Finally, I discovered someone who perfectly defined what it means to be a good programmer. All you have to do is look at this online explanation published by Clara Nees. According to Nees, a good programmer is one who has the ability to work with any programming language. A good programmer will also quickly learn the new programming language since the person will already have sound knowledge of the basic concepts of algorithms and basic awareness of the language's syntax and rules.
The same goes for the business intelligence area. A good consultant in business intelligence will be someone who will not be confined by one BI tool or methodology just because someone is trying to market a tool that may not be the one your company needs. A good business intelligence consultant will be knowledgeable enough to have experience with a variety of business intelligence tools, so the selection of the right methodology and platform will be based on broad knowledge of various BI tools and projects. The key is there's no conflict of interest with any BI tool, since this consultant has no agreement with any BI provider — regardless of whether he or she prefers one BI tool over others. The consultant will use his or her expertise to choose the best BI/DWH/BD/ETL architecture so the company gets the solution it needs. This is the definition of a good business intelligence consultant.
A lot of human resources recruiters don't know there's a big difference between a consultant who is an expert in one programming language and one who has experience in a variety of programming languages. Most companies are comfortable with consultants having extensive experience in only one programming language, but why not consider someone who has extensive experience across a variety of platforms and conditions?
So which type of consultant would be best suited for a company when the time comes to change its current business intelligence platform or tool? The one who only has experience with one BI tool or product, or the one with a vast variety of experience across many BI tools and platforms — and is therefore best positioned to face the change and learn the new business intelligence tool or platform the company is considering?
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