Master data management and data
governance are among the most widely adopted IT strategies in
recent years. This is due to the fact that both are critical for
vital business outcomes such as 360-degree views of
customers/products/suppliers, regulatory reporting and compliance,
and in general treating data as an enterprise asset.
MDM is no longer a "fast follower" technology. It is now a
mature solution providing tangible benefits for private and public
sector organizations. The desired economic outcomes include new
ways to drive down costs, enable better regulatory compliance,
provide higher levels of customer satisfaction and to provide
increased agility -- whether to add new channels or products or to
prepare for and execute on mergers and acquisitions. Data
governance is critical to achieving sustainable and effective MDM.
Failure to execute data governance concurrently with an MDM program
greatly decreases the probability of success and economic
sustainability of MDM programs.
Why is 2012 a Pivotal Year for Your Career
Now is the time that "type A" IT professionals are plotting out
their next career moves. MDM and data governance remain
hot career areas during 2012, but what about the next 12 to
18 months? Many IT pros have been trained in the major MDM
solutions, and some already have a year or more project
experience. If you stake your two-to-three-year career plan
to a specific MDM platform you should do fine. However, if you
spice your resume up via reference data management,
cloud-enablement and integration, and big data analytics
(particularly for social CRM/MDM data), you may have enhanced your
compensation potential by 30 percent or more. However, you
will also be a "data integration pioneer," and we all know that
pioneers are risk-takers and often suffer. But you can still
be a "fast follower" IT pro by monitoring such MDM-related areas
and adding them to your skills portfolio - rather than risking your
near term sanity and job prospects exclusively in such new
areas!
MDM is both pervasive and pandemic. Over the past seven years as
conference chairman for the global event series MDM & Data
Governance Summit, I have observed hundreds of MDM implementations
in almost every industry around the world ranging from very large,
highly heterogeneous distributed enterprises to midsize, mostly
homogeneous centralized/local enterprises. In this same time
frame, more than 6,000 IT professionals have attended our workshops
and tutorials in London, Frankfurt, Madrid, Moscow, New York, San
Francisco, Singapore, Sydney, Tokyo and Toronto.
During the first quarter of 2012, analysts at the MDM Institute
reviewed more than 750 MDM and data governance case studies as part
of the process to arrive at 10 strategic planning assumptions. This
2012-13 "MDM & Data Governance Roadmap" should serve as a guide
to help focus efforts for MDM programs.
The bottom line is that MDM is quickly broadening its
attractiveness both as a key enabler of strategic business
initiatives as well as tactical P&L initiatives. More so than
service-oriented architecture or business process management
experience, a very large number of IT pros are riding the cresting
wave of MDM and data governance. Just check your job sources
for these keywords and browse the number of people (and positions
offered) for these two key areas in LinkedIn groups and you will
have confirmation. As of 2012, MDM is no longer fast-follower
technology strategy but is clearly a business strategy for the
masses.
The following summary trends should you give you some insights
into how MDM and data governance overlay other trending IT areas
such as big data, reference data, social CRM/MDM, etc.
1. Pervasive MDM (MDM as a Service)
During 2012, the vast majority of application providers will
deploy en masse their next generation of MDM-innate (as opposed to
MDM-aware) applications as SAP delivers SAP Master Data Governance
for ECC/BBD, Oracle delivers Fusion applications with Fusion MDM,
and Teradata ships Aprimo database marketing apps with their
embedded MDM. Concurrently, SaaS vendors such Salesforce will
struggle to provide integrated/native MDM capabilities to
repatriate cloud-based data and services. Also, a good deal
of departments in large firms and frugal IT organizations
(government sector) will pick up Microsoft Master Data Services,
open source (from vendors such as Talend) and even hosted MDM
capability (such as Orchestra Networks) to take a lower-cost
entry point into MDM and data governance. By 2014, the market for
MDM-enabled applications (such as Oracle, SAP) will exceed that for
discrete MDM software. However, MDM-innate apps will
overwhelm MDM-enabled apps as the vendors successfully roll out
this current generation.
2. Business Process Hubs
As market observers, it is clear that the "20 years war" between
business process management and master data management has kept its
ideological fires brightly burning by these two diverse camps of
competing vendor technologies. Both camps admit that "process
needs data" and "data needs process." (How hard was that for their
marketing execs to figure out?) During 2012, MDM solution
providers and BPM solution providers will increasingly collide in
the market as the former acquire or build out BPM-centric MDM. Yet
both camps will be challenged to unify these domains, because
different business processes for CDI and PIM exist.
