Mon, 9 November 2009
Here's Why Text-Based Content Access and Management Play Crucial Roles in Real-Time BI
Text-based content and information from across the Web are growing in importance to businesses. The need to analyze web-based text in real-time is rising to where structured data was in importance just several years ago. Indeed, for businesses looking to do even more commerce and community building across the Web, text access and analytics forms a new mother lode of valuable insights to mine. As the recession forces the need to identify and evaluate new revenue sources, businesses need to capture such web data services for their business intelligence (BI) to work better, deeper, and faster. In this podcast discussion, Part 3 of a series on web data services for BI, we discuss how an ecology of providers and a variety of content and data types come together in several use-case scenarios. In Part 1 of our series we discussed how external data has grown in both volume and importance across the Internet, social networks, portals, and applications. In Part 2, we dug even deeper into how to make the most of web data services for BI, along with the need to share those web data services inferences quickly and easily. Our panel now looks specifically at how near real-time text analytics fills out a framework of web data services that can form a whole greater than the sum of the parts, and this brings about a whole new generation of BI benefits and payoffs. Here to help explain the benefits of text analytics and their context in web data services are Seth Grimes, principal consultant at Alta Plana Corp., and Stefan Andreasen, co-founder and chief technology officer at Kapow Technologies. The discussion is moderated by me, Dana Gardner, principal analyst at Interarbor Solutions. View a full tranascript. Or download a copy. Sponsor: Kapow Technologies.
Direct download: BriefingsDirect-Web_Data_Services_for_Text_Analytics.mp3
Category:podcasts -- posted at: 4:42pm EDT