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APR 5, 2011 10:57pm ET

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Information Management As An Asset

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Chicago – I'm learning and getting a lot from my visit to the Enterprise Data World conference this week, reconnecting with friends at DAMA, columnists for Information Management magazine and following a good lineup of tracks.

Yesterday I gravitated to John Ladley’s sessions on Enterprise Information Management, which, in the confusing scheme of tech trends these days was a relief for reiterating some foundational points of EIM and taking them deeper.

Ladley runs IMCue Solutions and has seen his share of information debacles over the years, which he sometimes recounts in an exaspirational tone reminiscent of comedian Lewis Black. The passion is engaging but also contagious. Unlike Black, (link, NSFW) I think John Ladley perseveres not just on passion but by believing there's an outside chance he might, sometimes, be able to “fix” stupid.  

His definition of EIM calls for a program that manages enterprise information assets, which he's often said should be valued on a balance sheet. Information asset management within EIM are the principles by which we treat information in a business and accounting sense, measuring our results in lower cost or increased worth.

That mission calls for a rigor and many details I'm not fully convinced of yet. But by contrast, to not place value on data, (as lately advocated by Forrester's Rob Karel) sounds like a proposition that disinherits data from success. In a world where IT churns data endlessly, I think we'd agree value arises where information is actually put to use.

Since EIM is rooted in the business, Ladley's ultimate goal is to deliver EIM in a department with the same relevance to an organization as human resources or finance. And if you accept the mindset that it’s a vital critical support or staff function, you have to wonder why we so often manage information on a project basis - as if it really does have no value to own.

“Viewing EIM as a formal program gives all of the constituents of all the disciplines we are in the same perspective and presents a unified process and metaphor to address all our problems,” Ladley told me between sessions that attracted data architects and managers. “We have quality problems, master data problems, governance issues, they all have fundamental success factors, fundamental drivers, and they all have the same fundamental challenges in terms of buy in and of value proposition.”

Turf wars are lurking wherever a person seeks to carve out EIM in a stake like this, which by definition is going to ride herd on a lot of projects and disciplines. It’s probably not a great place to make friends and become popular.

Analysts aren't always going to see or tackle this directly. Even at our magazine, we never assumed information management would soon or maybe ever be a single unified discipline for the enterprise, even if we can draw the lines and tend to watch the same people move from one semi-related project to the next – for as long as they stick around anyway.

For those who have lost patience with the status quo, and have the moxie to pursue this kind of thing, it’s like a missionary calling. It’s a job you look for, not one that you'd hope finds you.

“The people who are here belong here,” Ladley told me.

Maybe it's not for everybody. But from what I saw, and despite the punditry, you’d be a rotten person to not hope they get a chance to prove their point.

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Comments (3)
The view that data is important only to support an activity is frequently the cause behind the laissez faire attitude to data management. It is when we start trying to intersect data across many activities, does the aha moment arrive - Unique identification, distinct recognition, data quality.

People who program IT solutions and people who manage them take the approach that the data faucet delivers pure water or the data wall socket delivers electricity at a rock steady 110V, 60 Hz. The world of appliance design would change if the supply were to vary say, 20% in a erratic manner. Taking data from Internet sources is like plugging in an appliance into a socket with unknown voltage and frequency.

It appears that certain types of data are best provided through enterprise plumbing and that application solutions will not be allowed to modify them without some formal rules of engagement in much the same way cogenerators can feed back electricity into the grid under terms of agreement and performance...

Posted by Prakash R | Wednesday, April 06 2011 at 12:13PM ET
There is a distinction between data and information. In short, information is processed data. this is where the problem of value for Data Governance faults us. Since information is created at the project, no one in the team will regard data with value as long as it provides or facilitates creating information. One can call it 'results -oriented'. As long as data provides the means to accomplish a project, who cares if the data is regulated. Many organizations don't even know how to setup a Data Management or Administration shop; instead, the saturate their organization with Data Analysts whose focus is to feed the project with unformatted data (irrational). ERP holds the largest failure rate of all practices and SOA is a very close second. Why? Simply, how can they go directly to exercise the practice without stumbling into system functions definition? Like the saying: "First, get the house in order" is true. If you don't believe it, see how much one pays for the vast amount of storage which 80% is junk.

Comments welcome.

Posted by SAMUEL R | Wednesday, April 06 2011 at 1:48PM ET
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