Cloud Intelligence
Cloud Intelligence.
There are 3 new things in the cloud intelligence compared to the old business intelligence. 1. Elasticity
Dynamic on-demand pro-visioning of resources. For cloud computing, this term has mostly been used in relation to scaling up/down the performance, e.g., the number of processing nodes. While this form of elasticity is obviously also relevant for cloud intelligence, an even more important type of elasticity is the ability to dynamically bring in new data sources to meet emerging needs for new analyses 2. The second thing is that cloud intelligence, as opposed to traditional business intelligence, will be much more bottom-up and user-driven as opposed to the top-down enterprise-driven approach of traditional BI. The users will increasingly be private citizens or other types of more independent actors collaborating in ever-changing constellations to achieve a temporary common goal. 3. The third, and perhaps most important, thing is the fundamentally new economic model needed for cloud intelligence. In traditional BI, the (large) cost of building a BI system is initially covered by an enterprise investment which must later the paid back through savings or new earnings in the enterprise. In cloud intelligence, there will typically no longer be such a central entity paying the bill. Instead, pay-as-you-go models that allow users to pay (a small amount) per use, e.g., of a data set, in return for a one-time advantage, will become the norm in combination with open source inspired models. Cloud intelligence systems will then be grown over time (rather than built) through a collaborative community effort.
http://murdoch.summon.serialssolutions.com/search?s.cmd=nextPage()&s.q=business+intelligence+in+the+clouds ( cloud intelligence: what is really new) by, Darmon, Jerome, Torben; Middlefart, Morten http://0-dl.acm.org.prospero.murdoch.edu.au/citation.cfm?id=2347683 ( this is the link to the pdf file but then after saving it. I
There are 3 new things in the cloud intelligence compared to the old business intelligence. 1. Elasticity
Dynamic on-demand pro-visioning of resources. For cloud computing, this term has mostly been used in relation to scaling up/down the performance, e.g., the number of processing nodes. While this form of elasticity is obviously also relevant for cloud intelligence, an even more important type of elasticity is the ability to dynamically bring in new data sources to meet emerging needs for new analyses 2. The second thing is that cloud intelligence, as opposed to traditional business intelligence, will be much more bottom-up and user-driven as opposed to the top-down enterprise-driven approach of traditional BI. The users will increasingly be private citizens or other types of more independent actors collaborating in ever-changing constellations to achieve a temporary common goal. 3. The third, and perhaps most important, thing is the fundamentally new economic model needed for cloud intelligence. In traditional BI, the (large) cost of building a BI system is initially covered by an enterprise investment which must later the paid back through savings or new earnings in the enterprise. In cloud intelligence, there will typically no longer be such a central entity paying the bill. Instead, pay-as-you-go models that allow users to pay (a small amount) per use, e.g., of a data set, in return for a one-time advantage, will become the norm in combination with open source inspired models. Cloud intelligence systems will then be grown over time (rather than built) through a collaborative community effort.
http://murdoch.summon.serialssolutions.com/search?s.cmd=nextPage()&s.q=business+intelligence+in+the+clouds ( cloud intelligence: what is really new) by, Darmon, Jerome, Torben; Middlefart, Morten http://0-dl.acm.org.prospero.murdoch.edu.au/citation.cfm?id=2347683 ( this is the link to the pdf file but then after saving it. I