I have come across an interesting article and would like to post it on my blog.
read the complete article here.
Excerpt:
Introduction
What is Business Intelligence? The term "Business intelligence" was coined by Howard Dresner in the late 80s to describe an emerging discipline concerned with the discovery of information in an enterprise. Over the years the term has become diluted and ambiguous and thus has come to mean a great many things to a great many people. In this blog entry I want to explain exactly what I believe Business Intelligence (BI) is and, crucially, what it is not.
Gazumping Some Myths
Firstly, it is necessary to explode a few myths about BI. I use the term "information worker" herein to refer to a person that would make use of BI.
Myth #1 : BI is synonymous with Online Analytical Processing (OLAP)
Myth #2 : BI is all about tools
Myth #3 : BI is synonymous with a data warehouse
Conclusion
It is time for Business Intelligence applications to step over the boundaries that traditional paradigms have enforced upon it. The world of work is changing, people have different demands of their data and delivering valuable information in a timely manner is more important now than it has ever been.
read the complete article here.
read the complete article here.
Excerpt:
Introduction
What is Business Intelligence? The term "Business intelligence" was coined by Howard Dresner in the late 80s to describe an emerging discipline concerned with the discovery of information in an enterprise. Over the years the term has become diluted and ambiguous and thus has come to mean a great many things to a great many people. In this blog entry I want to explain exactly what I believe Business Intelligence (BI) is and, crucially, what it is not.
Gazumping Some Myths
Firstly, it is necessary to explode a few myths about BI. I use the term "information worker" herein to refer to a person that would make use of BI.
Myth #1 : BI is synonymous with Online Analytical Processing (OLAP)
Myth #2 : BI is all about tools
Myth #3 : BI is synonymous with a data warehouse
Conclusion
It is time for Business Intelligence applications to step over the boundaries that traditional paradigms have enforced upon it. The world of work is changing, people have different demands of their data and delivering valuable information in a timely manner is more important now than it has ever been.
read the complete article here.
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