MDM of customer data solutions in 2013 was $222.8 million (estimated), of which $78 million came from SE for customer data. IBM's total license count for MDM of customer data solutions in March 2014 was 660 (estimated), of which 380 were for SE for customer data.
Strengths
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Broad IM strategy: MDM is central to IBM's much larger big data and IM strategy and platform. This is attractive for organizations looking for a range of IM capabilities from a single vendor.
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Unique offering: SE is oriented around a registry-like implementation with an extensible data model and a powerful matching engine. Reference customers gave SE average to above-average scores almost across the board, but high scores for initial load support.
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Strong industry focus: SE is very strong in the healthcare and public sectors where the complexity of application landscapes often requires the registry implementation style.
Cautions
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Sales momentum: IBM's MDM software revenue increased by an estimated 10% in 2013, which was less than the MDM of customer data market segment's estimated growth of 12.2%.
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Limited implementation style support: SE is limited to the registry style. Users needing other styles should consider IBM's AE or other vendors' offerings.
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Limited integration: IBM has initially prioritized investment in "out of the box" integration for newer facilities, such as the IBM MDM Stewardship Center, for AE, over SE.
So, what we learn from Gartner related to IBM:
IBM MDM Customer Focus is on IBM MDM Advanced Edition (AD), and for the health industry a special solution for registry implementation style: IBM MDM Standard Edition (SE).
IBM MDM AD is the generic IBM MDM Customer Tool Set for all those MDM functions collected by the Gartner Group.
- Data modeling
- Information quality management / semantic
- Business services, integration and synchronization
- Business process management (BPM) and workflow design and management
- Performance, scalability, availability and security
- Stewardship support and services
- Technology and architecture considerations
- Information governance support
IBM also has an offer for a dedicated MDM
Product Domain Solution: IBM MDM Collaborative Edition.
PSC IT Consulting gives/ gave trainings for this MDM Product Domain Solution since 2005.
For further questions: Contact: Peter Schmid.