By Philip Duplisey – Director Consulting Services

The popularity of Microsoft’s SharePoint product continues to grow. Not only is it Microsoft’s fastest growing product, and a billion dollar business, but a recent Gartner report predicted that the enterprise content management space would continue to grow by leaps and bounds. Microsoft is well positioned to be the dominant player with SharePoint.

Often used to facilitate collaboration, SharePoint provides content management features, allows for the implementation of business processes, and supplies access to essential information. It is therefore, little wonder that organizations would want to leverage their investment in both QlikView and SharePoint, and deliver QlikView analytics to a broad user base using SharePoint.

Using SharePoint with QlikView makes deployment simple, it’s easy to add or remove objects, and QlikView can leverage the built in security provided by Microsoft. Each object within QlikView becomes a WebPart for SharePoint. The way it works is that when the user opens the SharePoint page, their security credentials get passed to the QlikView server. The Server leases a CAL (named, document or session CAL) to the user, the QlikView web part is rendered with the data that the user has access to. The QlikView object (chart, graph or list box for example) is fully functional. This means the user can interact with the object to drill down and make selections. As the objects are all rendered from the QlikView server, associated data changes in the different web part object when selections are made…exactly like a ZFC QlikView application!

So, start building those mashups you’ve always wanted to build, and let us know how you are doing, and by the way, if you want examples, go to demo.qlikview.com. Most of what you see there is QlikView served up by SharePoint.

 

About the Author
Philip Duplisey, Director of Consulting Services at Bardess, has been implementing enterprise wide solutions globally at Fortune 500 companies for 15 years. He enjoys enabling the organization to find value in their data, and presenting that data in compelling ways that lead to deeper insights and improved performance.