The 2014 Magic Quadrant for Business Intelligence and Analytics Platforms is out. You can get your copy here.
Tableau is placed as a Leader for the second year in a row – and we’re thrilled about that. (See the graphic below.) Gartner’s analysis of the Business Intelligence market is that it is based on hundreds of surveys of actual product users. So deep thanks go out to our customers since they are the ones who answer Gartner’s call for input. We aim to build products that delight our customers; so it’s gratifying to see that our products are helping them and delivering a great analytics experience.
The document reviews all the major vendors and it’s easy to see how each of them is positioned in the Magic Quadrant itself. But the report is also extremely useful because of its analysis of key trends in this industry. There were 2 things I saw of interest.
First is that Gartner continues to recognize the emerging dominance of “data discovery” vendors. The major headline is that data discovery capabilities are dominating new purchasing requirements even for large-scale deployments. The key caution is that governing data discovery is challenging. We see these trends too. Our growth is proof of the value of “data discovery” and we hear customers asking for more help on governance and IT-driven needs. That’s why our development team is investing significant resources and time into building more robust enterprise and governance capabilities in Tableau 8.2, due out this summer, and 9.0.
And second is that Gartner has changed the criteria by which they evaluate business intelligence platforms to better reflect market dynamics and trends. Specifically, they’ve dropped 3 capabilities that once helped define Business Intelligence: Scorecarding, Predictive Analytics and Prescriptive Analytics. Scorecards are something few companies use; Predictive Analytics and Prescriptive Analytics are now covered by a different report.
The bigger point is that they’ve added 5 capabilities:
- Geospatial and location intelligence: answering questions about “where” are critical components to analysis so we’re happy to see mapping and geographic analysis included
- Embedded advanced analytics: being able to get deeper answers that leverage the statistical power of other applications is valuable. As an example, we integrated R in our 8.1 release.
- Business user data mashup and modeling: Gartner calls this “code-free, ‘drag and drop,’ user-driven data combination of different sources and the creation of analytic models” – this is “business as usual” for Tableau customers who use our features like data blending, grouping, on-the-fly hierarchies, etc.
- Embeddable analytics: we think being able to embed your dashboards, reports and visualizations in the context of a business process, an application or portal is definitely a good thing.
- Support for big data sources: of course your analytics solution should be able to analyze all your data – no matter its size, location, or format.
These new capabilities are areas that Tableau has already developed solutions but where we continue to innovate. We’ll keep pushing the envelope, driven by what our customers want and need.
The report is highly detailed and has much more information and analysis to offer – be sure to read the full report here.