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SmartData Collective > Big Data > Data Warehousing > A list of potential DW/BI pitfalls – by someone who has clearly been there
Business IntelligenceData Warehousing

A list of potential DW/BI pitfalls – by someone who has clearly been there

Peter James Thomas
Peter James Thomas
2 Min Read
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Browsing through my WordPress Tag Surfer today (a really nice feature by the way), I came across an interesting list of problems that can occur in a data warehousing / business intelligence project, together with suggestions for managing these. A link appears below:
Eight Reasons why Data Warehouse and, subsequently, Business Intelligence efforts fail
The author, Raphael […]

pitfall

Browsing through my WordPress Tag Surfer today (a really nice feature by the way), I came across an interesting list of problems that can occur in a data warehousing / business intelligence project, together with suggestions for managing these. A link appears below:

Eight Reasons why Data Warehouse and, subsequently, Business Intelligence efforts fail

The author, Raphael Klebanov, has clearly lived the data warehousing process and a lot of what he says chimes closely with my own experience.

Some of his themes around business engagement, the alignment of BI delivery with business needs and the importance of education are echoed throughout my own writing. This article is definitely worth a read in my opinion.
 


 
Yes I know the illustraion ages me.
 

Posted in business, business intelligence, data quality, data warehousing, enterprise performance management, it business alignment, management information, technology Tagged: bi, business intelligence, data warehousing, information technology, it business alignment, management information, rapael klebanov

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