Friday 10 September, 2010


Data Quality and integration


Knowledge Management In Asian IT Organizations



The way organizations compete with one another has undergone a sea change owing to the evolving knowledge-intensive society. Intellectual and knowledge assets possessed by organizations need to be used optimally to derive maximum benefit. Managing this cache of knowledge or Knowledge Management hence becomes an important managerial task.
 
 
Are You Kidding Me? Software Support



The other day I was at a conference in a land other than the US. There were the usual topics – governance, data warehousing, data base design and so forth. One of the subjects that came up was ETL. I mentioned to a lady that there was a new technology for ETL that she ought to look at. I mentioned the new European ETL software company – XYZ. Her eyes got big when I mentioned XYZ.

 
An Overview Of Knowledge Management Technologies



KM technologies include data systems and information retrieval systems, knowledge repositories, digital library systems, corporate yellow pages systems and Web-based Intranet and Internet KM systems. All these enable better communication and e-learning among employees. Besides the hardware and software implementations workers also should be responsive to make KM a success.

 

Most Recent Data Quality and integration



It is very important for companies to recognize that the data they own are assets that should be protected and managed for maximum benefit. Before this can be done the data that is most important to the business should be identified. This important article proposes two ways of identifying such data, namely: Pinpointing the data that a) can have the most impact on the organization's overall performance and b) are most unique, novel, or different. Several very helpful suggestions are also made on how such data can be optimally managed and utilized.  

 



Data backups are not as simple as it used to be (If it was indeed ever thus!). Modern ways of working means that a great deal critical data is likely to reside offsite rather than on your treasured backup tapes!

 



Two wrongs don't make a right. The quality of data held in corporate systems is an IT problem. The business can ignore it – wrong. The quality of data held in corporate systems is a business problem. IT can ignore it – wrong.

 



Strategic Path interviews Tom Redman regarding the right approaches to Data Quality, the economic crisis and his upcoming keynote at DQ Asia.

 



And so these men of Indostan
Disputed loud and long,
Each in his own opinion
Exceeding stiff and strong,
Though each was partly in the right,
And all were in the wrong!
 



... and how to prevent it

A perennial problem for IT departments is getting business buy-in to the accountability for data quality. Poor data quality impairs the business ability to manage its outcomes – but there is often little or nothing that IT can do to fix the problem.

 



In the seventies, a small integrated electronics company started in California's bay area. Although their technology of fitting more and more integrated circuits into a smaller space eventually allowed room-sized computers to fit into your laptop today, that same exponential growth of information grew into a cancerous tumor threatening their very ability to make good decisions with quality data. Something as trivial as how the founding fathers created part numbers for their products and components that went into their products eventually grew into a stifling roadblock to managing their product decisions.
 



Successful people in knowledge professions understand that delivering value from knowledge is primarily about people and their interactions. Through sharing ideas, 'knowledge people' build trusting relationships and make a difference.

 


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