http://timoelliott.com/blog/2007/09/the_top_6_on_demand_bi_confusi.html Timo Elliott's Business Analytics Blog Fri, 10 Feb 2012 13:24:00 +0000 hourly 1 http://wordpress.org/?v=3.3.1 http://timoelliott.com/blog/2007/09/the_top_6_on_demand_bi_confusi.html/comment-page-1#comment-35 Alan S Michaels Thu, 13 Sep 2007 18:49:56 +0000 http://192.220.58.236/blog/?p=51#comment-35 How about: On-Demand BI Confusion point #7 ? 7. Is there any confusion about what will be in BI 3.0; and when will solutions be available? BI 3.0 is just around the corner. BI 2.0 information on demand is already starting to merge with disciplines in competitive intelligence (see SCIP.org) as well as strategic planning (see strategyplus.org). BI 3.0 will introduce the era of Automated Corporate Planning On Demand. It will include holistic corporate and business unit planning (including strategic, financial, and operational planning) which leverages internal and external BI information, software and services. How about: On-Demand BI Confusion point #7 ?
7. Is there any confusion about what will be in BI 3.0; and when will solutions be available?
BI 3.0 is just around the corner. BI 2.0 information on demand is already starting to merge with disciplines in competitive intelligence (see SCIP.org) as well as strategic planning (see strategyplus.org).
BI 3.0 will introduce the era of Automated Corporate Planning On Demand.
It will include holistic corporate and business unit planning (including strategic, financial, and operational planning) which leverages internal and external BI information, software and services.

]]> http://timoelliott.com/blog/2007/09/the_top_6_on_demand_bi_confusi.html/comment-page-1#comment-34 Ken Rudin Wed, 12 Sep 2007 00:54:00 +0000 http://192.220.58.236/blog/?p=51#comment-34 Timo, though I agree with some of your individual points, I think you're down in the weeds and missing the main points behind why on-demand BI is so hot. Your comments about pricing models, deployment costs, target markets, data integration, etc. all miss the main point that traditional on-premise BI solutions are complex to deploy and manage. As you know, they typically include connectors to data sources, data integration technologies, data cleansing engines, a data warehouse, and an analytic engine. The main point of on-demand BI is that it's ridiculous to ask someone to deploy and manage all that just to get even basic insight into their business. It's like asking them to manage their own nuclear reactor. It makes much more sense to provide BI as a service. For example, it would be crazy to suggest to a company that they manage their own nuclear reactor when all they want is electricity. You could argue that having your own reactor gives you more control over your electrical power, and that you can customize it to generate however many volts you want. But, at the end of the day, no one really wants to manage their own reactor. We all gladly pay someone else do it for us. Timo, though I agree with some of your individual points, I think you’re down in the weeds and missing the main points behind why on-demand BI is so hot. Your comments about pricing models, deployment costs, target markets, data integration, etc. all miss the main point that traditional on-premise BI solutions are complex to deploy and manage. As you know, they typically include connectors to data sources, data integration technologies, data cleansing engines, a data warehouse, and an analytic engine. The main point of on-demand BI is that it’s ridiculous to ask someone to deploy and manage all that just to get even basic insight into their business. It’s like asking them to manage their own nuclear reactor.
It makes much more sense to provide BI as a service. For example, it would be crazy to suggest to a company that they manage their own nuclear reactor when all they want is electricity. You could argue that having your own reactor gives you more control over your electrical power, and that you can customize it to generate however many volts you want. But, at the end of the day, no one really wants to manage their own reactor. We all gladly pay someone else do it for us.

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