Through 2012-13, however, BPM-centric MDM will suffer from BPM's
traditional focus on modeling and not executing MDM rules. By
2014-15, all mega MDM and BPM vendors will have overcome this
dogmatic bias as enterprise BPM needs to execute within governance
and vice versa be able to execute MDM workflows within BPM. From
the enterprise perspective, a complete MDM solution requires both
rules and reference data to be applied across domains. In
short, MDM hubs have become "business process hubs." SAP Master
Data Governance and IBM Master Data Policy Hub are leading market
examples.
3. Big Data
Operational MDM systems are not designed to store "all"
transactional data, let alone "big data." But there a large
number of use cases that require MDM to integrate with big data
technologies. In many cases, an MDM system must identify social CRM
individuals (or groups of influencers) and relate them to
customers or products in the MDM world. By mining and managing such
info, an MDM system is enabled to feed big data analytical apps
with relevant master data and links back to the big data. Just as
vital is MDM's capability to store (share/publish) the key
analytical findings from big data such as likelihood to
attrite/recommend/defraud, next best offer, intent to purchase,
etc.
Through 2012-13, big data will repatriate itself into the MDM
fabric via registry overlays as yet another source. Mining of big
data to populate social MDM and to perform entity matching on big
data stores will help provision a 360-degree view of entity from
public, subscription and enterprise data. Through 2012,
registry-style MDM solutions will find favor in industries where
data is legally or physically too difficult to consolidate into a
physical hub, especially government and U.S. health care. During
2012-13, mega MDM vendors will apply the powerful hierarchy
management capabilities of native registry solutions to integrate
legacy MDM hubs, enterprise content management and big data.
4. Social MDM (Cloud-Enablement, Architecture and
Integration)
During 2012, cloud-enabled MDM will attract small- and mid-sized
businesses as a means to engage in MDM without committing to
long-term project and major expense while offering an enticing
entry point for large enterprises (particularly for opex versus
capex, geographically distributed organizations, POCs).
Through 2013-14, cloud-integrated and MDM-enabled apps will arrive
via Salesforce, SAP BBD, and others; however, enterprises will
wrestle with data integration issues between on-premise and cloud
with majority of organizations unwilling to house master data about
customers, products and suppliers in public cloud.
By 2014-15, very large enterprises (e.g., financial services,
large government agencies) will look to real-time MDM flows and
scaling of MDM solutions via elasticity of cloud-based solutions,
in-memory databases and next-generation ETL/MDM, while
acknowledging that big data innately requires both MDM and data
governance to be effective and sustainable. By 2014-15,
cloud-innate services for data quality and data governance will be
more prevalent than full social MDM.
However, enterprise MDM will remain "on premise" with increasing
integration to public cloud applications. Concurrently, MDM-enabled
applications will migrate to public cloud, especially for
decentralized/geographically distributed organizations. Mega
vendors will adapt matching algorithms of registry MDM hubs to
bolster the performance and accuracy of their
operational/transactional hubs matching throughput. As an example,
look to SAP's recent announcement of HANA-enabled SAP Master Data
Services to provide its "real-time customer data integration"
capability. This will be critical to the success of social
MDM.
5. Reference Data Management
Reference data management, or RDM, is often rightfully
characterized as a subset of MDM -- albeit with other requirements
and workflows layered on. Such non-volatile lookup tables
(such as metrics and measurements, ISO country tables, asset
locations, etc.) can be implemented by leveraging the flexible
models found in the current crop of MDM platforms or via
specialized variants of the major/mega vendor MDM systems. In any
case, through 2012-13, reference data will emerge as a key entry
point for enterprises and in turn unduly influence their choice of
MDM for Customer, Product and other domains.
Concurrently, MDM vendors will rush to market RDM solutions to
apply an MDM approach for centralized governance, stewardship and
control. By 2014-15, pervasive, low-cost RDM will be commoditized
via the efforts of Microsoft and others. Managing "simple"
reference data will prove to be a key sales entry point for MDM
vendors, and each vendor must provide such packaged offerings to
effectively compete at this level.
Bottom Line Redux
MDM and data governance are codependent/interdependent. Savvy
organizations must invest upfront in data governance for MDM
sustainability and ROI. Savvy individuals will look to
leverage the related trends of big data, social CRM/MDM and
reference data management.
"Go early, go governance" clearly provides the best possible
resume for an IT professional when combining both MDM and data
governance program experience to the top of your resume credits,
but you should also spike your resume this year with training and
experience in big data, social CRM/MDM, and reference data
management.
See you at the next annual MDM and Data Governance summit in
your hemisphere. The detailed report "MDM & Data Governance
Strategic Planning Assumptions for 2012-13" can be found by clicking here.
Aaron Zornes is Chief Research Officer of The MDM Institute
and Conference Chairman and MDM & Data Governance Summit
series.