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        David Menninger's Analyst Perspectives

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        QlikView 11 Advances Collaboration and Changes Course on Mobility

        QlikTech recently introduced QlikView 11, the latest version of its business intelligence (BI) software, which emphasizes new collaboration features as well as enhancements to its user interface. In an about-face, though, in its approach to mobile access, the company has moved away from its native iPad application to a browser-based app using HTML5 technology.

        It has been a year since QlikView 10 was launched and I assessed it. During that time, we’ve seen the popularity of social media drive a rising interest in collaborative BI. But QlikTech is not yet explicitly linking the two. While it has announced integration with Chatter, the social media tool from, and is demonstrating those capabilities, they are not part of QlikView 11. The collaborative features of this release include new interpretations of well-known features such as annotations and threaded discussions. Version 11 also adds a unique collaborative BI capability to share the QlikView environment with others, much as you might share your desktop in a WebEx session. In fact, as part of my briefing about the new release, I was given a link to see the new version and interact with it even though I had no installation or QlikView license of any kind on my computer. One way in which QlikTech has reinterpreted annotations is to allow the user to save a snapshot of the system at the time the note was taken. In this way readers of the note can understand the context in which the note was written.

        QlikView 11 also includes expanded comparative capabilities. Beginning with QlikView 10, users could create custom groupings of data to include in the display, but they were static. The comparative analysis capabilities of this release enable users to continue to navigate and perform selections within the groups. For example, a custom grouping to compare the northeast region with the southeast region can be further refined to see how individual product sales compare within those groups. The product also has some easy-to-understand visualizations of how the groups and their sub-selections relate to each other and to the larger group from which they were selected.

        The company has added more application development capabilities in this release as well. QlikView 11 exposes application objects in a more granular fashion, making it easier to control the display and interaction of objects on the screen. The new version also supports third-party objects more fully, allowing them to execute custom code which the previous version could not do. QlikTech has also partnered with data integration vendor Informatica to build QlikView data files using Informatica’s products. This integration should help speed up the data preparation process, which our analytics research shows is where people spend much their time.

        As QlikView has gained more enterprise customers, the company has been adding features to appeal to the IT organizations that must support its deployments. In this release, the product reloads faster. It has more load-balancing options, and the management consoles of the previous versions have been consolidated. More of the administrative APIs are available so these tasks can be automated. Security has been enhanced with more granularity. Now the auditing feature does not have to be applied at a system level but can be applied to individual applications, which eliminates some of the overhead associated with auditing.

        While QlikTech continues to add interesting features, there are some omissions from its product. For example, it has no specific features to support Hadoop for large-scale data. In fact, QlikView’s memory-based architecture will make it challenging for the company to support Hadoop as a data source, and our recent Hadoop benchmark research shows that many enterprises are adopting Hadoop. A QlikView Community poll also shows interest in Hadoop as a data source. Predictive analytics is another area lacking in the QlikView product line. (Discussions in the QlikView Community suggest only a moderate level of interest in adding these capabilities.) Our analytics research indicates that 37% of the 2,600 organizations studied said predictive analytics are important although only 13% have deployed such capabilities so far. We are currently conducting research specifically on predictive analytics to understand this dichotomy better.

        With respect to mobile capabilities, one of our five key technology trends for BI, QlikView has opted for a cross-platform approach rather than continuing to provide or expand its native applications. While some BI vendors such as Information Builders are adopting a similar strategy, others such as IBM, which recently introduced a native iPad application, are going the opposite direction. The key advantage to enterprise users in QlikTech’s choice of HTML5 is cross-platform support, which enables organizations to support a wider variety of devices. However, as I worked with the HTML5 version from the demo site, I found the browser-based version much less appealing than a native application. For example, my stretch gestures were often interpreted as selections. The browser-based drop-downs were harder to work with than native application controls, and the need to dedicate a portion of the screen to non-BI browser functionality (such as entering URLs) leaves less space for BI-specific functionality.

        QlikTech deserves credit for continuing to enhance its product’s ease of use and providing new collaborative capabilities. Enterprise IT should welcome the new administrative and security enhancements. It still has more work to do on the big-data and predictive analytics fronts, which are not addressed in this release. And it will be up to users to judge whether QlikTech has taken a step backward on the mobile front.


        David Menninger – VP & Research Director


        David Menninger
        Executive Director, Technology Research

        David Menninger leads technology software research and advisory for Ventana Research, now part of ISG. Building on over three decades of enterprise software leadership experience, he guides the team responsible for a wide range of technology-focused data and analytics topics, including AI for IT and AI-infused software.


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