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Chris Di LulloSr. IT Pro Marketing ManagerTwitter | LinkedIn
Jonathan RozenblitTechnology AdvisorMicrosoft Canada
Stephen IbarakiIndustry AnalystFCIPS, I.S.P., ITCP/IP3P, DFNPA, CNP, FGITCA, MVP
Business is getting more and more competitive and many organizations are looking to be able to get an edge by collecting data and analyzing it to make better business decisions. One company may want look at weather patterns to better stock their stores while another may need to analyze information to figure out how the introduction of a new product may cannibalize the sales of other products.
The use of business intelligence is not just for large conglomerates. The technology is available so that smaller and mid-sized companies can also make use of data to grow their businesses intelligently. But the implementation of a business intelligence system is not without its challenges.
Join me as I chat with Ed Raffin from National Money Mart, Paul Barter from T4G and Ryan Dochuk from Microsoft Canada and we discuss common pitfalls of using business intelligence for performance management and how National Money Mart is avoiding them and using business intelligence for its planning department.
The podcast is available in both MP3 and WMA formats. For more information about this podcast series, check out the IT Manager Podcast web page.
Podcast Interview Time Index with Topics
Business Intelligence is still too elitist and growing still too slow. Currently business intelligence is in corporate arena and it needs to move to consumer.
<a href="http://blog.maia-intelligence.com">MAIA intelligence</a> blogs on various business intelligence related issues. Let us improve with your valuable comments.
What you say is true. In fact, it's still mainly in the realm of large businesses, but it's now becoming cost effective (and, imho, necessary) for smaller and mid-sized businesses.
It would be nice to be able to use BI as a consumer when making decisions. I like the examples you use in your blog post (http://blog.maia-intelligence.com/?p=14) of using BI to choose schools, banks and healthcare. I think we've still got a ways to go before that becomes reality, though.