An analysis of the recent trends in the data management
space points to the emergence of the SMB-driven master data management
adaption. The ubiquitous MDM projects have always been a prerogative of the Global
5000 companies; however this has been changing throughout 2011. The tidal wave of
data caused by the amount of the information heading to the SMBs and driven by increasing
SMB participation in the social network ecosystem requires smaller companies to
start looking at Data Quality, Data Governance and MDM within their
organizations. With SaaS pricing going down and usability going up, SaaS applications
like NetSuite, Salesforce and Jive are spreading through the market segment
like wildfire. As SMB CIOs and CFOs start to gain the benefits of having a
solid (but inexpensive) back office and sales force management systems, they
inadvertently start experiencing the data management problems way ahead of their
company traditional growth needs.
In a recent article for Information Management, The MDM
Institute's chief research officer, Aaron Zones, outlines future MDM trends
through 2013.
For example, trend number two is “MDM Market Momentum,” but it includes
all of the following trend predictions:
1. While
Global 5000 enterprises will spend an average of $1 million on MDM software,
they'll spend $3-4 million more for integration services.
2. IBM,
Oracle, SAP and Informatica offer SMB's entry-level MDM for $250,000 to
$500,000.
3. Mergers
and acquisitions, the drive for sales leads, and compliance will be the drivers
for funding MDM.
4. IT-initiated
MDM projects will struggle to justify the business value.
5. There
will be a skill shortage for MDM and data governance projects, leading to more
work for systems integrators through 2012.
We confirm these trends as we interact daily with Queplix
prospects and customers. We sell our persistent metadata server to both SMB and
larger companies and what we observe is that SMB’s and Global-1000’ requests for
data management are essentially moving towards each other and starting to overlap.
Similar features are being requested on both spectrums of the market driven by data
management needs. While SMBs have a lot more interest in measuring their social
outreach and networking than their larger counterparts, very similar trends and
feature requirements emerge around data quality and data and application integration.
Larger companies start to pay very close attention to their brand recognition
and social “chatter” around their products and marketing activities, measuring
people perceptions and even “friending” them directly. All these data needs to
be merged and analyzed within the corporate structure. Naturally, larger
companies have more data silos and larger data volumes to handle, but
essentially this is where the differences stop.
Both SMBs and Global-1000s need to integrate their data from
social networks, marketing campaigns, sales force and internal accounting
systems to have an agile and holistic view of their data at any moment in time.
Is it possible for them then to continue using 20 y.o. technologies like data
warehousing or ETL to address these problems? The answer is a flat out no. The
amount of data and ever-changing dynamic nature of data feeds and constant need
to bring even more data for analysis renders traditional ETL and rigid mapping
tools useless.
Big data management vendors i.e. IBM, Oracle and
Informatica, are dropping prices to make MDM and data quality tools more
affordable to the SMB segment, while trying to adapt the SaaS and cloud platforms
to their traditional large enterprise offers. Their product management teams had
to come to this realization by observing the market trends; they are seeing
what we are seeing and their reaction is confirming our analysis of these
trends. However, lowering pricing and adapting cloud platforms to products
which were not designed for this is not the best approach to solve current data
management problems.
The MDM and data management industry overall is in
desperate need of the next qualitative leap on its technology S-curve.We see customer environments, both on SMB side and larger
companies, where several ETL tools are deployed to feed a data warehouse (or
two), to create a datamart (or two) for BI; mostly just moving and shuffling
data around and laying pipes. IT teams are stretched and consulting teams are
brought in to close the gaps. Unfortunately, the requirements constantly change
and IT departments armed with traditional tools are falling behind, causing out
of budget run-aways, which never reach the destination. In the same paper above
the author mentions more than a quarter of MDM expense is services. I think
this is a conservative number because it is based on comparing initial estimates
to the current point in time; however as MDM projects progress the amount of
services required to implement traditional systems only increases. To learn
more about how persistent metadata servers are addressing the SMB’s MDM market
needs please go to http://www.queplix.com/solutions.html
or download our software for free and give it a try. We will even configure it
for you and teach you how to bake the bread, all at no charge.