Just been 'eating our own dog food', as we do a lot with QVSource. And here are the results:

I'm not suggesting it's necessarily a good idea to load your QlikView application with data from this many sources (although it can make sense) but we were very pleased with how easy it was to create a meaningful dashboard from 9 of the 30 or so different Web APIs which QVSource can connect to.

In this dashboard we are visualising a number of things:

• Tweets/Retweets mentioning QVSource plus Tweets from the QVSource account itself [using the QVSource Twitter Connector].
• Likes of our main Facebook Fan page as well as of the Like button on our main website [using the QVSource Facebook Insights Connector].
• Sentiment of the Tweets [using the QVSource Sentiment Analyser Connector].
• Signups to QVSource [using the QVSource Google Spreadsheets Connector].
• Website Visitors [using the QVSource Google Analytics Connector].
• Blog Posts mentioning the word 'QVSource' [using the QVSource Twingly Connector].
• Key Tweeters [using both the QVSource Klout & PeerIndex Connectors].

A few notes about the dashboard.

• The MonthEx dimension is a month since March 2011 which is about when we started discussing QVSource publicly and allowing beta sign ups.
• You will notice the Fan Page Likes line only starts in about October 2011 - This is because it's not possible to get Facebook Insights data on a Fan Page until you have at least 30 likes.
• The Tweets only go back about a week. This is because the Twitter search API only goes back up to a week or 1500 Tweets. Normally we would recommend running daily or hourly reloads of this data and saving the results away to a QVD file.
• In the data model we also have data about posts on our Facebook Fan Page [using the QVSource Facebook Fan Page Connector] which we aren't yet showing in the dashboard.
• It uses our new Twingly connector which can search for structured data from over 53 million blogs!

This dashboad includes data from 9 Web APIs and took a couple of hours to build using QVSource. I think I could have easily carried on adding useful data from quite a few other sources. In particular MailChimp (which we use to manage our newsletters) provides a whole set of additional data.

If you would like to see how easily you can enhance your QlikView applications with other data sources you can sign up for a free evaluation of QVSource here:
http://www.qvsource.com/

We are absolutely delighted to announce that QVSource is now commercially available!

We would like to sincerely thank all of you who have been involved in the beta prorgramme for your great feedback, ideas and support in getting QVSource to where it is today. Our mission is to help make QlikView the best connected BI tool on the market and we feel we are already well on our way to acheiving this.

We have focused on getting the core platform and SDK and the most requested connectors ready for this initial release (listed here). Many other connectors are still in beta and available for testing in the product, these will be released when we are satisfied with their performance and stability.

Please get in touch for early bird pricing, especially if you have been providing bug reports, feature suggestions and other feedback!

We also have a implementation/reseller partner scheme available for those interested offering QVSource alongside QlikView.