This cookie is installed by Google Analytics. This cookie is set by Google and is used to distinguish users.
The cookies store information anonymously and assign a randomly generated number to identify unique visitors. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. They register anonymous statistical data on for example how many times the video is displayed and what settings are used for playback.No sensitive data is collected unless you log in to your google account, in that case your choices are linked with your account, for example if you click “like” on a video. These cookies are set via embedded youtube-videos. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. Moreover, because of this advantage, many of QlikTech’s customers use the product for rapid prototyping, often when another BI platform standard is already in place.”Īnalytical cookies are used to understand how visitors interact with the website. More than three-quarters of QlikView customers said they selected it primarily for its ease of use for end users (the only vendor on the quadrant where above 75% of those surveyed said this was the case). Anecdotal feedback from QlikView end users invariably centers on how intuitive and likable the product is to use. QlikTech’s QlikView product is a self-contained BI platform, based on a wholly in-memory data store, with a set of well-integrated BI tools for building highly interactive applications. Evidence for this can be found in the buzz around it (with a brand many times more prominent than its current market share), its continued growth, and the success of its July 2010 IPO on NASDAQ — the first BI flotation for many years. ” QlikTech is the poster child for a new end-user-driven approach to BI.
Scorecards are primarily delivered by corporate performance management (CPM) vendors (see “Strategic CPM as a Driver for Organizational Performance Management”). Also, most BI vendors report limited sales activity for their scorecard products.
Vendors offering both sets of capabilities are featured in both Magic Quadrants.įor this Magic Quadrant, Gartner defines BI and analytics as a software platform that delivers 17 capabilities across three categories: information delivery, analysis and integration.Īs a result of the market dynamics discussed above, the capability definitions in this year’s Magic Quadrant have been modified with the following additions and subtractions to reflect our current view of critical capabilities for BI and analytics platforms. Because of the growing importance of advanced analytics for descriptive, prescriptive and predictive modeling, forecasting, simulation and optimization (see “Extend Your Portfolio of Analytics Capabilities”) in the BI and information management applications and infrastructure that companies are building - often with different buyers driving purchasing and different vendors offering solutions - this year Gartner has also published a Magic Quadrant exclusively on predictive and prescriptive analytics platforms (see Note 1). The BI and analytics platform market is in the middle of an accelerated transformation from BI systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization. But “governed data discovery” - the ability to meet the dual demands of enterprise IT and business users - remains a challenge unmet by any one vendor. Magic Quadrant for Business Intelligence and Analytics Platforms Magic Quadrant for Business Intelligence and Analytics Platformsĭata discovery capabilities are dominating new purchasing requirements, even for larger deployments, as alternatives to traditional BI tools.