Comments on: The three pillars of Business Intelligence http://www.ebusinessblog.org/380/the-three-pillars-of-business-intelligence/ Leveraging marketing & technology to solve business problems. Tue, 03 Jan 2012 04:25:01 +0000 hourly 1 http://wordpress.org/?v=3.3 By: @Infobright http://www.ebusinessblog.org/380/the-three-pillars-of-business-intelligence/comment-page-1/#comment-5256 @Infobright Sat, 24 Jul 2010 01:36:10 +0000 http://www.ebusinessblog.org/?p=380#comment-5256 Hi Eric, Great transition from the hospital to BI. Once your baby is born you will have lots of time during the night to ponder the mysteries of BI and data warehousing! Also glad you found Infobright. Almost half of our customers use our analytic database for analysis of web/online data, as it is was designed for fast query response against large data volumes with minimal effort and at low cost. Good luck with the baby! Susan Davis, VP Marketing, Infobright Hi Eric,
Great transition from the hospital to BI. Once your baby is born you will have lots of time during the night to ponder the mysteries of BI and data warehousing!

Also glad you found Infobright. Almost half of our customers use our analytic database for analysis of web/online data, as it is was designed for fast query response against large data volumes with minimal effort and at low cost.

Good luck with the baby!

Susan Davis, VP Marketing, Infobright

]]> By: Martin Edic http://www.ebusinessblog.org/380/the-three-pillars-of-business-intelligence/comment-page-1/#comment-5128 Martin Edic Tue, 06 Jan 2009 08:36:59 +0000 http://www.ebusinessblog.org/?p=380#comment-5128 Hi Eric, Nice roundup post of the entire marketing dashboard situation. We're in the social media monitoring space, however SM2 takes a different approach to the data side of the process. For the last year we have been collecting social media conversations from virtually every source available including blogs, wikis, Twitter-type microblogs, social nets, etc. with millions of new results added daily. We have a database of over 1 billion of the conversations with up to 30 fields of meta-data for each. The SM2 user has access to this data via a keyword search functional that both pulls results and creates various analytics from the associated meta data including sentiment with tone, gender, age, geo-location with mapping, author tags, themes, etc. Extensive trends analysis and reporting options also. Besides the listening aspect there is the engagement piece and finding ways to manage that workflow including developing some kind of ROI. We are building a workflow system that addresses the outbound marketing aspects. Free test version at the link associated with this comment. Hi Eric,
Nice roundup post of the entire marketing dashboard situation. We're in the social media monitoring space, however SM2 takes a different approach to the data side of the process. For the last year we have been collecting social media conversations from virtually every source available including blogs, wikis, Twitter-type microblogs, social nets, etc. with millions of new results added daily. We have a database of over 1 billion of the conversations with up to 30 fields of meta-data for each. The SM2 user has access to this data via a keyword search functional that both pulls results and creates various analytics from the associated meta data including sentiment with tone, gender, age, geo-location with mapping, author tags, themes, etc. Extensive trends analysis and reporting options also.
Besides the listening aspect there is the engagement piece and finding ways to manage that workflow including developing some kind of ROI. We are building a workflow system that addresses the outbound marketing aspects. Free test version at the link associated with this comment.

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