APR 5, 2011 10:57pm ET

Related Links

Modernizing Information Management in Insurance
August 18, 2014
The Digital Tipping Point: McKinsey Global Survey Results
July 2, 2014
How CIOs can Lead Their Company’s Information Business
May 27, 2014

Web Seminars

Why Data Virtualization Can Save the Data Warehouse
Available On Demand
Essential Guide to Using Data Virtualization for Big Data Analytics
September 24, 2014

Information Management As An Asset


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.

Get access to this article and thousands more...

All Information Management articles are archived after 7 days. REGISTER NOW for unlimited access to all recently archived articles, as well as thousands of searchable stories. Registered Members also gain access to:

  • Full access to information-management.com including all searchable archived content
  • Exclusive E-Newsletters delivering the latest headlines to your inbox
  • Access to White Papers, Web Seminars, and Blog Discussions
  • Discounts to upcoming conferences & events
  • Uninterrupted access to all sponsored content, and MORE!

Already Registered?


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
Add Your Comments:
You must be registered to post a comment.
Not Registered?
You must be registered to post a comment. Click here to register.
Already registered? Log in here
Please note you must now log in with your email address and password.
Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
Please note you must now log in with your email address and password.