Welcome to EMC Consulting Blogs Sign in | Join | Help

SSIS Junkie

Once upon a time this blog was a hive of activity. Now however its pretty lifeless as you can probably tell so if are pining for more of the same you can find me over at http://sqlblog.com/blogs/jamie_thomson. I look forward to seeing you there!

MDM axioms

This week The Galloping Data Architect and I are attending the Gartner MDM conference in Hollywood, Florida. As the week has gone on I've been making a note of quotes that I hear or conclusions that I draw myself whilst listening to the various speakers that feel pertinent to me based on my own MDM experiences over the past two years. I thought it would be useful to list some of those here in what I will colloquially call my "MDM axioms". If the quote is not attributed to anyone then its a conclusion that I drew myself while listening to others.

  • "No amount of SOA is going to be useful without MDM." - Andrew White, Gartner Research VP
  • "Traditional approaches to BI do not solve the master data problem for operational systems."
  • "[MDM] is not just about technology. Your MDM initiatives will fail without MDM governance." - John Radcliffe, Gartner Research VP
  • "MDM can facilitate a convergence of business intelligence and operational applications."
  • "Modeling lists of entities and their attributes in an MDM system is not much use if we do not model the relationships between them."
  • "CIOs are worried that by creating true transactional MDM systems then they are also creating a single point of failure." - Justin Lafayette, IBM
  • "In a phased approach to MDM, if you do phase 1 successfully then other people within the organisation will start knocking on your door." - David Corrigan, IBM
  • "Data quality is a pre-requisite for MDM success." - Ted Friedman, Gartner VP Distinguished Analyst
  • "MDM systems can be an infrastructure on which to build operational systems such as BI, CRM & ERP applications. In turn, Data Quality initiatives are an infrastructure on which to build MDM systems."
  • "Data Quality is not a technology issue and Data Quality is never solved forever." - Ted Friedman, Gartner VP Distinguished Analyst
  • "The IT department does not feel the pain of Data Quality issues, the business does. Hence, the business needs to be engaged in addressing those issues."
  • "A data warehouse is the wrong place at which to start solving data quality."
  • "A service oriented architecture (SOA) will not solve Data Quality issues. On the contrary, addressing Data Quality issues will enable successful SOA implementations."
  • "Position Data Quality as a business issue and a major consideration for MDM, not as a technology solution." - Ted Friedman, Gartner VP Distinguished Analyst

According to a dictionary I just looked at an axiom is "a self-evident truth that requires no proof". Well, maybe then I've been a little impertinent in calling these things above axioms so over the coming weeks and months I shall endeavour to better explain what some of these mean and why I think they are worth remembering. Watch this space.

-Jamie

Published 20 September 2007 23:07 by jamie.thomson

Comments

 

The Galloping Data Architect said:

The NFL came to the UK the other week, when the New York Dreadnoughts took on the Miami Flange Brackets

November 22, 2007 17:51
 

The Galloping Data Architect said:

I'm back! It’s been a while since my last blog post but reader-pressure has forced me to come out of

October 2, 2008 19:04
 

The Galloping Data Architect said:

I'm back! It’s been a while since my last blog post but reader-pressure has forced me to come out of

October 6, 2008 03:08
New Comments to this post are disabled

This Blog

Syndication

Powered by Community Server (Personal Edition), by Telligent Systems