Global Business Intelligence (BI) software vendor, Yellowfin, will host a series of Webinars, throughout Monday 27 and Tuesday 28 August.
Australia, (Sharewellnewswire.com) August 20, 2012 - The Location Intelligence Best Practices Webinars will explore the intensification of enterprise data mapping and dissect the major trends and non-negotiable best practices of Location Intelligence (LI).
LI enables business analysts and report consumers to apply geographic contexts to business data by combining location-based data with traditional metrics captured within a BI system.
Register for a Webinar time here: http://www.yellowfinbi.com/ YFCommunityNews-Webinar-event-Location-Intelligence-best-practices-117396
“Attendees will learn how to harness advanced mapping capabilities to advantage their organization by effectively aligning business development and strategy,” said Yellowfin CEO, Glen Rabie.
“As noted by IDC, 80% of corporate data has a spatial element, so Location Intelligence is an integral component of any enterprise data strategy. Merging location-based and traditional Business Intelligence information provides context to business data, uncovering previously unrealized relationships between different data types, to expose new business opportunities.”
Rabie said Webinar participants would learn:
•The latest trends driving development and demand for LI.
•Why the ability to map, visualize and understand data from a geographic standpoint will become an increasingly important part of any BI solution.
•How to deploy best practice LI to generate context, meaning and expose crucial relationships between data types.
•Why Yellowfin’s Macquarie University implementation was recognized by Ventana Research as the best 2010/11 worldwide example of LI and the most likely to produce significant business value heading into 2012.
•The latest trends driving development and demand for LI.
•Why the ability to map, visualize and understand data from a geographic standpoint will become an increasingly important part of any BI solution.
•How to deploy best practice LI to generate context, meaning and expose crucial relationships between data types.
•Why Yellowfin’s Macquarie University implementation was recognized by Ventana Research as the best 2010/11 worldwide example of LI and the most likely to produce significant business value heading into 2012.
“If the ability to understand the relationships between key data sets – your infrastructure, your customers, your suppliers – and discover new opportunities by effectively aligning development and strategy is important to you and your business, then this Webinar is a must,” said Rabie.
There are three concise forty minute Webinars scheduled throughout Monday 27 and Tuesday 28 August.
Following the Webinar, attendees will receive a copy of the presentation slides and a recording for on-demand viewing.
To register for a session, click here: http://www.yellowfinbi.com/ YFCommunityNews-Webinar-event-Location-Intelligence-best-practices-117396
About Yellowfin
Yellowfin is a global Business Intelligence (BI) software vendor passionate about making BI easy. Yellowfin is headquartered and developed in Melbourne, Australia, offering a highly intuitive 100 percent Web-based reporting and analytics solution. Founded in 2003 in response to the complexity and costs associated with implementing and using traditional BI tools, Yellowfin is a leader in mobile, collaborative and embeddable BI as well as Location Intelligence and data visualization. For more information, visit www.yellowfinbi.com
For further media information, interviews, images or product demonstration, please contact:
Lachlan James, Communications Manager on +61 03 9090 0454, 0431 835 658 or lachlan.james@yellowfin.bi
For regular updates and news, follow Yellowfin on Twitter (@YellowfinBI), LinkedIn (Yellowfin Business Intelligence) or email pr@yellowfin.bi to subscribe to Yellowfin’s free e-newsletter.
Source: http://www.sharewellnewswire.com/software-vendor-yellowfin-to-host-location-intelligence-best-practice-event-2476.htm/#ixzz24AajCBKt
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