Mon, 5 October 2009
Web Data Services Extend Data Access and Distribution Beyond the RDB-BI Straightjacket
This sponsored podcast discussion centers on making the most of web data services for business intelligence (BI). As enterprises seek to gain better insights into their markets, processes, and business development opportunities, they face a daunting challenge -- how to identify, gather, cleanse, and manage all of the relevant data and content being generated across the Web. In Part 1 of our series we discussed how external data has grown in both volume and importance across internal Internet, social networks, portals, and applications in recent years. As the recession forces the need to identify and evaluate new revenue sources, businesses need to capture such web data services for their BI to work better and fuller. Enterprises need to know what's going on and what's being said about their markets across those markets. They need to share those web data service inferences quickly and easily across their internal users. The more relevant and useful content that enters into BI tools, the more powerful the BI outcomes -- especially as we look outside the enterprise for fast shifting trends and business opportunities. In this podcast, Part 2 of the series with Kapow Technologies, we identify how BI and web data services come together, and explore such additional subjects as text analytics and cloud computing. So, how to get started and how to affordably bring web data services to BI and business consumers as intelligence and insights? Here to help us explain the benefits of web data services and BI, is Jim Kobielus, senior analyst at Forrester Research, and Stefan Andreasen, co-founder and chief technology officer at Kapow Technologies. The discussion is moderated by BriefingsDirect's Dana Gardner, principal analyst at Interarbor Solutions. View a full transcript, or download the transcript. Sponsor: Kapow Technologies.
Direct download: BriefingsDirect-Kapow_on_Web_Data_Services.mp3
Category:podcasts -- posted at: 3:57pm EDT