Tag Archives: BI

Reporting: why it pays to be radical

“We need the new system to produce 300 reports.” “That’s a lot of reports. Why so many?” “Because that’s the number of reports we have now.” Almost every BI professional will, at some point in their career, have had a conversation with a client that goes something like that. In most business transformation projects, a common expectation is […]

Data on demand: why a good data model matters

 A new colleague joined my project this week. He has never worked with data architects before and was curious about what, exactly, we do. He knew about the end result: typically an analytical report of some kind, measuring key performance indicators or providing answers to common business questions. “Don’t you just need to write a […]

Warehouse

BI 101: What is a data warehouse?

It is fair to say that the foundation stone upon which nearly every BI solution is built is the data warehouse. So what is it, and what makes it different from a conventional database? The first thing to stress is that a data warehouse is still a type of database. What makes it different is […]

Business Intelligence

BI 101: What is Business Intelligence?

For the uninitiated, the term “business intelligence” has the potential to generate quite a lot of questions. When is business ever unintelligent? How is it different from business analysis? What tools and skills does it employ? Why is it important? Would my business benefit from it? This first post in the “BI 101” series begins […]

The Cloud

Amazon Redshift

At its recent re:Invent partner conference, Amazon unveiled a cloud-based data warehousing solution, provisionally named Redshift. The Register has more details here. This is not the first time that the concepts of “cloud” and “BI” have come together. What is interesting, though, is how Amazon is seeking to position this new technology (or, at least, […]