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Featured Article
The convergence of Master Data Management (MDM) and social networking is inevitable.
Not because we need to jump on the social networking bandwagon to keep MDM interesting and relevant. But because companies like Google (with Google+) and data.com (formerly Jigsaw and now SalesForce.com) have already cemented the relationship between the two.
The evolving conversation regarding MDM and social networking has two perspectives. One angle considers how to use members of a social network in the management of master data. The other addresses how to use MDM for managing data about members of a social network.
The first context for discussing MDM and social networking has been a subject of interest for some time. Crowd-sourcing is the basic social networking mechanism used to accomplish this goal. The "crowd" can be a well-defined group of employees or a coalition of like-minded members of an online service.
The second recently came to the forefront when Google chairman Eric Schmidt proclaimed that the company will only accept "real names" in Google+. According to GigaOM, Schmidt admitted in an interview "Google is taking a hard line on the real-name issue because it sees Google+ as an 'identity service'."
That sounds a lot like an MDM policy in the making.
Continue reading ...
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Greetings!
We've got in depth articles by Peter Perera, Frank Johnson, Julie Hunt, Mark Allen, Rob DuMoulin and myself:
- MDM's Blind Spot: Social Networks, by Peter Perera
- Where Data Governance Stops and MDM Starts, by Rob DuMoulin
- Hyperion DRM Customer Panel at Oracle OpenWorld 2011, by Dan Power
- Oracle's MDM Vision, Strategy, and Roadmap, by Dan Power
- MDM: Why Good Business Practice Insight is Hard to Find, by Mark Allen
- Connecting Data Governance to Business Outcomes, by Julie Hunt
- Getting Data Governance Up and Running, by Dan Power
- Hub Designs Celebrates Fourth Anniversary, by Dan Power
- IT Reformation and the Splinternet (Part 3), by Frank Johnson
- IT Reformation and the Splinternet (Part 2), by Frank Johnson
- IT Reformation and the Splinternet (Part 1), by Frank Johnson
- Gaming Master Data Management, by Peter Perera
Best regards --- Dan Power
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 I have to admit, the title is a slight misnomer. Data Governance (DG) never actually stops, but the lines of responsibility vary greatly based on the flavor and depth of Governance in an organization. From the other direction, MDM itself is an exercise in data governance, so can we extrapolate that MDM is really just DG? If it were so, I could redefine an entire industry with this article. The gray area between DG and MDM is real and (artificially) exists due to a lack of definition, maturity, or understanding within an organization. Continue reading ... |
 Dan Power, attending Oracle OpenWorld 2011, live blogged this session led by Rahul Kamath, Director of Product Strategy at Oracle. Rahul Kamath led off with the quote "Nothing is certain but death and taxes ..." which is attributed to Ben Franklin, but went on to say that it's also true that constant change is inevitable in our businesses. A lot of companies struggle with handling changes like new sales territories, new financial accounts or cost centers, new legal entities, etc. in their front office, back office, their own organization, and their performance management efforts. Continue reading ... |
 Dan Power, attending the Oracle OpenWorld 2011 conference, live blogged this session by Manoj Tahiliani, Senior Director of MDM Product Management & Strategy at Oracle. Oracle MDM, both as a total portfolio and its individual "MDM for Customer Data" and "MDM for Product Data" solutions grew fastest in the market in 2010. The source was a recent Gartner report ("Forecast, MDM Worldwide 2010-2015"). Continue reading ... |
 "MDM should be a business driven program" is the mantra we hear time and time again. And while that is the right prevailing wisdom, doesn't it seem that there is far more articulation about the technical elements of MDM than about the business elements? Continue reading ... |
 Process-centric initiatives are often optimal approaches for the things that companies want to accomplish. Business processes make it possible to directly connect work to business outcomes that lend themselves to various metrics that provide clarity for business performance. On the other hand, data and data-oriented solutions, by themselves, don't usually map directly to business outcomes, and as such, usually can't be measured by value contributed to desired outcomes and achievement of key corporate goals. Continue reading ... |
 The latest article in an ongoing series on Data Governance sponsored by SAP addresses critical questions such as "Where Will Data Governance Live?" and "Who'll Pay For It?". |
 Four years ago today, Hub Solution Designs, Inc. was incorporated in the Commonwealth of Massachusetts as "a management consulting firm which helps companies to improve performance through strategy development, application of best practices, change management, technology implementation and other operational improvements". That's what it says in our Articles of Incorporation, and it's not too different from what we're doing today, four years later. Continue reading ... |
 The practice of data governance is in a precarious position as a result of two paradoxical dynamics at work in business technology. The first dynamic is "the IT Reformation" - the trend toward business units acquiring their own technology solutions rather than relying on or even involving IT. The second dynamic is known as "The Splinternet" - the devolution of the Internet (and Internet applications) into proprietary fiefdoms of walled gardens and closed applications. Read Part 1, Read Part 2, Read Part 3 |
 Want to improve the quality of business data while increasing enterprise system adoption? Turn MDM into a game. In recent months, the "gamification" of business applications has become a hot topic. Gamification seeks to incorporate game mechanics into software applications for, say, CRM and ERP. The goal is not to literally make MDM a game but to instead apply game mechanics to MDM and data quality. Continue reading ... |
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