IBM Cognos Review

You can switch between analysis on a high-level, aggregated data and detailed data.


What is most valuable?

The use of the dimensional and relational data model for drill-down, drill-up and drill-through: This is how you can switch between analysis on a high-level, aggregated data and detailed data.

How has it helped my organization?

I have been a business intelligence and analytics consultant for 15 years and I have always provided value to my customers.

What needs improvement?

The improvement to make is for BI to be extended into analytics; more Watson technology in BI. Watson from IBM is for more predictive and prescriptive analysis (big data) and Cognos BI is for more descriptive (BI). When IBM brings the Watson technique into BI, you will have one platform for reporting over past, present and future.

For how long have I used the solution?

We have been using the solution for 15 years.

What do I think about the stability of the solution?

We have never encountered any stability issues.

What do I think about the scalability of the solution?

We have never encountered any scalability issues.

How are customer service and technical support?

Over the last 10 years, I have never needed to use the customer support.

Which solution did I use previously and why did I switch?

Over these 15 years, I have worked with Oracle BI, Microsoft BI, Qlik and several other tools. Beside Cognos, none were compliant enough with the needs of my customers.

How was the initial setup?

Starting with Cognos wasn't easy before the most recent version 11, Cognos Analytics.

What's my experience with pricing, setup cost, and licensing?

Use one of the best BI tools, which Cognos is.

Which other solutions did I evaluate?

I have rolled into it by starting BI within Cognos.

What other advice do I have?

First look at what you need, before buying a BI tool and implementing it.

**Disclosure: I am a real user, and this review is based on my own experience and opinions.
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