Big Data is the confluence of three major technology trends hitting the industry right now: Big Transaction Data (describing the enormous growing volumes of transactional data within the enterprise), Big Interaction Data (describing new types of data such as Social Media data that are impacting the enterprise), and Big Data Processing (describing new ways of processing data such as Hadoop). If you can imagine companies having problems with business-critical master data such as customers, products, accounts, and locations at current data volumes, now that problem is compounded many-fold with the growth into Big Data. That’s where MDM and Data Quality come in as the fundamental solutions. So, why is MDM and Data Quality such a big deal for Big Data?...
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0 comments 1,075 readsPosted on 2011-05-27
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0 comments 908 readsPosted on 2011-03-11
Master data management is a hot topic in Asia Pacific. That was shown by the keen interest in MDM during Gartner’s BI Summit in Sydney, Australia, in end-February, and in a recent survey that Gartner conducted of the APAC community.
In that survey, master data management was ranked the #1 data-related technology under consideration for deployment in APAC. Forty-two percent of Gartner’s respondents put MDM at the top of their lists, ahead of dashboards/scorecards, predictive analytics, performance management, and 14 other technologies. Given that the survey found only 20 percent of APAC organizations are using MDM today, there’s clearly a lot of room for growth.
I spent two days at the BI Summit, and noticed a marked increase in interest in MDM among attendees compared to Gartner’s 2010 event. A standing-room only crowd of well over 150 (out of 267 attendees at the Summit) packed in to hear...
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1 comments 890 readsPosted on 2011-01-17
We often hear from our Informatica MDM customers about the main benefits they’ve realized from master data management (MDM)—smarter, faster decision-making and greater productivity though timely and reliable data. What’s less widely recognized is that MDM is proving to be a powerful cost-saving engine, as well.
For instance, a global investment bank saved millions of dollars by using Informatica MDM to virtually eliminate maintenance and support costs for a complex web of point-to-point integrations. If you’re using or considering MDM, it’s a smart idea to assess the costs of unintegrated data systems and examine cost-saving strategies and tactics available through a multidomain, model-driven MDM solution.
We’ve just published a new white paper, “Seven Ways to Reduce IT Costs with Master Data Management,” that drills down into using MDM to...
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0 comments 820 readsPosted on 2010-11-08
Master Data Management (MDM) is certainly abuzz! In its recently released Magic Quadrants for MDM, Gartner projects a Compound Annual Growth Rate (CAGR) of 18% for the next three years. Numbers aside, where is MDM heading? Multidomain? Complex Relationship/ Hierarchy Management? Business adoption of master data? Customer Data Integration (CDI) and Product Information Management (PIM) as separate markets and simply Single Version of the Truth seems so yesterday! At Informatica, we are see an increasing number of MDM interests/ implementations being multidomain. It’s no longer about enough to just gain a single version of the truth – business processes like cross-sell/ up-sell require a complex relationship of which customer owns what products. And, if the business doesn’t consume the master data, your MDM implementation can end up in the MDM graveyard. Do you see it that way? Join us for the TweetJam on Nov 11th at 9am Pacific, 12noon Eastern.
TweetJams are online Twitter...
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0 comments 1,169 readsPosted on 2010-05-25In late April I was in London to give the MDM keynote at Informatica World, and was surprised to be greeted by a standing-room-only crowd of at least 200 people. When I asked how many of those in attendance were actively engaged in or interested in evaluating MDM, at least a quarter of the room raised a hand. If I’d given the same talk two years ago, I would have expected a crowd of 100 at best, and maybe 10% of the room responding affirmatively to the same question.
Further, in discussions with conference attendees after my talk and in the days following, I got the strong impression that MDM is generating pretty intense interest in the U.K. and the larger EMEA market. While the MDM space in the U.S. has crossed the chasm from early adopters to nearly general use, I feel that Europe isn’t far behind. The interest is to the point where it feels like IT and business executives across quite a few industries are looking at MDM as a means to address a...
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0 comments 1,200 readsPosted on 2010-04-22A couple of weeks back I posted on the shortcomings of the application approach to multidomain MDM, so this week let’s take a look at the many reasons why the platform approach is the superior alternative for effective multidomain MDM. The primary technological difference between the two approaches is that MDM “applications” typically employ a predefined data model, business logic, and a dedicated graphical user interface (GUI) tied to solving a single business problem, whereas platform-based MDM allow users to create and use flexible data models, configure it to suite any business logic, and provide visibility across any number of business processes via a single user interface.
The broader platform approach doesn’t just support multiple data domains, it also...
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0 comments 1,206 readsPosted on 2010-04-03
OK, where were we… Oh right! Sorry for the interruption in blogging. We’ve all been busy getting acclimated to our new surroundings in Redwood Shores and getting to know our new colleagues in the Informatica family. The process has been really smooth and we’re all excited about continuing to move MDM forward backed by the Informatica brand.
Way back in December I promised a post on the differences between the application approach versus the platform approach for cross-industry, multidomain MDM use cases. So, let’s take up that subject to inaugurate the new Informatica MDM Blog. The impetus for the original blogpost was the claim, made in Gartner’s 2010 predictions for MDM, that the number of companies shopping for multidomain MDM solutions would increase in 2010. It’s a completely understandable prediction, and one that I...
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0 comments 1,301 readsPosted on 2010-01-06
With the New Year dawning I wanted to look back at some industry trends from the past twelve months, and then look at ahead at what we’re likely to see in 2010. So, this week: recap. Next week: predictions.
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0 comments 1,525 readsPosted on 2009-12-10
Just this week, leading research firm Gartner, Inc. published its 2010 predictions for MDM. There is one prediction related to multidomain MDM that I found particularly interesting. It mentions that the number of companies shopping for multidomain MDM solutions has increased. Now, why is that?
To get some insight into MDM purchasing and implementation trends, we simply need to look at companies that began their MDM journey in the past five years, especially those companies that started off with a single domain, such as customer data. Many of these MDM pioneers have since expanded their implementation to other domains such as finished products, materials, price, employees, and so on. But how did they do that? By using the same multidomain MDM platform? Or by separately implementing distinct single-domain MDM applications, such as one for customer data and another for product data?
Gartner contends that no vendor has a comprehensive multidomain MDM technology...
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0 comments 4,314 readsPosted on 2009-12-03
Over the past two years, the demand for Master Data Management (MDM) has remained strong, despite the economic downturn. This isn’t surprising, since an effective MDM implementation is one of the few IT initiatives companies can pursue to realize near-immediate business process improvements across many different areas within the enterprise. However, the question confronting IT and business decision-makers is which MDM solution and methodology will work best to resolve their master data challenges? One possible route for many large organizations with extensive SAP implementations is to make their SAP enterprise resource planning (ERP) application suite the focus of their MDM initiatives. It seems like an enticing proposition, given the possibility of capitalizing on existing IT infrastructure, investment, institutional knowledge and so forth. Yet SAP ERP systems are not designed to support master data management, and are simply not the right place to master data.
Why Not...


