How to Avoid Business Intelligence Catastrophe – Part 1
Part 1: Start from a Data Driven Culture This is the first in a series of posts about the oft -overlooked elements of successful BI.
Part 1: Start from a Data Driven Culture This is the first in a series of posts about the oft -overlooked elements of successful BI.
Teams that choose to take an agile approach to data warehousing will be faced with a planning meeting at beginning of each iteration. The goal
Agile software development has become the preferred methodology of countless teams worldwide. The principles behind the agile manifesto serve as the rule book for those of us
Data warehouses provide organizations with a knowledgebase that is relied upon by decision makers. ETL (extract, transform, load) is the process that is responsible for
A quick Google search on “Failed BI Project” will yield more results than any normal human can read in a lifetime. Sure, many of these
Building a business intelligence solution requires specialized skillsets such as data modeling, data integration, data analytics, and visualization design. Leveraging a consulting firm’s services can
If you are preparing to start a business intelligence and/or data warehousing project, then you probably already know that BI project failure is not uncommon.
Ok, so you probably already know that Mike Rowe never shot a Dirty Jobs episode on data warehousing, but if he had there is no
You know how there are times in life when you see something, and you know from experience that someone is headed for a world of
There are many things about data warehousing that are subjective. The use of surrogate keys is clearly not one of them. Let’s start with a
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