Data Quality and integration
When Larry Ellison throws down the gauntlet of transaction processing benchmarks and offers to pay "any company $10 million if [their] Oracle database application doesn't run at least twice as fast on SUN hardware as on IBM's fastest computer", there is no doubt that a rivalry exists between the Red Army of Redwood City and the Blue Suits of Armonk.
Compensating For Data Shortcomings Within The Banking And Financial Sector
Poor data quality is endemic in every organisation. Generally speaking, most organisations accept this as a day-to-day operational challenge and devise both simple and complex work-arounds to compensate for the data's shortcomings.
Poor data quality is endemic in every organisation. Generally speaking, most organisations accept this as a day-to-day operational challenge and devise both simple and complex work-arounds to compensate for the data's shortcomings.
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 can have the most impact on the organization's overall performance and are most unique, novel, or different.
Most Recent Data Quality and integration
Executive Summary
In January 2009, Informatica commissioned Forrester Consulting to examine the total economic impact and potential return on investment (ROI) enterprises may realize by standardizing data integration practices from hand-coding and one off tools to a common platform for data integration and moving data integration away from a project-by-project view to more of an enterprise focus on data integration through the creation of a centralized shared services environment also referred to as an Integration Competency Center (ICC) or Center of Excellence (CoE).
In January 2009, Informatica commissioned Forrester Consulting to examine the total economic impact and potential return on investment (ROI) enterprises may realize by standardizing data integration practices from hand-coding and one off tools to a common platform for data integration and moving data integration away from a project-by-project view to more of an enterprise focus on data integration through the creation of a centralized shared services environment also referred to as an Integration Competency Center (ICC) or Center of Excellence (CoE).
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. She knew that XYZ was in the marketplace. She also knew that XYZ was Open source and had a substantially different pricing model than the other ETL tools. She knew that for the acquisition cost XYZ was priced at significantly lower cost than other ETL products.
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.
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! Danny Davis points out that we should respond to this trend by including offsite data in our backup and disaster recovery (DR) regimes.
Tommy Drummond, VP Product Marketing, Data Quality Division, Informatica speaking at Data Quality Asia Pacific event, March 2009 Sydney.
Full conference presentation accessible free of charge.
Full conference presentation accessible free of charge.
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!
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!
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